Search (26 results, page 2 of 2)

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Date

17. 1.2019 17:22:18

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Date

17.12.2013 12:51:22

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Content

Ranking with Ties of OWL Ontology Reasoners Based on Learned Performances / Alaya, Nourhène (et al.) (S.234-259) - efinement by Filtering Translation Candidates and Similarity Based Approach to Expand Emotion Tagged Corpus / Matsumoto, Kazuyuki (et al.) (S.260-280) - Employing Knowledge Artifacts to Develop Time-Depending Expert Systems / Sartori, Fabio (et al.) (S.281-301) - A Property Grammar-Based Method to Enrich the Arabic Treebank ATB / Bahloul, Raja Bensalem (et al.) (S.302-323) - Driving Innovation in Youth Policies with Open Data / Beneventano, Domenico (et al.) (S.324-344) - OntologyLine: A New Framework for Learning Non-taxonomic Relations of Domain Ontology / El idrissi esserhrouchni, Omar (et al.) (S.345-364) - Software Is Part Poetry, Part Prose / Exman, Iaakov (et al.) (S.365-380) - Automatic Pattern Generator of Natural Language Text Applied in Public Health / Fraga, Anabel (et al.) (S.381-395) - Active Integrity Constraints: From Theory to Implementation / Cruz-Filipe, Luís (et al.) (S.399-420) - Predictive Analytics in Business Intelligence Systems via Gaussian Processes for Regression / Pilon, Bruno H. A. (et al.) (S.421-442) - Semantically Enhancing Recommender Systems / Bettencourt, Nuno (et al.) (S.443-469) - Analyzing Social Learning Management Systems for Educational Environments / Avogadro, Paolo (et al.) (S.470-491) - Extending the BPMN Specification to Support Cost-Centric Simulations of Business Processes / Cartelli, Vincenzo (et al.) (S.492-514) - Supporting Semantic Annotation in Collaborative Workspaces with Knowledge Based on Linked Open Data Goy, Anna (et al.) (S.515-531)

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Abstract

With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.

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Date

22. 2.2018 12:13:57