Book Related Information Retrieval Using Ontology Based Semantic Search and WordPress

Nowadays most of the contents are stored and shared on the Web, so it is difficult to an intelligent user to find the exact content when it comes to finding and properly managing information in massive volumes. This difficulties are occurred due to traditional keyword search engine model. Aiming to...

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Bibliographic Details
Published inInternational journal of computer science and information security Vol. 12; no. 12; p. 39
Main Authors Lahoti, P B, Chakkarwar, V A
Format Journal Article
LanguageEnglish
Published Pittsburgh L J S Publishing 01.12.2014
Subjects
Annotations
Design
Extensible Markup Language
Fuzzy sets
Information retrieval
Keywords
Ontology
Retrieval performance measures
Semantics
Syntax
Web 2.0
World Wide Web
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Summary:Nowadays most of the contents are stored and shared on the Web, so it is difficult to an intelligent user to find the exact content when it comes to finding and properly managing information in massive volumes. This difficulties are occurred due to traditional keyword search engine model. Aiming to solve the limitations of keyword-based search engine Semantic Web (SW) has been introduced. Main idea of this research paper is to explore the current state of the semantic information retrieval with major focus on ontology based search. The research paper includes introductory knowledge on the SW and its layer cake, proposed method which make use of WordPress which is a free and open source blogging tool and a content management system based on PHP and MySQL.
ISSN:1947-5500