Matches in ScholarlyData for { ?s ?p ?o. }
- 326 creator andres-garcia-silva.
- 326 creator oscar-corcho.
- 326 type InProceedings.
- 326 label "Leveraging the Emergent Semantics in Twitter Lists for Ontology Development".
- 326 sameAs 326.
- 326 abstract "In this poster we present an approach to obtain automatically domain ontologies relying on domain vocabularies elicited from Twitter lists and on the reuse of conceptualizations in existing knowledge bases. We tap into relations established between list names, under which prominent users in the domain of study as well as in the microblogging platform have been classified, to harvest related concepts. The relations between concepts are identified from interlinked general-purpose knowledge bases.".
- 326 hasAuthorList authorList.
- 326 isPartOf proceedings.
- 326 keyword "Emergent Semantics".
- 326 keyword "Linked data".
- 326 keyword "Ontologies".
- 326 keyword "Reuse".
- 326 keyword "Twitter Lists".
- 326 title "Leveraging the Emergent Semantics in Twitter Lists for Ontology Development".
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- item-1 hasContent andres-garcia-silva.
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- item-2 hasContent oscar-corcho.
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- 330 creator tuukka-ruotsalo.
- 330 type InProceedings.
- 330 label "SciNet: Augmenting Access to Scientific Information".
- 330 sameAs 330.
- 330 abstract "The information needs of researchers are increasingly personalized, tailored to the state of knowledge about different topics of the user, dependent on the work context, and part of an interactive process, where users are engaged with the scientific information space. We aim at revolutionizing the way scientific information can be accessed. This vision is realized as the SciNet, a framework that enables interactive scientific information access through personalized search and user profiling through monitoring the user's behaviour and allowing user to interact with the underlying user and data models.".
- 330 hasAuthorList authorList.
- 330 isPartOf proceedings.
- 330 keyword "Personalized Search".
- 330 keyword "Scientific Information Retrieval".
- 330 keyword "Semantics".
- 330 title "SciNet: Augmenting Access to Scientific Information".
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- item-1 hasContent tuukka-ruotsalo.
- 334 creator danica-damljanovic.
- 334 creator kalina-bontcheva.
- 334 type InProceedings.
- 334 label "Named Entity Disambiguation using Linked Data".
- 334 sameAs 334.
- 334 abstract "Identification of Named Entities (NE) such as people, organisations and locations is fundamental to semantic annotation and is the starting point of more advanced text mining algorithms. For instance, sentiment analysis is widely used in finance to extract the latest signals and events from news that could affect stock prices. However, before extracting company-related sentiment, it is necessary to identify the documents containing the corresponding and unambiguous company entities. Humans usually resolve ambiguities based on context. We argue that Linked Data can be a valuable source for extending the already available context. We combine a state-of-the-art named entity tool with novel Linked Data-based similarity measures and show that our algorithm can improve disambiguation accuracy on a subset of Wikipedia user profiles.".
- 334 hasAuthorList authorList.
- 334 isPartOf proceedings.
- 334 keyword "disambiguation".
- 334 keyword "entity linking".
- 334 keyword "linked data".
- 334 keyword "named entities".
- 334 title "Named Entity Disambiguation using Linked Data".
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- item-1 hasContent danica-damljanovic.
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- item-2 hasContent kalina-bontcheva.
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- 335 creator antonios-papadakis-Pesaresi.
- 335 creator christos-tryfonopoulos.
- 335 creator lefteris-zervakis.
- 335 creator manolis-koubarakis.
- 335 creator spiros-skiadopoulos.
- 335 type InProceedings.
- 335 label "Full-text Support for Publish/Subscribe Ontology Systems".
- 335 sameAs 335.
- 335 abstract "We envision a publish/subscribe ontology system that is able to index millions of user subscriptions and filter them against ontology data that arrive in a streaming fashion. In this work, we propose a SPARQL extension appropriate for a publish/subscribe setting; our extension builds on the natural semantic graph matching of the language and supports the creation of full-text subscriptions. Subsequently, we propose a main-memory subscription indexing algorithm which performs both semantic and full-text matching at low complexity and minimal filtering time. Thus, when ontology data are published matching subscriptions are identified and notifications are forwarded to users.".
- 335 hasAuthorList authorList.
- 335 isPartOf proceedings.
- 335 keyword "full-text SPARQL".
- 335 keyword "ontology filtering".
- 335 keyword "publish/subscribe".
- 335 keyword "subscription indexing".
- 335 title "Full-text Support for Publish/Subscribe Ontology Systems".
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- item-1 hasContent lefteris-zervakis.
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- item-2 hasContent christos-tryfonopoulos.
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- item-3 hasContent antonios-papadakis-Pesaresi.
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