Matches in ScholarlyData for { ?s <https://w3id.org/scholarlydata/ontology/conference-ontology.owl#description> ?o. }
- 99c46b23-f10f-341c-80d0-756865d68aa9_1 description "(20) Achim Rettinger, Artem Schumilin, Steffen Thoma and Basil Ell.".
- 9bbb5211-9d3e-3062-8812-7a11154eff50_18 description "(164) Yolanda Gil, Felix Michel, Varun Ratnakar, Paul Hanson, Hilary Dugan, Jordan Read, Christopher Duffy and Matheus Hauder.".
- a3e9a133-db8f-3632-b965-1847d3cc1a93_37 description "(11) Robert Meusel and Heiko Paulheim.".
- a9498510-6af6-3eca-abeb-6f17daebf72a_13 description "(28) Dilshod Ibragimov, Katja Hose, Torben Bach Pedersen and Esteban Zimanyi.".
- b0e2d569-7204-399d-a410-20bf87951acc_16 description "(68) Heiner Oberkampf, Turan Gojayev, Sonja Zillner, Dietlind Zühlke, Sören Auer and Matthias Hammon.".
- bbb6611e-fd45-3faf-84c4-d51ece2f4067_2 description "(144) Ricardo Usbeck, Axel-Cyrille Ngonga Ngomo, Lorenz Bühmann and Christina Unger.".
- c4b97902-2f42-3d94-a8ef-7a538f2e1414_31 description "(41) Mayank Kejriwal and Daniel P. Miranker.".
- cfdd6ddc-c7ae-3586-bcf6-91d04fa8e697_35 description "(105) Mauro Dragoni, Chiara Ghidini, Paolo Busetta, Mauro Fruet and Matteo Pedrotti.".
- d1b208d4-693f-3143-864f-f830889b8f80_42 description "(75) Chun Lu, Milan Stankovic and Philippe Laublet.".
- d26706fb-8c0a-3baa-aa7b-8dd02eb294bf_3 description "(151) Manuel Fiorelli, Armando Stellato, John P. Mccrae, Philipp Cimiano and Maria Teresa Pazienza.".
- e3eaf1b3-2193-35c4-bebe-cdf9c32dacb9_14 description "(156) Géraud Fokou, Stephane Jean and Allel Hadjali.".
- f06efa9e-c2d7-3ca2-b89f-39077f83fa79_21 description "(89) Revathy Krishnamurthy, Pavan Kapanipathi, Amit Sheth and Krishnaprasad Thirunarayan.".
- fe27f124-cd02-3be3-9bd1-ba6bd80f7bcf_7 description "(118) Fadi Maali, Stéphane Campinas and Stefan Decker.".
- 01293a05-d307-3ed8-904b-bbc7611e4282_5 description "Building interoperable read-write Linked Data applications with the W3C Linked Data Platform and the LDP4j framework. The W3C Linked Data Platform (LDP) is an initiative to produce a standard protocol and a set of best practices for the development of read-write Linked Data applications. The LDP protocol provides clarifications on the use of the HTTP protocol in Linked Data applications, proposes several extensions in the context of Linked Data applications, and enforces further restrictions. As consequence, the LDP specification enables interoperable read-write Linked data applications based on HTTP access to web resources that describe their state using the RDF data model. The standardization of this protocol represents a step forward in the Linked Data community as it lays the ground for the development of interoperable read-write Linked Data applications. This tutorial provides an overview to the Linked Data Platform including resources, different types of containers, and other features such as paging, patching, etc., and discusses the different design considerations one should take into account when building read-write Linked Data applications. In addition to the theoretical background on the LDP specification and application design, the tutorial consists of a hands on session on how to build a read-write Linked Data application from scratch using LDP4j, an open source Java framework for developing LDP-enabled applications.".
- 05567995-f497-3506-b28e-f7719d57e069_6 description "Publishing and Interlinking Linked Geospatial Data. In this tutorial we present the life cycle of linked geospatial data and we focus on two important steps: the publication of geospatial data as RDF graphs and the discovery of spatial and temporal links between linked geospatial data. Given the proliferation of geospatial information on the Web many kinds of geospatial data are now becoming available as linked datasets (e.g., Google and Bing maps, user-generated geospatial content etc.). The topic of the tutorial is related to all core research areas of the Semantic Web (e.g., semantic information extraction, transformation of data into RDF graphs, interlinking linked data etc.) since there is often a need to re-consider existing core techniques when we deal with geospatial information. Thus, it is timely to train Semantic Web researchers, especially the ones that are in the early stages of their careers, on the state of the art of this area and invite them to contribute to it. In this tutorial we give a comprehensive background on data models, query languages, implemented systems for linked geospatial data, we discuss recent approaches on publishing geospatial data as RDF graphs and we discuss techniques for interlinking linked data by taking into account their spatial and temporal extent. The tutorial is complemented with a hands on session that will familiarize the audience with the state-of-the-art tools in publishing and interlinking geospatial information.".
- 3da7af7d-465c-35ce-af22-0e393f639ceb_9 description "The Web of Data for E-Commerce for Researchers and Practitioners. In this tutorial, we will (1) give a comprehensive overview and hands-on training on the conceptual structures of schema.org for e-commerce, including patterns for ownership and demand, (2) present the full tool chain for producing and consuming respective data, (3) explain the long-term vision of linked open commerce, (4) describe the main challenges for future research in the field, and (5) discuss advanced topics, like access control, identity and authentication (e.g. with WebID), micropayment services (like Payswarm), and data management issues from the publisher and consumer perspective. We will also cover research opportunities resulting from the growing adoption and the respective amount of data in RDFa and Microdata syntaxes.".
- 7739944a-fce4-3ab1-a95d-7a7ef515cd9d_2 description "How to develop mobile Linked Data apps in 10 mins! With the rapid advancement of mobile technologies, people are using their mobile devices as primary computing platforms and are generating and consuming vast amounts of data on them. However, the lack of Linked Data tools for these devices has left much of this data unstructured and unfit for reuse or integration with other datasets. In this paper, we present Punya, an open source platform that enables easy and rapid development of mobile Linked Data apps. The platform also enables app users to contribute linked data, as well as consume existing linked data sets, paving the path to a burgeoning linked data ecosystem.".
- 8b82014d-0dac-34e0-bc26-e04055d187de_8 description "Semantics and Data Analytics for Smart City Applications (SDA-SmartCity). We are witnessing an era where advancements in networking, software and hardware technologies are enabling billions of smart devices and objects to be connected to the Internet. While the new technologies pave the way towards a new generation of smart city applications and services, the variation in modality, quality, formats and representations of smart city data are amongst the crucial issues that hinder effective use of the real world data collected by the sensory devices. Typically in a smart city framework, higherlevel abstractions need to be created from real world data streams using data analytic methods for event processing and knowledge extraction purposes in a scalable way. Additionally, Semantic Web technologies and Linked Data play a key role in providing interoperability, association analysis, information and knowledge extractions, and reasoning about trust, privacy, provenance, and security in smart city frameworks. This tutorial will explore different processing steps for smart city data from data acquisition and semantic annotation to event processing, information extraction and pattern analysis in different smart city scenarios and using available cutting edge tools.".
- b78cc1c1-bc82-3f61-8a66-f92d27568044_3 description "Tutorial on Enterprise Linked Data Strategies & the Commercialization of Interlinked Data (ELDSCID 2015). The adoption of Linked Data technologies in enterprises in order to improve methods of Data Integration and to introduce new approaches for a more efficient Information Management is becoming increasingly popular. This trend is complemented by activities aimed at commercializing Interlinked (Open) Data, mainly undertaken by publishers and media companies. While professional information providers work on Linked Data infrastructures to be able to deliver better linkable information assets on a more granular level, enterprises are in the process of redesigning information strategies and content workflows. Ultimate goals are heading towards a more efficient reuse and enrichment of knowledge assets and the personalisation of information services. In this tutorial, we will give several demos and concrete examples of how Linked Data can be used by enterprises in various industries. We will classify those to give a coherent picture over ‘typical application scenarios’ and corresponding benefits arguments. From an information provider’s perspective, we will discuss how Linked Data has become a game changer for the whole content industry. In addition, we will shed light on new business models for Linked Data at the intersection of Linked Data assets, stakeholders and revenue models by introducing the Linked Data Business Cube.".
- c14cb27e-230f-323c-ba97-c1faea815d05_1 description "Computational Social Science For the Semantic Web. This tutorial covers the basics of computational social sciences from a computer science perspective, and its application to Semantic Web research. The tutors will teach the basics of applying theory, methods and techniques across various scenarios. We will cover the application of theory as a means to interrogate the start-to-end process of experimentation, and teach how to work in the qualitative and quantitative paradigm, and how to add real-world meaning to experiments.".
- dec83ef3-e437-3aa9-b9d8-07e12f896283_7 description "Visual Analytics with Linked Open Data and Social Media (VisLOD). The increasing availability of essential information as Linked Open Data has empowered ordinary citizens and organisations with means to increase their understanding of their political, social, economic and cultural environment. Social Media, on the other hand, offer means to share experiences, connect with friends/relatives, keep updated with situations and understand the public perception of events, places or individuals. With the availability of large datasets, a considerable challenge is how to quickly and efficiently consume such datasets. Visual Analytics solutions offer a promising direction of research for consuming large semantic datasets and quickly identify hidden trends, patterns and anomalies, obtain overviews of large data spaces and promptly reach data points of interest. The goal of the tutorial is to bring together researchers and practitioners interested in visual and interactive techniques for exploring Social Media, Linked Open Data and Web Content. The hands-on tutorial will cover technical aspects from two perspectives: data collection and data analysis using Visualisation techniques. Data collection hand-on will include gathering (i) Social Media content, (ii) Linked Data and (iii) performing Information Extraction on Web content. The data analysis hands-on will introduce various open source visualisation tools and will cover design and implementation of web-based visual analytic solutions.".
- f14ea072-a312-39f4-84da-4b5e1b289a5d_4 description "Practical Annotation and Processing of Social Media with GATE. Social media is fast becoming a crucial part of our everyday lives, not only as a fun and practical way to share our interests and activities with geographically distributed networks of friends, but as an important part of our business lives also. Processing social media is particularly problematic for automated tools, because it is a strong departure from the tradition of newswire that many tools were developed with and evaluated against, and also due to the terse and low-context language it typically comprises. This tutorial will address these issues in the context of the semantic web by introducing some of the problems faced by using NLP tools on social media, and solutions to these problems, including those specifically implemented in GATE and recently made publicly available. It will demonstrate techniques for extracting the relevant information from unstructured text in social media, so that participants will be equipped with the necessary building blocks of knowledge to build their own tools and tackle complex issues. Since all of the NLP tools to be presented are open source, the tutorial will provide the attendees with skills which are easy to apply and do not require special software or licenses.".
- 1 description "Opening Ceremony".
- 10 description "Coffee Break".
- 1001 description "Coffee Break".
- 1002 description "Lunch".
- 1003 description "Coffee Break".
- 1004 description "Coffee Break".
- 1005 description "Lunch".
- 1006 description "Coffee Break".
- 1007 description "Tutorial: Relation Extraction".
- 1008 description "WS: EMSASW".
- 1009 description "WS: SALAD".
- 1010 description "WS: SEMPER".
- 1011 description "WS: WhiSE".
- 1012 description "Tutorial: DOREMUS".
- 1013 description "Tutorial: Data Quality and Scalability".
- 1014 description "Tutorial: RDF Benchmarks".
- 1015 description "WS: CoDeS".
- 1016 description "WS: LDQ".
- 1017 description "WS: MEPDaW".
- 1018 description "WS: SumPre".
- 1019 description "Tutorial&WS: LDF".
- 1020 description "WS: SW4SH".
- 1021 description "Tutorial: RDF validation".
- 1022 description "WS: LiME".
- 1023 description "Tutorial: User Model Enrichment".
- 1024 description "WS: RichMedSem".
- 1025 description "Tutorial: LOD-lab".
- 1026 description "WS: PROFILES".
- 1027 description "Tutorial: Instance Matching Benchmarks".
- 11 description "Vocabularies, Schemas, Ontologies".
- 166 description "An Ontology-driven Approach for Semantic Annotation of Documents with Specific Concepts".
- 184 description "Qanary -- An Extensible Vocabulary for Open Question Answering Systems".
- 227 description "Test-Driven Development of Ontologies".
- 12 description "Machine Learning".
- 139 description "Enriching Product Ads with Metadata from HTML Annotations".
- 222 description "Comparing Vocabulary Term Recommendations using Association Rules and Learning To Rank: A User Study".
- 5 description "Efficient Approximation of Ontology Reasoning by Machine Learning".
- 13 description "In-Use & Industrial".
- 234 description "Predicting Drug-Drug Interactions through Large-Scale Similarity-Based Link Prediction".
- 49 description "RMLEditor: A Graph-based Mapping Editor for Linked Data Mappings".
- 50 description "Enriching a Small Artwork Collection through Semantic Linking".
- 14 description "Semantic Data Management, Big data, Scalability".
- 188 description "cyclades: A Decentralized Cache for Linked Data Fragments".
- 81 description "The Lazy Traveling Salesman -- Memory Management for Large-Scale Link Discovery".
- 89 description "RDF Query Relaxation Strategies Based on Failure Causes".
- 15 description "Semantic Data Management, Big data, Scalability".
- 168 description "Normalized Semantic Web Distance".
- 238 description "LOTUS: Adaptive Text Search for Big Linked Data".
- 241 description "Implicit Entity Linking in Tweets".
- 16 description "Linked Data".
- 148 description "From Queriability to Informativity, assessing "Quality in Use'' of DBpedia and YAGO".
- 17 description "Detecting Similar Linked Datasets Using Topic Modelling".
- 207 description "Gleaning Types for Literals in RDF Triples with Application to Entity Summarization".
- 17 description "ESWC Challenges 1".
- 18 description "ESWC Challenges 2".
- 19 description "ESWC Challenges 3".
- 2 description "Coffee Break".
- 20 description "MinuteMadness".
- 21 description "Welcome Reception".
- 22 description "Announcements".
- 23 description "Natural Language Processing and Information Retrieval".
- 113 description "Towards Monitoring of Novel Statements in the News".
- 177 description "Multi-layered Linked Open Data Enrichment for Information Retrieval".
- 191 description "Efficient Graph-based Document Similarity".
- 24 description "Mobile Web, Sensors and Semantic Streams".
- 251 description "Query Rewriting in RDF Stream Processing".
- 253 description "Heaven: a framework for systematic comparative research approach for RSP engines".
- 51 description "Full-text Support for Publish/Subscribe Ontology Systems".
- 25 description "In-Use & Industrial Track".
- 21 description "Adaptive Linked Data-driven Web Components: Building Flexible and Reusable Semantic Web Interfaces".
- 37 description "Building the Seshat Ontology for a Global History Databank".
- 26 description "Trust, Privacy, and Recommendation".
- 117 description "Provenance Management for Evolving RDF Datasets".
- 224 description "A Comparison of Techniques for Name-based Private Record Linkage".
- 40 description "Dataset Recommendation for Data Linking: an Intensional Approach".
- 27 description "Linked Data".
- 220 description "TermPicker: Enabling the Reuse of Vocabulary Terms by Exploiting Data from the Linked Open Data Cloud".
- 243 description "Linking Data, Services, and Human Know-How".