Search (51 results, page 3 of 3)

  • × theme_ss:"Semantic Web"
  • × theme_ss:"Wissensrepräsentation"
  1. Soergel, D.: SemWeb: Proposal for an Open, multifunctional, multilingual system for integrated access to knowledge about concepts and terminology : exploration and development of the concept (1996) 0.00
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    Date
    15. 6.2010 19:25:29
  2. ¬The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part 2. (2010) 0.00
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    Date
    29. 7.2011 14:44:56
  3. Koutsomitropoulos, D.A.; Solomou, G.D.; Alexopoulos, A.D.; Papatheodorou, T.S.: Semantic metadata interoperability and inference-based querying in digital repositories (2009) 0.00
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    Source
    Journal of information technology research. 2(2009) no.4, p.37-53
  4. Iosif, V.; Mika, P.; Larsson, R.; Akkermans, H.: Field experimenting with Semantic Web tools in a virtual organization (2004) 0.00
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  5. OWL Web Ontology Language Semantics and Abstract Syntax (2004) 0.00
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    Editor
    Patel-Schneider, P.F., P. Hayes u . I. Horrocks
  6. Uren, V.; Cimiano, P.; Iria, J.; Handschuh, S.; Vargas-Vera, M.; Motta, E.; Ciravegnac, F.: Semantic annotation for knowledge management : requirements and a survey of the state of the art (2006) 0.00
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  7. ¬The Semantic Web - ISWC 2010 : 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I. (2010) 0.00
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    Date
    29. 7.2011 14:44:56
  8. Zhitomirsky-Geffet, M.; Bar-Ilan, J.: Towards maximal unification of semantically diverse ontologies for controversial domains (2014) 0.00
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    Date
    20. 1.2015 18:30:22
  9. Fernández, M.; Cantador, I.; López, V.; Vallet, D.; Castells, P.; Motta, E.: Semantically enhanced Information Retrieval : an ontology-based approach (2011) 0.00
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    Abstract
    Currently, techniques for content description and query processing in Information Retrieval (IR) are based on keywords, and therefore provide limited capabilities to capture the conceptualizations associated with user needs and contents. Aiming to solve the limitations of keyword-based models, the idea of conceptual search, understood as searching by meanings rather than literal strings, has been the focus of a wide body of research in the IR field. More recently, it has been used as a prototypical scenario (or even envisioned as a potential "killer app") in the Semantic Web (SW) vision, since its emergence in the late nineties. However, current approaches to semantic search developed in the SW area have not yet taken full advantage of the acquired knowledge, accumulated experience, and technological sophistication achieved through several decades of work in the IR field. Starting from this position, this work investigates the definition of an ontology-based IR model, oriented to the exploitation of domain Knowledge Bases to support semantic search capabilities in large document repositories, stressing on the one hand the use of fully fledged ontologies in the semantic-based perspective, and on the other hand the consideration of unstructured content as the target search space. The major contribution of this work is an innovative, comprehensive semantic search model, which extends the classic IR model, addresses the challenges of the massive and heterogeneous Web environment, and integrates the benefits of both keyword and semantic-based search. Additional contributions include: an innovative rank fusion technique that minimizes the undesired effects of knowledge sparseness on the yet juvenile SW, and the creation of a large-scale evaluation benchmark, based on TREC IR evaluation standards, which allows a rigorous comparison between IR and SW approaches. Conducted experiments show that our semantic search model obtained comparable and better performance results (in terms of MAP and P@10 values) than the best TREC automatic system.
  10. Djioua, B.; Desclés, J.-P.; Alrahabi, M.: Searching and mining with semantic categories (2012) 0.00
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  11. Baker, T.; Bermès, E.; Coyle, K.; Dunsire, G.; Isaac, A.; Murray, P.; Panzer, M.; Schneider, J.; Singer, R.; Summers, E.; Waites, W.; Young, J.; Zeng, M.: Library Linked Data Incubator Group Final Report (2011) 0.00
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