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

I.J. Grishanova | Zendy

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

Author(s) -

I.J. Grishanova

Publication year - 2016

Publication title -

problems in programming

Language(s) - English

Resource type - Journals

ISSN - 1727-4907

DOI - 10.15407/pp2016.01.051

Subject(s) - information retrieval , computer science , semantic search , search engine , semantic web , human–computer information retrieval , social semantic web , world wide web , semantic web stack , concept search , web search query

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.

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