Russian Federation
Russian Federation
Mnogie eksperty predskazyvayut, chto sleduyuschiy ogromnyy shag vpered v oblasti veb-informacionnyh tehnologiy budet dostignut putem dobavleniya semantiki k veb-dannym i, vozmozhno, budet sostoyat' iz semanticheskoy seti. V etoy stat'e predstavlyaetsya podhod k semanticheskomu poisku, kotoryy sochetaet v sebe standartnyy veb-poisk s ontologicheskimi znaniyami. Fakticheski, dannaya stat'ya posvyaschena voprosam ispol'zovaniya standartnyh poiskovyh sistem v kachestve osnovnogo sposoba vyvoda dannyh dlya poiska po ontologii. V dannoy stat'e predlagaetsya legkie programmnye klienty ispol'zovat' dlya annotacii i razbora zaprosov. Takzhe v ney razrabatyvaetsya formal'naya model', kotoraya sposobna obespechivat' realizaciyu v intellektual'nom mul'timodal'nom interfeyse. Krome togo v ney predstavleny rezul'taty eksperimentov, dokazyvayuschih vozmozhnost' ispol'zovaniya dannogo podhoda dlya analiza ochen' bol'shih ob'emov dannyh.
Semantika, algoritm poiska, semanticheskaya set', sbor dannyh, obnaruzhenie znaniy, intellektual'nyy mul'timodal'nyy interfeys.
1. The Description Logic Handbook / F. Baader, D. Calvanese, D. L. McGuinness, D. Nardi, P. F. Patel-Schneider. – Cambridge University Press. - 2003. – 500 p.
2. Berners-Lee, T. The Semantic Web. / T. Berners-Lee, J. Hendler, O. Lassil // Sci. Am. – 2001. – Vol. 284. – Pr.34-43.
3. Brin, S. The anatomy of a large-scale hypertextual web search engine / S. Brin, L. Page // Computer Networks. – 1998. – Vol. 30 (1-7). – Rr.107–117.
4. P-TAG: Large scale automatic generation of personalized annotation TAGs for the Web / P.-A. Chirita, S. Costache, W. Nejdl, S. Handschuh // Proceedings of the 16th international conferevce on World Wide Web. – 2007. – Pp. 845-854.
5. d’Amato, C. Query answering and ontology population: An inductive approach / C. d’Amato, N. Fanizzi, F. Es-posito // Proc. ESWC. – 2008. – Vol. 5021. – Pp. 288-302.
6. Search on the Semantic Web / L. Ding, T. W. Finin, A. Joshi, Y. Peng, R. Pan, P. Reddivari // IEEE Computer. – 2005. – Vol. 38(10). – Pr. 62–69.
7. Fanizzi, N. Induction of classifiers through non-parametric methods for approximate classification and retrieval with ontologies / N. Fanizzi, C. d’Amato, F. Esposito // International Journal of Semantic Computing. – 2008. – Vol. 2(3). – Pr.403–423.
8. From Web search to Semantic Web search /B. Fazzinga, G. Gianforme, G. Gottlob, T. Lukasiewicz //Technical Report INFSYS RR-1843-08-11, Institut fur Informationssysteme, - TU Wien, November 2008. – Pp. 15-26.
9. Guha, R. V. Semantic search / R. V. Guha, R. McCool, E. Miller // Proceedings of the 12th international conferevce on World Wide Web. – 2003. – Pp.700-709.
10. Linking data to ontologies / A. Poggi, D. Lembo, D. Calvanese, G. De Giacomo, M. Lenzerini, R. Rosati // Data Semantics. – 2008. – Vol. 10. – Rr. 133-173.
11. Similarity Search. The Metric Space Approach, Advances in Data-base Systems / P. Zezula, G. Amato, V. Dohnal, M. Batko // Based on a Book Published by Springer. – 2006. – Vol 32 (1). – 220 p.
12. Xing, J. Learning and inferencing in user ontology for personalized semantic web search / X. Jiang, A.-H. Tan // Information Sciences – 20 July 2009. – 2009. – V. 179, I. 16. – Pp. 2794–2808.
13. Madhu, G. Intelligent Semantic Web Search Engines: A Brief Survey / G. Madhu, A. Govardhan, T.V. Rajinikanth // International journal of Web & Semantic Technology (IJWesT). – 2011. – Vol. 2, I. 1. – Pp. 34-42.
14. Kashkin, E. V. Semanticheskie roli i set' konstrukciy v sisteme FrameBank / E. V. Kashkin, O. N. Lyashevskaya // Trudy mezhdunarodnoy konferencii "Dialog 2013". – 2013. – S. 325-343.
15. Plungyan, V. A. Vvedenie v grammaticheskuyu semantiku: grammaticheskie znacheniya i grammaticheskie sistemy yazykov mira : uchebnoe posobie / V.A. Plungyan. – M. : Izdatel'stvo RGGU, 2011. – 672 c.
16. Serbulov, Yu. S. Mera informacii v zadachah vybora i raspredeleniya informacionnyh resursov / Yu. S. Serbulov, O. Yu. Lavlinskaya, V. V. Lavlinskiy // Inzhenernaya fizika. – 2010. – № 4. –S. 7-8.
17. Lavlinskiy, V. V. Teoreticheskie predposylki resheniya problem formirovaniya modeley i metodov vzaimodeystviya informacionnyh processov / V. V. Lavlinskiy // Modelirovanie sistem i processov. – 2013. – № 2. – S. 30-36.
18. Lavlinskiy, V. V. Teoreticheskie osnovy matematicheskogo modelirovaniya dlya opisaniya celenapravlennyh sistem / V. V. Lavlinskiy, E. A. Rogozin, S. N. Yan'shin // Vestnik Voronezhskogo instituta MVD Rossii. – 2017. – № 2. – S. 143-153.
