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- 157 hasTopic Semantic_Web.
- 157 isPartOf proceedings.
- 157 title "Semantic Enhancement for Enterprise Data Management".
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- item-1 hasContent li-ma.
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- item-2 hasContent xingzhi-sun.
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- item-3 hasContent feng-cao.
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- item-4 hasContent chen-wang.
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- 170 creator dragan-gasevic.
- 170 creator jelena-jovanovic.
- 170 creator zoran-jeremic.
- 170 type InProceedings.
- 170 label "Semantic Web Technologies for the Integration of Learning Tools and Context-aware Educational Services".
- 170 sameAs 170.
- 170 abstract "One of the main software engineers competencies, solving software problems, is most effectively acquired through an active examination of learning resources and work on real-world examples in small development teams. This obviously indicates a need for an integration of several existing learning tools and systems in a common collaborative learning environment, as well as advanced educational services that provide students with right in time advice about learning resources and possible collaboration partners. In this paper, we present how we developed and applied a common ontological foundation for the integration of different existing learning tools and systems in a common learning environment called DEPTHS (Design Patterns Teaching Help System). In addition, we present a set of educational services that leverages semantic rich representation of learning resources and students interaction data to recom-mend resource relevant for students current learning context.".
- 170 hasAuthorList authorList.
- 170 hasTopic Semantic_Web.
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- 170 title "Semantic Web Technologies for the Integration of Learning Tools and Context-aware Educational Services".
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- item-1 hasContent zoran-jeremic.
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- item-2 hasContent jelena-jovanovic.
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- item-3 hasContent dragan-gasevic.
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- 171 creator alexandre-passant.
- 171 creator john-breslin.
- 171 creator smitashree-choudhury.
- 171 type InProceedings.
- 171 label "Enrichment and Ranking of the YouTube Tag Space and Integration with the Linked Data Cloud".
- 171 sameAs 171.
- 171 abstract "The increase of personal digital cameras with video functionality and video-enabled camera phones has increased the amount of user-generated videos on the Web. People are spending more and more time viewing online videos as a major source of entertainment and infotainment. Social websites allow users to assign shared free-form tags to user-generated multimedia resources, thus generating annotations for objects with a minimum amount of effort. Tagging allows communities to organize their multimedia items into browseable sets, but these tags may be poorly chosen and related tags may be omitted. Current techniques to retrieve, integrate and present this media to users are deficient and could do with improvement. In this paper we describe a framework for semantic enrichment, ranking and integration of web video tags using Semantic Web technologies. Semantic enrichment of folksonomies can bridge the gap between the uncontrolled and flat structures typically found in user-generated content and structures provided by the Semantic Web. The enhancement of tag spaces with semantics has been accomplished through two major tasks: (1) a tag space expansion and ranking step; and (2) through concept matching and integration with the Linked Data cloud. We have explored social, temporal and spatial contexts to enrich and extend the existing tag space. The resulting semantic tag space is modelled via a local graph based on co-occurrence distances for ranking. A ranked tag list is mapped and integrated with the Linked Data cloud through the DBpedia resource repository. Multi-dimensional context filtering for tag expansion means that tag ranking is much easier and it provides less ambiguous tag to concept matching.".
- 171 hasAuthorList authorList.
- 171 hasTopic Semantic_Web.
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- 171 title "Enrichment and Ranking of the YouTube Tag Space and Integration with the Linked Data Cloud".
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- item-1 hasContent smitashree-choudhury.
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- 183 creator basuki-setio.
- 183 creator donald-hillman.
- 183 creator jeff-heflin.
- 183 creator yang-yu.
- 183 type InProceedings.
- 183 label "A Case Study in Integrating Multiple E-commerce Standards via Semantic Web Technology".
- 183 sameAs 183.
- 183 abstract "Internet business-to-business transactions present great challenges in merging information from different sources. In this paper we describe a project to integrate four representative commercial classification systems with the Federal Cataloging System (FCS). The FCS is used by the US Defense Logistics Agency to name, describe and classify all items under inventory control by the DoD. Our approach uses the ECCMA Open Technical Dictionary (eOTD) as a common vocabulary to accommodate all different classifications. We create a semantic bridging ontology between each classification and the eOTD to describe their logical relationships in OWL DL. The essential idea is that since each classification has formal definitions in a common vocabulary, we can use subsumption to automatically integrate them, thus mitigating the need for pairwise mappings. Furthermore our system provides an interactive interface to let users choose and browse the results and more importantly it can translate catalogs that commit to these classifications using compiled mapping results.".
- 183 hasAuthorList authorList.
- 183 hasTopic Semantic_Web.
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- 183 title "A Case Study in Integrating Multiple E-commerce Standards via Semantic Web Technology".
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