Matches in ScholarlyData for { ?s ?p ?o. }
- 1 hasTopic Semantic_Web.
- 1 hasTopic Trust_%28social_sciences%29.
- 1 isPartOf proceedings.
- 1 title "Enabling Advanced and Context-Dependent Access Control in RDF Stores".
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- item-1 hasContent fabian-abel.
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- item-2 hasContent juri-de-coi.
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- item-3 hasContent nicola-henze.
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- item-4 hasContent arne-koesling.
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- item-5 hasContent daniel-krause.
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- item-6 hasContent daniel-olmedilla.
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- 113 creator margaret-anne-storey.
- 113 creator sean-falconer.
- 113 type InProceedings.
- 113 label "A cognitive support framework for ontology mapping".
- 113 sameAs 113.
- 113 abstract "Ontology mapping is the key to data interoperability in the semantic web. This problem has received a lot of research attention, however, the research emphasis has been mostly devoted to automating the mapping process, even though the creation of mappings often involve the user. As industry interest in semantic web technologies grows and the number of widely adopted semantic web applications increases, we must begin to support the user. In this paper, we combine data gathered from background literature, theories of cognitive support and decision making, and an observational case study to propose a theoretical framework for cognitive support in ontology mapping tools. We also describe a tool called CogZ that is based on this framework.".
- 113 hasAuthorList authorList.
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- 113 title "A cognitive support framework for ontology mapping".
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- item-1 hasContent sean-falconer.
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- item-2 hasContent margaret-anne-storey.
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- 127 creator haiping-zhu.
- 127 creator haofen-wang.
- 127 creator huajie-zhang.
- 127 creator linyun-fu.
- 127 creator yang-wang.
- 127 creator yong-yu.
- 127 type InProceedings.
- 127 label "Making More Wikipedians: Facilitating Semantics Reuse for Wikipedia Authoring".
- 127 sameAs 127.
- 127 abstract "Wikipedia, a killer application in Web 2.0, has embraced the power of collaborative editing to harness collective intelligence. It can also serve as an ideal Semantic Web data source due to its abundance, influence, high quality and well-structuring. However, the heavy burden of up-building and maintaining such an enormous and ever-growing online encyclopedic knowledge base still rests on a very small group of people. Many casual users may still feel difficulties in writing high quality Wikipedia articles. In this paper, we use RDF graphs to model the key elements in Wikipedia authoring, and propose an integrated solution to make Wikipedia authoring easier based on RDF graph matching, expecting making more Wikipedians. Our solution facilitates semantics reuse and provides users with: 1) a link suggestion module that suggests and auto-completes internal links between Wikipedia articles for the user; 2) a category suggestion module that helps the user place her articles in correct categories. A prototype system is implemented and experimental results show significant improvements over existing solutions to link and category suggestion tasks. The proposed enhancements can be applied to attract more contributors and relieve the burden of professional editors, thus enhancing the current Wikipedia to make it an even better Semantic Web data source.".
- 127 hasAuthorList authorList.
- 127 hasTopic Collaboration.
- 127 hasTopic Semantic_Web.
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- 127 title "Making More Wikipedians: Facilitating Semantics Reuse for Wikipedia Authoring".
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- item-1 hasContent linyun-fu.
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- item-2 hasContent haofen-wang.
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