Open AccessAnalytical review on information retrieval methods and applications in the Semantic Web
Author(s) -
I.J. Grishanova
Publication year - 2016
Publication title -
problemy programmirovaniâ
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 , world wide web , social semantic web , semantic web stack
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.