Analytical review on information retrieval methods and applications in the Semantic Web

I.J. Grishanova


The article describes and analyzes the Information Retrieval (IR) methods and applications in the environment of Semantic Web. The author provided the basic Information Retrieval concepts, problems, models and classification of IR systems on various grounds. Examples of existing modern search engines, as well as highlighted the stages of development and listed a list of functional and architectural features of 3-rd search engines generation. The proposed model of IR extends the classification of search engines and search model with the possibility of finding new objects that have become available in the web, and use knowledge represented in the Semantic Web.

Prombles in programming 2016; 1: 51-72


information retrieval; semantic search; search engines; Semantic Web


Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze An Introduction to Information Retrieval, Online edition (c)2009 Cambridge UP, Draft of April 1, 2009.

Cherniy Y.Y. School of scientific information. Information needs. Basics of information re-trieval.

Zacharov V.P. Informational retrieval systems, Learning manual, St. Petersburg, 2005.

Medvedj V.N. Methods of information retrieval.

Van Rijsbergen C.J. Information Retrieval. London: Butterworths, 1979. Available at

Sharapov Р.В., Sharapova E.V., Saratovceva O.A., Models of information retirieval.

Nekrestyanov I.S. Topic – oriented methods of information retrieval: The Thesis of Ph.D.: 05.13.11 / Saint-Petersburg State University – St.Pt., 2000. – 88 p.

Dubinskyi A.G. Some questions of the use of the vector model for the document`s presentation in the information retrieval // Control Systems and Computers. – 2001. – N 4. – P. 77–83.

Kogalovskyi M.R. Prospective technologies of information systems. – M.: DMK Press; Мoscow: IT Company, 2003. – 288 p.

Holscher C. and Strube G. Web search behaviour of Internet experts and Newbies. Proceedings of WWW9. 2000.

Navarro-Prieto R., Scaife M. & Rogers Y. Cognitive Strategies in Web Searching. Proceedings of the 5th Conference on Human Factors & the Web, 1999.

Muramatu J. and Pratt W. Transparent queries: Investigating Users' Mental Models of Search Engines, Proceedings of SIGIR 2001. CrossRef

Choo C. W., Detlor B., and Turnbull D. Information Seeking on the Web - An integrated model of browsing and searching. Proceedings of the Annual Meeting of the American Society for Information Science

(ASIS), 1999. CrossRef

Broder A. A taxonomy of web search, IBM Research, ACM SIGIR Forum archive. - 2002. - Vol. 36 , Issue 2. - P. 3-10. CrossRef

Lexical base of English language WordNet.

Online vocabulary

Online vocabulary

Rodnessey J. New Search Engines: The Next Generation of Google Competition, 2009.

Nobles R. The Future Of Search Engine Op-timizing.

Andon P.I., Grishanova I.J., Reznichenko V.А. Semantic Web as a new model of the infor-mation space of the Internet // Problems in Programming. – 2008. – N 2–3, P. 417–430.

Ezzy E. Search 2.0 vs Traditional Search, 2006.

McLoughlin S. Searching on the web; the new breed of search engines, 2009.

Wolfram S. Wolfram Alpha – computational knowledge engine, 2009.

Sidorov V. Wolfram Alpha – Computational Knowledge Engine, or How To Add Apple with Orange?, blog, 2009.

Official Google Blog: Square your search results with Google Squared.

Sidorov V. Google Squared: How the Success of Wolfram Alpha Stirred up Google and What Happened?.., blog, 2009.

Soubbotin D. Summarization, the Answer to Web Search: Interview with Dmitri Soubbotin of SenseBot, Search Engine Journal, 2007.

Levshin D. Web, part 3, "Open systems". – 2008. – N 2.

Rogushina J.V., Grishanova I.Y. Development of the Principles of Electronic Publications, Providing the Correct Indexing of Internet Search Engines // Problems in Programming – 2004, N 4. – P. 39–47.



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