Indexing with WordNet synsets can improve Text Retrieval

Autor: Gonzalo, Julio, Verdejo, Felisa, Chugur, Irina, Cigarran, Juan

Publikováno v: Proceedings of the COLING/ACL'98 Workshop on Usage of WordNet for NLP, Montreal, 1998

The classical, vector space model for text retrieval is shown to give better results (up to 29% better in our experiments) if WordNet synsets are chosen as the indexing space, instead of word forms. This result is obtained for a manually disambiguate

Externí odkaz: http://arxiv.org/abs/cmp-lg/9808002

An Integration Architecture of Virtual Campuses with External e-Learning Tools.

Autor: Navarro, Antonio¹ anavarro@fdi.ucm.es, Cigarrán, Juan² juanci@lsi.uned.es, Huertas, Francisco³ francisco.huertas@centeropenmiddleware.com, Rodrìguez-Artacho, Miguel² miguel@lsi.uned.es, Cogolludo, Alberto² acogolludo@lsi.uned.es

Publikováno v: Educational Technology & Society. Jul2014, Vol. 17 Issue 3, p252-266. 15p.

Linked Data-based Conceptual Modelling for Recommendation: A FCA-Based Approach.

Autor: Castellanos, Angel, García-Serrano, Ana, Cigarrán, Juan

Publikováno v: E-Commerce & Web Technologies: 15th International Conference, EC-Web 2014, Munich, Germany, September 1-4, 2014. Proceedings; 2014, p71-76, 6p

Automatic Selection of Noun Phrases as Document Descriptors in an FCA-Based Information Retrieval System.

Autor: Ganter, Bernhard, Godin, Robert, Cigarrán, Juan M., Peñas, Anselmo, Gonzalo, Julio, Verdejo, Felisa

Publikováno v: Formal Concept Analysis; 2005, p49-63, 15p

SOA integration of a tool for retrieving open learning resources into a modular virtual campus

Autor: Navarro, Antonio, Miguel Rodríguez-Artacho, Huertas, Francisco, Cigarrán, Juan, Buendía, F.

Publikováno v: Scopus-Elsevier
ResearcherID

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1b3138d1b26830578e6e6a9ea0423840
http://www.scopus.com/inward/record.url?eid=2-s2.0-84887443412&partnerID=MN8TOARS