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1 description "In computer science, ontologies are commonly understood as partly formal definitions of the conceptual elements in a domain of interest shared to by a community of adopters. Historically, the term "ontology" has been borrowed from the field of philosophy, and its meaning slightly changed, by computer science researchers. A popular justification for ontology-related research have been the challenges for information exchange, processing, and intelligent behavior on the World Wide Web, with its vast body of content, huge user base, linguistic and representational heterogeneity, and so forth. Suprisingly, there are just very few ontologies that are relevant at Web scale in the sense that they are used by a broad, open audience. The talk discusses whether there is a fundamental difference between traditional ontologies and Web ontologies, and analyze the the specific economic, social, and technical challenges of building, maintaining, and using socially agreed, global data structures that are suited for the WWW at large, also with respect to the skills, expectations, and particular needs of companies and Web developers".
2 description "The talk explores the issues and challenges that arise when building real world enterprise ontologies for large organizations. It addresses questions like: What is the purpose of the ontology? Where do you start? What do you include? Where does the knowledge come from? Do you use an upper ontology? Which one? The talk will also look at how to represent concepts beyond the usual people, places, and time and explore how these things impact the business. Many examples will be from the recently completed Sentara Healthcare Enterprise Ontology (SHEO) a comprehensive ontology in the business of healthcare".
3 description "The information revolution has transformed many business sectors over the last decade and the pharmaceutical industry is no exception. Developments in scientific and information technologies have unleashed an avalanche content on research scientists who are struggling to access and filter this in an efficient manner. Furthermore, this domain has traditionally suffered from a lack of standards in how entities, processes and experimental results are described, leading to difficulties in determining whether results from two different sources can be reliably compared. The need to transform the way life-science industry uses information has led to new thinking about how companies should work beyond their firewalls. The formation of groups such as the Pistoia Alliance has provided a catalyst to initiatives around semantic enrichment of the scientific literature and vocabulary standards. In this talk I will outline the traditional approaches major pharmaceutical companies have taken to knowledge management and describe the business reasons why pre-competitive, cross-industry and public-private partnerships have gained much traction in recent years. I will then consider the scientific challenges concerning the integration of biomedical knowledge, highlighting the complexities in representing everyday scientific objects in computerised form. This leads to the third strand, technology, and how the semantic web might lead us at least someway to a long-overdue solution. The talk will be illustrated by case studies, focusing on the €20 million EU-Open PHACTS initiative (openphacts.org), established to provide a unique public-private infrastructure for pharmaceutical discovery. I will describe the aims of this work, and how technologies such as just-in-time identity resolution, nanopublication and interactive visualisations are helping to build a powerful software platform designed to appeal to directly to scientific users across the public and private sectors".
1 description "From Greek mythology (abbreviated from the Wikipedia): Scylla and Charybdis were mythical sea monsters noted by Homer. Scylla was rationalized as a rock shoal (described as a six-headed sea monster) and Charybdis was a whirlpool. They were regarded as a sea hazard located close enough to each other that they posed an inescapable threat to passing sailors; avoiding Charybdis meant passing too close to Scylla and vice versa. According to Homer, Odysseus was forced to choose which monster to confront while passing through the strait... Since its inception Semantic Web research projects have tried to sail the strait between the Scylla of overly theoretical irrelevance and the Charybdis of non-scientific applied projects. Like Odysseus the Semantic Web community was wooed by the neatness of theoretical explorations of knowledge representation methods that endanger to crash the community into the Scylla – the rock of irrelevance. On the other side the maelstrom of Charybdis attracts the community as it tries to fulfill the next vision of the next web thereby loosing its scientific identity. In this talk I will discuss and exemplify the strengths, weaknesses, opportunities, and pitfalls (or threats) of each of these extremes. I will use this analysis as a basis for to explore some possible strategies to navigate the potentially stormy seas of the Semantic Web community's future.".
2 description "Today, governments and businesses have to deal with high degrees of complexity: The products they offer are highly individualized, there are many regulations they must comply with and all this has to be dealt with under a growing rate of change. Many organizations have tried to meet this challenge by reducing complexity, through the elimination of exceptions etc. Jeroen van Grondelle, principal architect at Be Informed, argues that the only way to deal with complexity is by embracing it. Ontologies have proven to be an excellent way to deal with all the different concepts that are introduced when products are defined and the supporting business processes are designed. When the right conceptualization is chosen, ontologies capture these policy choices in a natural way. Ontologies deal well with the heterogeneous nature of policy and regulations, which often originate from different legal sources and have different owners. The benefits exist throughout the entire policy lifecycle. The formal, precise nature of ontologies improves the quality and consistency of the choices made and reduces ambiguity. Because ontologies are well interpretable by machines, Be Informed succeeds in inferring many of the supporting services, such as process applications and decision services, from the ontologies, thereby eliminating the need for systems development. And the ability to infer executable services also allows for advanced what-if analysis and simulation of candidate policies before they are put into effect. Jeroen will show some examples where ontologies were successfully applied in the public sector and what the impact was on all parties involved, from policy officers to citizens. He will also present some of the research challenges encountered when ontologies are put to so broad use.".
3 description "With the rise of cloud services, users' personal data (from photos to bank transactions) are scattered and hosted by a variety of application service providers. Communication services like email and social networking, by virtue of helping users share, have the unique opportunity to gather all data shared in one place. As users shift their communication medium from email to social networks, personal data are increasingly locked up in a global, proprietary social web. We see the rise of the mobile phone as an opportunity to re-establish an open standard, as social data are often produced, shared, and consumed on the mobile devices directly. We propose an API where apps can interact with friends' phones directly, without intermediation through a centralized communication service. Furthermore, this information can then be made available on our own devices to personalize and improve online interactions. Based on this API, we have created a working prototype called Musubi (short for Mobile, Social, and UBIquitous) along with various social applications, all of which are available on the Android market.".
4 description "Data is today everywhere. The quantity and growth of generated data is enormous, its proper management challenges us individual users but also business and public organisations. We are facing data/information overflow and we are often handicapped by storing, managing, analysing and preserving all of our data. At the same time, this growing large amount of data offers us due to its intelligent linkage, analysis and processing business opportunities like establishment of new, innovative digital services towards end users and organizations; better decision making support in business and public sector; and increased intelligence and better knowledge extraction. This is the reason why many of us see data as the "oil of the 21th century". We are challenged to unlock the potential and the added value of complex and big data. It has become a competitive advantage to offer the right data to the right people at the right time. In my talk I will introduce the "value chain thinking" on data, than analyse its main technology and business challenges and inform about the ongoing and envisaged policy, infrastructure, research and innovation activities at European level.".
5 description "The World-Wide Web contains vast quantities of structured data on a variety of domains, such as hobbies, products and reference data. Moreover, the Web provides a platform that can encourage publishing more data sets from governments and other public organizations and support new data management opportunities, such as effective crisis response, data journalism and crowd-sourcing data sets. To enable such wide-spread dissemination and use of structured data on the Web, we need to create a ecosystem that makes it easier for users to discover, manage, visualize and publish structured data on the Web. I will describe some of the efforts we are conducting at Google towards this goal and the technical challenges they raise. In particular, I will describe Google Fusion Tables, a service that makes it easy for users to contribute data and visualizations to the Web, and the WebTables Project that attempts to discover high-quality tables on the Web and provide effective search over the resulting collection of 200 million tables.".
6 description "Twitter represents a large complex network of users with diverse and continuously evolving interests. Discussions and interactions range from very small to very large groups of people and most of them occur in the public. Interests are both long and short term and are expressed by the content generated by the users as well as via the Twitter follow graph, i.e. who is following whose content. Understanding user interests is crucial to providing good Twitter experience by helping users to connect to others, find relevant information and interesting information sources. The manner in which information is spread over the network and communication attempts are made can also help in identifying spammers and other service abuses. Understanding users and their preferences is also a very challenging problem due to the very large volume information, the fast rate of change and the short nature of the tweets. Large scale machine learning as well as graph and text mining have been helping us to tackle these problems and create new opportunities to better understand our users. In the talk I will describe a number of challenging modeling problems addressed by the Twitter team as well as our approach to creating frameworks and infrastructure to make learning at scale possible.".
dinner description "We've come a long way from small pockets of researchers contemplating how knowledge can be acquired, managed and used to a research area which has received many millions of Euros and Dollars in funding and is taken seriously by national governments and a number of major industrial players. I believe that the time is now ripe to take the next step. How do we become as large and as ubiquitous as for example the telecoms industry? In this talk I will outline a number of radical strategies which occasionally will be backed up by evidence and rationale.".
preconf description "Successful political campaigns have mastered the tactics and strategies used to effectively present an argument, manage and respond with authority during crisis, influence the debate and shape public perception. Yet, in today's 24/7 media environment it has become more difficult than ever to set an agenda, frame an issue or engage an audience. Four years ago, Barack Obama set a new standard for campaigning by changing the way new media was used to build an aspirational brand, engage and empower supporters, raise money and turn out voters. As the 2012 presidential race unfolds, the campaigns are stepping up their game. And in this cycle, they are embracing digital media more than ever. However, it's not only the President's campaign and his opponents who are faced with the challenge to create a narrative and frame the public debate. Organizations in the private sector often deal with the similar complex issues as they struggle to deliver tailored messages to target their audience, regardless of whether its costumers, investors, media, the general public or even potential employees. From storytelling to big data lifestyle targeting: Julius van de Laar will provide a first hand account on how today's most effective campaigns leverage battle tested strategies combined with new media tools to create a persuasive narrative and how they translate into actionable strategies for the corporate context.".
1 description "The traditional world of relational databases and enterprise data warehouses is being challenged by growth in data volumes, the rise of unstructured and semi-structured data, and the desire to extract more valuable business insights in order to remain competitive: we are entering the world of 'big data.' Views differ as to what constitutes 'big data' but a pragmatic definition is 'when the size of the data itself becomes part of the IT challenge.' Scale-out, commodity hardware-based solutions based on the map-reduce programming model for parallel processing on large hardware are emerging to address these Big Data requirements that have challenged traditional technologies. Simultaneously, interest is growing in Linked Data and Open Data and governments and other organisations around the world are publishing data on the web, offering public access to huge data volumes in an interoperable and extensible way using semantic technology open standards. The question naturally arises as to how these two emerging initiatives relate and this is the subject of the panel. Among the issues for discussion include: Linked Data and Big Data - how do they fit? Is reasoning over massive volumes of heterogeneous data feasible or desirable? Is consistency over massive volumes of heterogeneous data feasible or desirable? What representations are suitable for big data management? How can semantic technology be used in real-time environments with large volume data feeds? How big is big to qualify as Big Data and do traditional data mining techniques remain appropriate? What value can semantic technology bring to the concerns of Big Data? Is a new Theory of Data required and how can semantic technology contribute? We have assembled a panel from a variety of backgrounds with wide-ranging expertise for what should be a lively and informative debate!".
2 description "For whom are we creating the Semantic Web? As we wrestle with our ontologies, alignments, inference methods, entity extractions and triple stores, it's easy to lose track of the vast majority of users who have no idea what any of these things are, who they help, or what problems they'll solve. In this talk, I'll adopt the perspective of these end users. I'll identify a number of information management problems faced by them---such as organizing their personal information, communicating effectively on the web, and handling their incoming information overload. The Semantic Web can play a key role in solving these problems. But what will matter most to end users is not the details of the Semantic Web's syntax, model, or algorithms, but rather the interfaces and workflows through which end users interact with it. I will describe key characteristics of these interfaces and workflows, and offer an overview of the research that needs to be done to develop them as effective solutions for end users.".
3 description "Twelve years after the publication of the seminal article by Tim Berners-Lee, James Hendler and Ora Lassila, which expounded the vision of a Semantic Web characterised by dynamic and large scale agent interoperability, the Semantic Web still distinctly lacks a “wow factor”. Many SW applications exist, but too often they are characterised by few data sources put together at compile time to drive some relatively simple user functionality. In many cases it is difficult to identify the competitive advantage that ‘being semantic’ affords these applications, compared to systems built using conventional technologies. Of course, one could argue that this is not necessarily a problem: the success of an area is measured in terms of its academic vitality and its impact on commerce and society. However, I would argue that there is actually a problem here and in my talk I will analyse these issues by examining how the notion of semantics is used in our community, highlighting the productive and unproductive uses of the term, and in particular describing the different ways in which semantics can be effectively exploited to provide added value to applications. The key message is that while there are many ways to exploit semantics to develop better functionalities, as a community we need to develop a better understanding (both fundamentally and pragmatically) of the value proposition afforded by the use of semantics. Without such understanding there is a risk that we will fail to take full advantage of the technologies that we are developing and the opportunities they create for us.".
1 description "The traditional world of relational databases and enterprise data warehouses is being challenged by growth in data volumes, the rise of unstructured and semi-structured data, and the desire to extract more valuable business insights in order to remain competitive: we are entering the world of 'big data.' Views differ as to what constitutes 'big data' but a pragmatic definition is 'when the size of the data itself becomes part of the IT challenge.' Scale-out, commodity hardware-based solutions based on the map-reduce programming model for parallel processing on large hardware are emerging to address these Big Data requirements that have challenged traditional technologies. Simultaneously, interest is growing in Linked Data and Open Data and governments and other organisations around the world are publishing data on the web, offering public access to huge data volumes in an interoperable and extensible way using semantic technology open standards. The question naturally arises as to how these two emerging initiatives relate and this is the subject of the panel. Among the issues for discussion include: Linked Data and Big Data - how do they fit? Is reasoning over massive volumes of heterogeneous data feasible or desirable? Is consistency over massive volumes of heterogeneous data feasible or desirable? What representations are suitable for big data management? How can semantic technology be used in real-time environments with large volume data feeds? How big is big to qualify as Big Data and do traditional data mining techniques remain appropriate? What value can semantic technology bring to the concerns of Big Data? Is a new Theory of Data required and how can semantic technology contribute? We have assembled a panel from a variety of backgrounds with wide-ranging expertise for what should be a lively and informative debate!".
2015 description "The 12th Extented Semantic Web Conference".
1 description "".
2 description "Facebook has undergone tremendous growth in the last five years. Here we will start by looking at some basic statistics and trends that have accompanied this growth. We'll then dive into two different topics. First, we will look at a general trend to make data more structured at Facebook. Having more structured data makes it easier to manage, understand, and leverage it. I will briefly discuss the tools (Hive) that have been built to enable the massive-scale data analysis that goes on at Facebook on a daily basis. In the second part of the talk, I will dive into the details of one of the systems that has contributed to the growth of Facebook: People You May Know. This system generates a significant number of the friend connections on Facebook, and by using increasingly sophisticated machine learning techniques, we have been able to make large improvements to the ranking used by the system since its original launch.".
3 description "Often times, businesses balance multiple goals when designing products. In the process of balancing these goals, we sometimes loose sight of our customer, and sacrifice creativity. In this talk Prasad Kantamneni will share his experiences and lessons learned in the course of delivering a great user experience to billions of users a month. He will share case studies and processes for using diverse sets of data to make quick decisions without loosing sight of the customer, compromising on creativity, or loosing revenue. He will also share ways to quantify the value of user experience after a product is launched..".
4 description "Do you like content farms? You are helping them succeed. Every improvement in open structured data, machine learning and NLP gives rouge web players an ammo in the battle against search engines and users. On the other hand many owners of the curated and high quality data aren't (yet) reaping benefits from those technologies. At time of this writing Demand Media has the same market cap as New York Times. So let's look at the good, the bad and the ugly on the web. Who are real beneficiaries of semantic web and related tech? Where are they hiding?".
5 description "The information we experience online comes to us continuously over time, assembled from many small pieces, and conveyed through our social networks. This merging of information, network structure, and flow over time requires new ways of reasoning about the large-scale behavior of information networks. I will discuss a set of approaches for tracking information as it travels and mutates in online networks. We show how to capture and model temporal patterns in the news over a daily time-scale -- in particular, the succession of story lines that evolve and compete for attention. I will also discuss models to quantify the influence of individual media sites on the popularity of news stories and algorithms for inferring latent information diffusion networks.".
6 description "An explosion of digital information about us exists and persists in the databases of the businesses, governments and networks we engage with daily. Most all of it does not identify us personally. Existing legal regimes approach "privacy" by regulating how specific bits and bytes of Personally-Identifiable Information (PII), such as names, addresses, government-issued IDs, email addresses, etc., can and should be used, stored and shared. However, advancements in knowledge discovery and data-mining (KDD) technologies and the advent of the semantic web mean that PII is no longer needed to know with sufficient certainty an individual's likes, dislikes, socio-economic status, residence, politics, religion, addictions, etc. As we use our mobile devices, surf the web, send messages, shop for necessities like food, clothing and medicine, consume media, or simply walk on the streets of any large city in the world (and many small towns as well), we open ourselves up to having our identities "pirated" for both wanted and unwanted purposes. What can the law do about this fast-arriving future when we can no longer reasonably expect our privacy to be protected or protectable?".
1 description "The Semantic Web changes the way we deal with data, because assumptions about the nature of the data that we deal with differ substantially from the ones in established database approaches. Semantic Web data is (i) provided by different people in an ad-hoc manner, (ii) distributed, (iii) semi-structured, (iv) (more or less) typed, (v) supposed to be used serendipitously. In fact, these are highly relevant assumptions and challenges, because they are frequently encountered in all kind of data-centric challenges – also in cases where Semantic Web standards are not in use. However, they are only partially accounted for in existing programming approaches for Semantic Web data including (i) semantic search, (ii) graph programming, and (iii) traditional database programming approaches. The main hypothesis of this talk is that we have not yet developed the right kind of programming paradigms to deal with the proper nature of Semantic Web data, because none of the mentioned approaches fully considers its characteristics. Thus, I want to outline empirical investigations of Semantic Web data and recent developments towards Semantic Web programming that target the reduction of the impedance mismatch between data engineering and programming approaches. ".
2 description "The lecture is divided into four parts. In the first part, I offer a brief and simple introduction to four well-known senses in which different scientific fields speak of complexity, namely state complexity, Kolmogorov complexity, computational complexity, and programming complexity. I then suggest an intuitive way in which they can all be linked in a conceptual, unified view. Against this background, in the second part, I outline a new concept of complexity, which I shall call coordination complexity. This completes the unified view. I then argue, in the third part, that the semantic web helps us dealing with problems with increasingly high degree of coordination complexity, which require the mobilisation of whole systems to be tackled. In the last and concluding part, I highlight one of the consequences of the resolution of problems with high degree of coordination complexity: the predictability and manipulability of autonomous choices.".
0546e34e-c135-3c7a-97ad-729e736e64da_1 description "Knowledge Discovery and Data Mining Meets Linked Open Data. The workshop addresses researchers and practitioners from the fields of knowledge discovery in databases and data mining, as well as researchers from the Semantic Web community applying such techniques to Linked Data. The goal of the workshop is to provide a platform for knowledge exchange between the different research communities, and to foster future collaborations. We expect at least 30 participants. Authors of contributed papers are especially encouraged to publish their data sets and/or the implementation of their algorithms, and to discuss these implementations and data sets with other attendees. The goal is to establish a common benchmark that can be used for competitive evaluations of algorithms and tools.".
208325b1-13bc-3f61-9dc0-d31a056f224a_11 description "Services and Applications over Linked APIs and Data. The World Wide Web has undergone significant changes, developing from a collection of a few interlinked static pages to a global ubiquitous platform for sharing, searching and browsing dynamic and customisable content, in a variety of different media formats. This transformation was triggered by the ever growing number of users and websites and continues to be supported by current developments such as the increased use and popularity of Linked Data and Web APIs. Unfortunately, despite some initial efforts and progress towards integrated use, these two technologies remain mostly disjunct in terms of developing solutions and applications. To this purpose, SALAD aims to explore the possibilities of facilitating a better fusion of Web APIs and Linked Data, thus enabling the harvesting and provisioning of data through applications and services on the Web. In particular, we focus on investigating how both static and dynamic resources (for example, sensor data or streams), exposed via interfaces on the Web, can be used together with semantic data, as a means for enabling a shared use and providing a basis for developing rich applications. With this workshop, we aim to discover new ways to embrace the opportunities that Web APIs offer in terms of data consumption, processing and provisioning but also to investigate the possibilities of integrating them more closely with Linked Data. We want to challenge researchers towards developing integrated description and implementation approaches through both paper submissions and interactive on-site discussion and dialog. In particular, we are looking for description approaches, implementation solutions, use cases and applications that support a more automated and unified Web API use.".
221d16a2-8468-37e4-95e1-fe8d5f7d4d48_14 description "Dataset PROFIling and fEderated Search for Linked Data. The PROFILES’15 workshop is a continuation of the workshop series successfully started as PROFILES’14 @ ESWC 2014. These workshops aims to gather innovative query and search approaches for large-scale, distributed and heterogeneous linked datasets inline with dedicated approaches to analyse, describe and discover endpoints, as an inherent task of query distribution and dataset recommendation. The PROFILES’15 workshop aims to become a highly interactive research forum for researchers. PROFILES’15 will bring together researchers and practitioners in the fields of Semantic Web and Linked Data, Databases, Semantic Search, Text Mining, NLP as well as Information Retrieval. PROFILES’15 will gather novel works from the fields of semantic query interpretation and federated search for Linked Data, dataset selection and discovery as well as automated profiling of datasets using scalable data assessment and profiling techniques. PROFILES’15 will equally consider both novel scientific methods and techniques for querying, assessment, profiling, discovery of distributed datasets as well as the application perspective, such as the innovative use of tools and methods for providing structured knowledge about distributed datasets, their evolution and fundamentally, means to search and query the Web of Data. We will seek application-oriented, as well as more theoretical papers and position papers.".
24c79746-3201-3eea-973e-2496f78e87fc_13 description "Semantic Web for Scientific Heritage. The purpose of the workshop is to provide a forum for discussion about the methodological approaches to the specificity of annotating “scientific” texts (in the wide sense of the term, including disciplines such as history, architecture, or rhetoric), and to support a collaborative reflection, on possible guidelines or specific models for building historical ontologies. A key goal of the workshop is to emphasize, through precise projects and up-to-date investigation in digital humanities, the benefit of a multidisciplinary research to create and operate on relevantly structured data. One of the main interests of the very topic of pre-modern historical data management lies in historical semantics, and the opportunity to jointly consider how to identify and express lexical, theoretical and material evolutions. Dealing with historical material, a major problem is indeed to handle the discrepancy of the historical terminology compared to the modern one, and, in the case of massive, diachronic data, to take into account the contextual and theoretical meaning of words and sentences and their semantics. Papers on ancient and medieval biological science and zoology are particularly welcome.".
33727961-153a-364a-9ba4-3331fc0c939f_8 description "Detection, Representation, and Exploitation of Events in the Semantic Web. n recent years, researchers in several communities involved in aspects of information science have begun to realise the potential benefits of assigning an important role to events in the representation and organisation of knowledge and media-benefits which can be compared to those of representing entities such as persons or locations instead of just dealing with more superficial objects such as proper names and geographical coordinates. While a good deal of relevant research for example, on the modeling of events has been done in the semantic web community, much complementary research has been done in other, partially overlapping communities, such as those involved in multimedia processing, information extraction, sensor processing and information retrieval research. However, these areas often deal with events with a different perspective. The attendance at previous DERIVE workshops proved that there is a great interest from many different communities in the role of events. The results presented in there also indicated that dealing with events is still an emerging topic. The goal of this workshop is to advance research on the role of events within the information extraction and semantic web communities, both building on existing work and integrating results and methods from other areas, while focusing on issues of special importance for the semantic web.".
5a956c13-3b86-3584-b3ed-1993c76319fd_12 description "Linked Data Quality. Since the start of the Linked Open Data (LOD) Cloud, we have seen an unprecedented volume of structured data published on the web, in most cases as RDF and Linked (Open) Data. The integration across this LOD Cloud, however, is hampered by the ‘publish first, refine later’ philosophy. This is due to various quality problems existing in the published data such as incompleteness, inconsistency, incomprehensibility, etc. These problems affect every application domain, be it scientific (e.g., life science, environment), governmental, or industrial applications. We see linked datasets originating from crowdsourced content like Wikipedia and OpenStreetMap such as DBpedia and LinkedGeoData and also from highly curated sources e.g. from the library domain. Quality is defined as “fitness for use”, thus DBpedia currently can be appropriate for a simple end-user application but could never be used in the medical domain for treatment decisions. However, quality is a key to the success of the data web and a major barrier for further industry adoption. Despite the quality in Linked Data being an essential concept, few efforts are currently available to standardize how data quality tracking and assurance should be implemented. Particularly in Linked Data, ensuring data quality is a challenge as it involves a set of autonomously evolving data sources. Additionally, detecting the quality of datasets available and making the information explicit is yet another challenge. This includes the (semi-)automatic identification of problems. Moreover, none of the current approaches uses the assessment to ultimately improve the quality of the underlying dataset. The goal of the Workshop on Linked Data Quality is to raise the awareness of quality issues in Linked Data and to promote approaches to assess, monitor, maintain and improve Linked Data quality.".
5ac66219-344e-36b5-b1f8-c2d450f89492_5 description "Managing the Evolution and Preservation of the Data Web. There is a vast and rapidly increasing quantity of scientific, corporate, government and crowd-sourced data published on the emerging Data Web. Open Data are expected to play a catalyst role in the way structured information is exploited in the large scale. This offers a great potential for building innovative products and services that create new value from already collected data. It is expected to foster active citizenship (e.g., around the topics of journalism, greenhouse gas emissions, food supply-chains, smart mobility, etc.) and world-wide research according to the fourth paradigm of science. The most noteworthy advantage of the Data Web is that, rather than documents, facts are recorded, which become the basis for discovering new knowledge that is not contained in any individual source, and solving problems that were not originally anticipated. In particular, Open Data published according to the Linked Data Paradigm are essentially transforming the Web into a vibrant information ecosystem. Preserving linked open datasets poses a number of challenges, mainly related to the nature of the LOD principles and the RDF data model. In LOD, datasets representing real-world entities are structured. Thus, in LOD, when managing and representing facts we need to take into consideration possible constraints that may hold. Since resources might be interlinked, effective citation measures are required to be in place to enable, for example, the ranking of datasets according to their measured quality. Another challenge is to determine the consequences that changes to one LOD dataset may have to other datasets linked to it. The distributed nature of LOD datasets furthermore makes archiving a headache. The first DIACHRON workshop aims at addressing the above mentioned challenges and issues by providing a forum for researchers and practitioners who apply linked data technologies to discuss, exchange and disseminate their work. More broadly, this forum will enable communities interested in data, knowledge and ontology dynamics to network and cross-fertilise. The workshop will also serve as a platform for disseminating results of the DIACHRON EU FP7 project (managing the evolution and preservation of the Data Web).".
5f9293a2-aadc-3309-b0f9-4be1f6f37f58_17 description "Microcontrollers Hackfest 2015".
62e541a0-15b3-32e1-9948-787c85cc195f_7 description "Web and philosophy. The relationship between the Web and philosophy is now at a crucial turning point. While a group of philosophers and philosophically-influenced scholars are increasingly interested in the Web, we are facing unprecedented challenges around its future that requires concerted efforts between researcher and disciplines to be properly addressed. With both Internet governance and the very architecture of the Web undergoing rapid change, now is the time for a philosophy of the Web to help to fulfill the Web’s full potential, expanding upon its fundamental principles in new terrains ranging from mass surveillance to the impact of the Internet of things. Even swifter is the Web-driven transformation of many previously unquestioned philosophical concepts of privacy, authority, meaning, identity, belief, intelligence, cognition, and even embodiment in surprising ways. In response, we hope to provoke the properly philosophical question of whether or not philosophy that can weave these changes to technology and society into a coherent whole that can adapt the principles of the Web to the age of surveillance.".
744ed025-65ba-3f07-856b-500d35ced84d_3 description "RDF Stream Processing. Data streams are an increasingly prevalent source of information in a wide range of domains and applications, e.g. environmental monitoring, disaster response, or smart cities. The RDF model is based on a traditional persisted-data paradigm, where the focus is on maintaining a bounded set of data items in a knowledge base. This paradigm does not fit the case of data streams, where data items flow continuously over time, forming unbounded sequences of data. In this context, the W3C RDF Stream Processing (RSP) Community Group has taken the task to explore the existing technical and theoretical proposals that incorporate streams to the RDF model, and to its query language, SPARQL. More concretely, one of the main goals of the RSP Group is to define a common, but extensible core model for RDF stream processing. This core model can serve as a starting point for RSP engines to be able to talk to each other and interoperate. The goal of this workshop is to bring together interested members of the community to: (i) Demonstrate their latest advances in stream processing systems for RDF. (ii) Foster discussion for agreeing on a core model and query language for RDF streams. (iii) Involve and attract people from related research areas to actively participate in the RSP Community Group.".
778024bf-c2e3-33a2-8bc4-12998e6332e1_16 description "Negative or Inconclusive rEsults in Semantic web. Every Semantic Web researcher has been there: you spend days of work, but the results just don’t give the answer you were hoping for. The work ends up, like so many, part of the File Drawer Effect: they never get reported because of negative or inconclusive outcome. This occurs as a result of a publication bias towards positive results in Semantic Web, as in other fields. However, negative or inconclusive results are fundamental to the research process and can be as valuable as positive results. This workshop provides a forum for such attempted approaches, methodologies, or implementations. Researchers are urged to report null, disappointing or inconclusive attempts in the Semantic Web and Linked Open Data research field. We specifically target sound approaches and, scientifically and technically relevant contributions, that produced negative or inconclusive experimental results.".
7bc025de-ba07-3d6d-bfb6-a58aebeafe37_9 description "Summarizing and Presenting Entities and Ontologies - Human Semantic Web Interaction. The Open Data and Semantic Web efforts have been promoting and facilitating the publication and integration of data from diverse sources, giving rise to a large and increasing volume of machine-readable data available on the Web. Even though such raw data and its ontological schema enable the interoperability among Web applications, problems arise when exposing them to human users, as to how to present such large-scale, structured data in a user-friendly manner. To meet the challenge, we invite research contributions on all aspects of ranking, summarization, visualization, and exploration of entities, ontologies, knowledge bases and Web Data, with a particular focus on their summarization and presentation. We also welcome submissions on novel applications of these techniques. The workshop is expected to be a forum that brings together researchers and practitioners from both academia and industry in the areas of Semantic Web, information retrieval, data engineering, and human-computer interaction, to discuss high-quality research and emerging applications, to exchange ideas and experience, and to identify new opportunities for collaboration.".
83ba215a-25c2-3f87-b2a3-fb94b0e025d2_15 description "Legal Domain And Semantic Web Applications. The two research areas of Legal Knowledge and Information Systems, and the Semantic Web are very much interconnected. The legal domain is an ideal field of study for Semantic Web researchers, as it uses and contributes to most of the topics that are relevant to the community. Given the complex interactions of legal actors, legal sources and legal processes, as well as the relevance and potential impact of decisions in the juridical and social processes of a country, it provides a challenging context and an important opportunity for groundbreaking research results. At the same time, Semantic Web formalisms and technologies provide a set of technical instruments which can be fruitfully adopted by legal experts to represent, interlink, and reason over legal knowledge and related aspects such as provenance, privacy, and trust. In particular, Semantic Web technology facilitates standards-based legal knowledge representation, which enables the possibility of legal information reuse over the Web. Ontologies, knowledge extraction and reasoning techniques have been studied by the Artificial Intelligence & Law community for years, but only few and sparse connections with the Semantic Web community have resulted from these interactions. The aim of this workshop is to study the challenges that the legal domain poses to Semantic Web research, and how Semantic Web technologies and formalisms can contribute to address these open issues. This way, we promote the use of legal knowledge for addressing Semantic Web research questions and, vice versa, to use Semantic Web technologies as tools for reasoning over legal knowledge.".
a306d364-bf1a-376d-a8cc-dba7171a152a_6 description "Using the Web in the Age of Data. The purpose of the USEWOD workshop series has been to create and maintain a forum for researchers to investigate the synergy between the Web of Data and Web usage mining. This required the analysis of semantic data usage. With the next edition we respond to the fact that publishing and consuming raw data on the Web is an established paradigm today and turn the USEWOD workshop into a forum to discuss more general questions about the usage of the Web. How will the analysis of Web usage benefit from the possibility to blend the classical log with the structure sourcing from Linked Data? Can the progress that has been made on (Read/Write) Linked Data change the way we interact with the Web and what does that mean for the usage analysis capabilities we have at hand today?".
c025f3f8-78c9-303e-8302-39be711a9505_2 description "Semantic Web Enterprise Adoption and Best Practice. The WaSABi workshop aims at helping to guide the conversation between the scientific research community, IT practitioners and industry. The workshop helps to establish best practices for the development, deployment and evaluation of Semantic Web based technologies. Both research and industry communities can benefit greatly from this discussion by sharing use cases, user stories, practical development issues, evalutaions and design patterns. The goal of this particular workshop is to analyse the emerging Semantic Technology market, identify and apply appropriate methodologies, highlight success stories and overall support the increase in industry adoption of Semantic Web technologies.".
d118366a-a31c-3749-8259-4ab73e9daa2c_10 description "Multilingual Semantic Web. The Multilingual Semantic Web workshop series is concerned with research questions on how current Semantic Web infrastructure can and should be extended to advance the Semantic Web and linked data use and development across language communities around the world. This raises several challenges such as ontology localisation, cross-lingual question answering, cross-lingual ontology and data matching, representation of lexical information on the Web of Data, etc. An infrastructure should be in place for defining ontologies and vocabularies in multiple languages with a transparent semantics across them. NLP and machine learning for linked data can benefit from exploiting multilingual language resources such as annotated corpora, WordNets, bilingual dictionaries, etc. if they are themselves formally represented and linked by following the linked data principles. We argue that a critical mass of language resources as linked data on the Web can lead to a new generation of linked data-aware NLP techniques and tools which, in turn, will serve as basis for richer multilingual multimedia Web content analysis. In addressing such research topics, the workshop aims at providing a forum for researchers at the intersection of NLP, multilingual information access, Linked Data and the Semantic Web to exchange ideas on realising the Multilingual Semantic Web.".
0a11b1ed-7f6c-364d-8043-112c8be6da32_5 description "Fajar J. Ekaputra".
279941e3-0a4e-39c5-bc81-e615d159a97a_3 description "Petar Ristoski".
27b2a7c3-731a-387a-bab7-f725225411d3_13 description "Katrin Krieger".
5376d982-0d43-3eeb-9a89-a34257569e4b_11 description "Giulio Petrucci".
703c14ee-d6c4-30f5-89a4-a6d220c8c3f6_6 description "Fattane Zarrinkalam".
74ac6b32-13a1-36a6-84a5-882192edbf26_9 description "Thu-Le Pham".
825a834d-5840-34f5-9988-adffd41f2146_12 description "Anca Dumitrache".
8937b15d-87d9-31c2-ae5f-ef00a1bcff51_4 description "Ignacio Traverso".
8b67165d-6815-3982-ba1f-d3fc31f58481_7 description "Tam‡s Matuszka".
a7014108-4ec8-388d-947c-5d68472a3296_1 description "The ESWC 2015 PhD Symposium is a chance for PhD students working in all areas of Semantic Web research to present their work meet with peers and experienced researchers obtain feedback and learn from each others experiences. It aims at helping future researchers in building up the skills and confidence required to conduct and promote their research as well as providing them with an opportunity to attend one of the most important research conferences on the Semantic Web.".
aeb67888-8801-3d10-b126-89be50b4a6f7_15 description "Patrick Philipp".
c9f94a00-8db1-3907-848a-50ce54719f68_14 description "Dena Tahvildari".
cc8b1fb7-ff35-3733-b855-2f8feaa6876a_10 description "Invited talk".
f36a4934-346c-3099-9722-cbfacf0d842d_8 description "Audun Vennesland".
ff330622-06a4-34e4-8ebf-9ef182edba9b_4 description "Developers Workshop. Like any technology, the Semantic Web crucially depends on its developers. Many of us have created SemWeb software, but only few have gotten the opportunity to talk about what is so special about the code they wrote. The ESWC2015 Developers Workshop therefore provides a forum for SemWeb and Linked Data developers. We unite developers on May 31st 2015 to discuss about topics we passionately care about: (i) How to develop applications on top of Linked Data? (ii) How can browser applications influence the Semantic Web? (iii) How to create libraries for technologies such as RDF (JSON-LD, Turtle …), SPARQL, PROV? (iv) What about mobile and native applications? (v) How to do semantic development for a specific domain? In other words, this workshop is about how you made things work. It is about implementations, methods, techniques, about how you solved practical problems for Linked Data.".
1 description "Addressing inherent uncertainty and exploiting structure are fundamental to turning data into knowledge. Statistical relational learning (SRL) builds on principles from probability theory and statistics to address uncertainty while incorporating tools from logic to represent structure. In this talk I will overview our recent work on probabilistic soft logic (PSL), an SRL framework for collective, probabilistic reasoning in relational domains. PSL is able to reason holistically about both entity attributes and relationships among the entities, along with ontological constraints. The underlying mathematical framework supports extremely efficient inference. Our recent results show that by building on state-of-the-art optimization methods in a distributed implementation, we can solve large-scale knowledge graph extraction problems with millions of random variables orders of magnitude faster than existing approaches.".
2 description "Much has been made of "big data", our ability to gain novel insights from a comprehensive set of data points, but a lot of it is hype, and marketing-speak to sell more tools and consulting. In this talk, I will explain what Big Data really is, why it isn¹t just a marketing fad or the tool du jour, but a new way of making sense of the world around us, and consequently why Big Data matters a great deal, in particular also in the context of semantic technologies. But I will also mention why we need to be cautious and well aware of Big Data limitations when utilizing it.".
3 description "Crowdsourcing is usually seen primarily as an inexpensive and quick way of creating large resources for a variety of Artificial Intelligence tasks. However, our work with Phrase Detectives, a game-with-a-purpose designed to collect data about anaphora, suggests that collecting large numbers of judgments about very large amounts of data also tells us a lot about the extent to which human subjects agree or disagree about the interpretation of such data. In the talk I will introduce Phrase Detectives and discuss our results and their implications.".
00eac341-e0cc-3f63-8f51-e65ac99204ad_11 description "Chair: Antoine Zimmermann".
1696b349-04b0-3fdf-bd02-176e1b9add31_13 description "Chair: Stefan Dietze".
2bd3ff96-057c-3522-98cc-e95d186c4986_10 description "Chair: Heiko Paulheim".
2dab07ca-5cba-3a0e-96d4-3499b6a1e670_9 description "Chair: Silvio Peroni".
6d60e463-65a2-3ff4-a774-0d76f024f9a9_4 description "Chair: Claudia d'Amato".
781d9ed3-0602-35fa-a702-f6a5862a535e_1 description "Chair: Leon Derczynski".
7b54aa73-cb61-3c2c-8c4e-524738ded18f_6 description "Chair: Alasdair Gray".
812ed369-2c5a-304f-b3aa-adf9a1e2ba5e_8 description "Chair: Olaf Hartig".
951089aa-f2cd-3ab5-a3ad-3c5beb23256a_14 description "Chair: Achim Rettinger".
9cb04f75-2cdd-360b-9012-023bda1da901_2 description "Chair: Carlos Pedrinaci".
b1957190-a9c5-3612-95ba-56be15a5a6c7_12 description "Chair: Alexandre Monin".
d32bbd1a-6ed0-3650-a9ab-0368376a3d0d_5 description "Chair: Olivier Curé".
ec221601-6bf2-3728-8b8e-9525268ea9ee_7 description "Chair: Gianluca Demartini".
fca44684-d0b3-3b17-9661-0b4734e3c4a6_3 description "Chair: Raphaël Troncy".
0292fa79-1c57-3ace-ba9b-edded8b33ff9_20 description "(134) Oluwaseyi Feyisetan, Markus Luczak-Roesch, Elena Simperl and Ramine Tinati.".
05c26911-17cd-39d0-9d70-54ca98438c13_29 description "(116) Ramnandan Krishnamurthy, Amol Mittal, Craig Knoblock and Pedro Szekely.".
060fbd7f-004a-326c-8813-6aef63379a2e_8 description "(176) Jacobo Rouces, Gerard de Melo and Katja Hose.".
0c5ec9c2-3fbf-3162-91a0-bd3d2306c172_32 description "(141) Valentina Ivanova, Patrick Lambrix and Johan Åberg.".
0f850b3c-74da-3bbf-a0a3-c2b85931d6a6_27 description "(146) Armando Stellato, Sachit Rajbhandari, Andrea Turbati, Manuel Fiorelli, Caterina Caracciolo, Johannes Keizer and Maria Teresa Pazienza.".
0faa5604-4339-3745-aed1-163da6b14659_12 description "(171) Georgia Troullinou, Haridimos Kondylakis, Evangelia Daskalaki and Dimitris Plexousakis.".
192adaa8-ce9b-3eeb-9a67-972f08fbd318_9 description "(191) Genevieve Gorrell, Johann Petrak and Kalina Bontcheva.".
1b65929a-27d5-3846-865f-7d5cf526328d_34 description "(47) Panos Alexopoulos, Ronald Denaux and Jose Manuel Gomez-Perez.".
1c87847c-5142-3766-9f44-c0dc2c784b77_23 description "(86) Kjetil Kjernsmo.".
3c6288ef-b802-381f-834c-30a2afe93310_39 description "(125) Jeremy Debattista, Santiago Londoño, Christoph Lange and Sören Auer.".
46012a1c-31ba-347f-bc80-72525b7da38e_15 description "(54) Joachim Van Herwegen, Ruben Verborgh, Erik Mannens and Rik Van de Walle.".
472b75ad-bd7f-399d-9483-a806235f960a_11 description "(132) Olaf Hartig and Giuseppe Pirrò.".
49581109-0c87-3c38-ba91-0fdb62c184e9_36 description "(111) Maximilan Osenberg, Melanie Langermeier and Bernhard Bauer.".
5090ad13-9c03-307e-b850-3311a152e025_17 description "(91) Harry Halpin and Francesca Bria.".
59095426-eef4-37a8-9c3e-572ada39e4c9_10 description "(35) Martin Peters, Sabine Sachweh and Albert Zündorf.".
6131e4b5-a79c-37bb-a777-b71bf2ad4dc8_5 description "(63) Sebastian Käbisch, Daniel Peintner and Darko Anicic.".
6167cc28-7c81-3eba-9ba1-a2c5dac450c6_28 description "(90) Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo and Jens Lehmann.".
716f0450-b20a-33dc-a204-9f899ada7f35_26 description "(72) Christoph Pinkel, Carsten Binnig, Ernesto Jiménez-Ruiz, Wolfgang May, Dominique Ritze, Martin G. Skjaeveland and Alessandro Solimando.".
737db584-32e0-3f77-b6b0-9976a878737d_30 description "(184) Giuseppe Rizzo, Claudia D'Amato, Nicola Fanizzi and Floriana Esposito.".
73944226-6ff0-3e58-9931-73b3cb7078cd_19 description "(119) Pierre-Edouard Portier, Mazen Alsarem, Sylvie Calabretto and Harald Kosch.".
7459b63f-affe-3c03-8f11-6c3ad7ebeadb_41 description "(56) Dmitry Muromtsev, Peter Haase, Dmitry Pavlov, Eugene Cherny, Alexey Andreev and Anna Spiridonova.".
77fcd918-ab42-35d4-a02c-8917bb6ac5a6_38 description "(26) Ruslan Mavlyutov, Marcin Wylot and Philippe Cudré-Mauroux.".
7df92990-5b75-3915-993a-ad1a7a3381e4_4 description "(70) Laurens Rietveld, Ruben Verborgh, Wouter Beek, Miel Vander Sande and Stefan Schlobach.".
7eca0714-4c63-30ac-8303-d8e3b8ca4108_22 description "(32) José M. Giménez-Garcia, Javier D. Fernández and Miguel A. Martinez-Prieto.".
81f4c99a-97cb-36f5-b1bf-a85f05c10e73_24 description "(142) Hamid R. Bazoobandi, Steven De Rooij, Jacopo Urbani, Annette Ten Teije, Frank Van Harmelen and Henri Bal.".
84049596-281c-3eb3-bca1-627482716d5a_6 description "(83) Xiaoqi Cao, Patrick Kapahnke and Matthias Klusch.".
84436fe6-49cc-3961-89c7-3c9a7348aea3_40 description "(19) Dhavalkumar Thakker, Vania Dimitrova, Anthony Cohn and Joaquin Valdes.".
8cdcc665-16fa-3471-95d2-10b78616a212_25 description "(13) Gerhard Wohlgenannt.".