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- item-2 hasContent michael-kifer.
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- 143 creator jerome-euzenat.
- 143 type InProceedings.
- 143 label "Algebras of Ontology Alignment Relations".
- 143 sameAs 143.
- 143 abstract "Correspondences in ontology alignments relate two ontology entities with a relation. Typical relations are equivalence or subsumption. However, different systems may need different kinds of relations. We propose to use the concepts of algebra of relations in order to express the relations between ontology entities in a general way. We show the benefits in doing so in expressing disjunctive relations, merging alignments in different ways, amalgamating alignments with relation sets of different granularity, and composing alignments.".
- 143 hasAuthorList authorList.
- 143 hasTopic Semantic_Web.
- 143 isPartOf proceedings.
- 143 keyword "Algebra of relations".
- 143 keyword "Alignment aggregation".
- 143 keyword "Alignment composition".
- 143 keyword "Ontology alignment".
- 143 title "Algebras of Ontology Alignment Relations".
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- item-1 hasContent jerome-euzenat.
- 160 creator krisztian-buza.
- 160 creator lars-schmidt-thieme.
- 160 creator leandro-balby-marinho.
- 160 type InProceedings.
- 160 label "Folksonomy-based Collabulary Learning".
- 160 sameAs 160.
- 160 abstract "The growing popularity of social tagging systems promises to alleviate the knowledge bottleneck that slows the full materialization of the Semantic Web, as these systems are cheap, extendable, scalable and respond quickly to user needs. However, for the sake of knowledge workflow, one needs to find a compromise between the ungoverned nature of folksonomies and the controlled vocabulary of domain-experts. In this paper, we address this concern by first devising a method that automatically combines folksonomies with domain-expert ontologies resulting in an enriched folksonomy. We then introduce a new algorithm based on frequent itemsets mining that efficiently learns an ontology over the concepts present in the enriched folksonomy. Moreover, we propose a new benchmark for ontology evaluation, which is used in the context of information finding, since this is one of the leading motivations for using ontologies in social tagging systems, to quantitatively assess our method. We conduct experiments on real data and empirically show the effectiveness of our approach.".
- 160 hasAuthorList authorList.
- 160 hasTopic Semantic_Web.
- 160 isPartOf proceedings.
- 160 keyword "Ontology Evaluation".
- 160 keyword "Ontology Learning".
- 160 keyword "Semantic Mapping".
- 160 keyword "Social Networks".
- 160 title "Folksonomy-based Collabulary Learning".
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- item-1 hasContent leandro-balby-marinho.
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- item-3 hasContent lars-schmidt-thieme.
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- 172 creator harith-alani.
- 172 creator ivan-cantador.
- 172 creator martin-szomszor.
- 172 creator nigel-r-shadbolt.
- 172 creator kieron-o'hara.
- 172 type InProceedings.
- 172 label "Semantic Modelling of User Interests Based on Cross-folksonomy Analysis".
- 172 sameAs 172.
- 172 abstract "The continued increase in Web usage, in particular participation in folksonomies, reveals a trend towards a more dynamic and interactive Web where individuals can organise and share resources. Tagging has emerged as the de-facto standard for the organisation of such resources, providing a versatile and reactive knowledge management mechanism that users find easy to use and understand. It is very common nowadays for users to have multiple profiles in various folksonomies, thus distributing their tagging activities. In this paper, we present a method for the automatic consolidation of user profiles accross two popular social networking sites, and subsequent semantic modelling of their interests utilising Wikipedia as a multi-domain model. We evaluate how much can be learned from such sites, and where the knowledge acquired is focussed. Results show that far richer interest profiles can be generated for users when their multiple tag clouds are combined.".
- 172 hasAuthorList authorList.
- 172 hasTopic Semantic_Web.
- 172 isPartOf proceedings.
- 172 keyword "Folksonomy".
- 172 keyword "Semantic Profiles".
- 172 keyword "Social Networking".
- 172 keyword "Wikipedia".
- 172 title "Semantic Modelling of User Interests Based on Cross-folksonomy Analysis".
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- item-1 hasContent martin-szomszor.
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- item-2 hasContent harith-alani.
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- item-5 hasContent nigel-r-shadbolt.
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- 177 creator andreas-hotho.
- 177 creator ciro-cattuto.
- 177 creator dominik-benz.
- 177 creator gerd-stumme.
- 177 type InProceedings.