Matches in ScholarlyData for { ?s ?p ?o. }
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- 6 creator ali-masri.
- 6 creator karine-zeitouni.
- 6 creator zoubida-kedad.
- 6 type InProceedings.
- 6 label "Link++: A flexible and customizable tool for connecting RDF data sources".
- 6 sameAs 6.
- 6 abstract "Existing interlinking tools focus on finding similarity relationships between entities of distinct RDF datasets by generating owl:sameAs links. These approaches address the detection of equivalence relations between entities. However, in some contexts, more complex relations are required, and the links to be defined follow more sophisticated patterns. This paper introduces Link++, an approach that enables the discovery of complex links in a flexible manner. Link++ enables the users to generate rich links by defining custom functions and linking patterns that fit their needs.".
- 6 hasAuthorList authorList.
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- 6 title "Link++: A flexible and customizable tool for connecting RDF data sources".
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- item-1 hasContent ali-masri.
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- item-2 hasContent karine-zeitouni.
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- item-3 hasContent zoubida-kedad.
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- 9 creator jakub-klimek.
- 9 creator jiri-helmich.
- 9 creator martin-necasky.
- 9 type InProceedings.
- 9 label "LinkedPipes Visualization: Simple Useful Linked Data Visualization Use Cases".
- 9 sameAs 9.
- 9 abstract "There is a need for being able to effectively demonstrate the benefits of publishing Linked Data. There are already many datasets and they are no longer limited to research based data sources. Governments and even companies start publishing Linked Data as well. However, a tool, which would be able to immediately demonstrate the Linked Data benefits to those, who still need convincing, was missing. In this paper, we demonstrate LinkedPipes Visualization, a tool based on our previous work, the Linked Data Visualization Model. Using this tool, we show four simple use cases that immediately demonstrate the Linked Data benefits. We demonstrate the value of providing dereferenceable IRIs and using vocabularies standardized as W3C Recommendations on use cases based on SKOS and the RDF Data Cube Vocabulary, providing data visualizations on one click. LinkedPipes Visualization can be extended to support other vocabularies through additional visualization components.".
- 9 hasAuthorList authorList.
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- 9 title "LinkedPipes Visualization: Simple Useful Linked Data Visualization Use Cases".
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- item-1 hasContent jakub-klimek.
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- item-2 hasContent jiri-helmich.
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- item-3 hasContent martin-necasky.
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- 122 creator guohui-xiao.
- 122 creator konstantina-bereta.
- 122 creator manolis-koubarakis.
- 122 creator stefan-bruggemann.
- 122 type InProceedings.
- 122 label "Ontology-based data access for Maritime Security".
- 122 sameAs 122.
- 122 abstract "The maritime security domain is challenged by a number of data analysis needs focusing on increasing the maritime situation awareness, i.e., detection and analysis of abnormal vessel behaviors and suspicious vessel movements. The need for efficient processing of dynamic and/or static vessel data that come from different heterogeneous sources is emerged. In this paper we describe how we address the challenge of combining and processing real-time and static data from different sources using ontology-based data access techniques, and we explain how the application of Semantic Web technologies increases the value of data and improves the processing workflow in the maritime domain. ".
- 122 hasAuthorList authorList.
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- 122 title "Ontology-based data access for Maritime Security".
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- item-1 hasContent stefan-bruggemann.
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- item-2 hasContent konstantina-bereta.
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- item-3 hasContent guohui-xiao.
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- item-4 hasContent manolis-koubarakis.
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- 14 creator christian-dirschl.
- 14 creator christian-mader.
- 14 creator dimitris-kontokostas.
- 14 creator jens-lehmann.
- 14 creator katja-eck.
- 14 creator michael-leuthold.
- 14 creator sebastian-hellmann.
- 14 type InProceedings.
- 14 label "Semantically Enhanced Quality Assurance in the JURION Business Use Case".
- 14 sameAs 14.
- 14 abstract "The publishing industry is undergoing major changes. These changes are mainly based on technical developments and related habits of information consumption. Wolters Kluwer already engaged in new solutions to meet these challenges and to improve all processes of generating good quality content in the backend on the one hand and to deliver information and software in the frontend that facilitates the customer's life on the other hand. JURION is an innovative legal information platform developed by Wolters Kluwer Germany (WKD) that merges and interlinks over one million documents of content and data from diverse sources such as national and European legislation and court judgments, extensive internally authored content and local customer data, as well as social media and web data (e.g. DBpedia). In collecting and managing this data, all stages of the Data Lifecycle are present – extraction, storage, authoring, interlinking, enrichment, quality analysis, repair and publication. Ensuring data quality is a key step in the JURION data lifecycle. In this industry paper we present two use cases for verifying quality: 1) integrating quality tools in the existing software infrastructure and 2) improving the data enrichment step by checking the external sources before importing them in JURION. We open-source part of our extensions and provide a screencast with our prototype in action.".
- 14 hasAuthorList authorList.
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- 14 title "Semantically Enhanced Quality Assurance in the JURION Business Use Case".
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