The investigation objective is to simplify factographic data multidimensional search process by modifying latent-semantic analysis models and a corresponding logical linguistic model. Formal multidimensional semantic space model was created, the types of logical connections that can be used for a multidimensional factographic search were identified. Indicators and metrics for context clustering were chosen. Logical linguistic model for factographic data identification was formed
[1] Gries, S. Th. Corpus-based methods and cognitive semantics: the many meanings of to run / S. Th. Gries. – Corpora in cognitive linguistics: corpusbased approaches to syntax and lexis, 2006. – P. 57–99.
[2] Evans, V. Lexical concepts, cognitive models and meaning-construction / V. Evans // Journal of Cognitive semiotics. – 2006. – P. 73-107.
[3] Rio Blanco, Peter Milka, Sebatiano Vigna (2011) “Effective and Efficient Entity Search in RDF data”. The Semantic Web – ISWC – Springer, 92 p.
[4] Guha, R. V. Semantic search / R. V. Guha, R. McCool, E. Miller // Proc. of the 12th inter.WWW conf. (WWW 2003). – Budapest, Hungary, 2003. – pp. 700-709.
[5] Tao Cheng, Kevin Chen-Chuan Chang (2007) “Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web”. CIDR –pp. 108-113.
[6] Pedersen, T. Measures of semantic similarity and relatedness in the medical domain / T. Pedersen, S. Pakhamov, S. Patwardhan // University of Minnesota digital technology center research report DTC 2005/12.
[7] Resnik, P. Semantic similarity in a taxonomy: An information-based measures and its application to problems of ambiguity in natural language / P. Resnik // Journal of artificial intelligence. – 1999. – pp. 95-130.
[8] Shah, U. Information Retrieval on the Semantic Web / U. Shah, T. Finin, A. Joshi, R. Cost, J. Mayfield // 10th Inter. Conf.. on Information and Knowledge Management. – N.Y., USA: ACM Press, 2003. – pp. 461-68.
[9] Sparck, J. Document Retrieval: Shallow Data, Deep Theories, Historical Reflections, Potential Directions / J. Sparck // 25 th European Conf. on IR Research. – Pisa, Italy: Springer Verlag, 2003. – V. 2633, № 77. – pp. 1-11.
[10] Tsinaraki, С Ontology-Based Semantic Indexing for MPEG-7 and TV-Anytime Audiovisual Content / C. Tsinaraki, P. Polydoros, F. Kazasis // Multimedia Tools and Applications. – 2005. – V. 26. pp. 299-325.
[11] Baziz, M. Semantic cores for representing documents in information retrieval / M. Baziz, M. Boughanem, N. Aussenac-Gilles, C. Chrisment // In Proc. Of 2005 ACM symposium on applied computing. – New Mexico, 2005. – pp. 1011-1017.