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Web Semantics for Personalized Information Retrieval
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Author(s): Aarti Singh (Guru Nanak Girls College, Yamuna Nagar, India)and Anu Sharma (ICAR-IASRI New Delhi, India)
Copyright: 2017
Pages: 21
Source title:
Web Semantics for Textual and Visual Information Retrieval
Source Author(s)/Editor(s): Aarti Singh (Guru Nanak Girls College, Yamuna Nagar, India), Nilanjan Dey (Techno India College of Technology, India), Amira S. Ashour (Tanta University, Egypt & Taif University, Saudi Arabia)and V. Santhi (VIT University, India)
DOI: 10.4018/978-1-5225-2483-0.ch008
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Abstract
This chapter explores the synergy between Semantic Web (SW) technologies and Web Personalization (WP) for demonstrating an intelligent interface for Personalized Information Retrieval (PIR) on web. Benefits of adding semantics to WP through ontologies and Software Agents (SA) has already been realized. These approaches are expected to prove useful in handling the information overload problem encountered in web search. A brief introduction to PIR process is given, followed by description of SW, ontologies and SA. A comprehensive review of existing web technologies for PIR has been presented. Although, a huge contribution by various researchers has been seen and analyzed but still there exist some gap areas where the benefits of these technologies are still to be realized in future personalized web search.
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