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Keyser, P. de: Indexing : from thesauri to the Semantic Web (2012)
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- 24. 8.2016 14:03:22
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Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018)
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Hitzler, P.; Janowicz, K.: Ontologies in a data driven world : finding the middle ground (2013)
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Papadakis, I. et al.: Highlighting timely information in libraries through social and semantic Web technologies (2016)
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- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
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Leskinen, P.; Hyvönen, E.: Extracting genealogical networks of linked data from biographical texts (2019)
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- e
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- ¬The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Ed.: P. Hitzler et al
-
Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016)
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- Editor
- Garoufallou, E. et al.
- Language
- e
-
Cahier, J.-P.; Ma, X.; Zaher, L'H.: Document and item-based modeling : a hybrid method for a socio-semantic web (2010)
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Blanco, L.; Bronzi, M.; Crescenzi, V.; Merialdo, P.; Papotti, P.: Flint: from Web pages to probabilistic semantic data (2012)
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Prud'hommeaux, E.; Gayo, E.: RDF ventures to boldly meet your most pedestrian needs (2015)
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- Bulletin of the Association for Information Science and Technology. 41(2015) no.4, S.18-22
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Hooland, S. van; Verborgh, R.; Wilde, M. De; Hercher, J.; Mannens, E.; Wa, R.Van de: Evaluating the success of vocabulary reconciliation for cultural heritage collections (2013)
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- 22. 3.2013 19:29:20
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-
LeBoeuf, P.: ¬A strange model named FRBRoo (2012)
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Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010)
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- 26.12.2011 13:40:22
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Fernández, M.; Cantador, I.; López, V.; Vallet, D.; Castells, P.; Motta, E.: Semantically enhanced Information Retrieval : an ontology-based approach (2011)
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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.
- Language
- e
-
Hyvönen, E.; Leskinen, P.; Tamper, M.; Keravuori, K.; Rantala, H.; Ikkala, E.; Tuominen, J.: BiographySampo - publishing and enriching biographies on the Semantic Web for digital humanities research (2019)
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Djioua, B.; Desclés, J.-P.; Alrahabi, M.: Searching and mining with semantic categories (2012)
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Kaminski, R.; Schaub, T.; Wanko, P.: ¬A tutorial on hybrid answer set solving with clingo (2017)
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Metadata and semantics research : 7th Research Conference, MTSR 2013 Thessaloniki, Greece, November 19-22, 2013. Proceedings (2013)
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- Date
- 17.12.2013 12:51:22
- Editor
- Garoufallou, E.
- Language
- e
