Web Semantics for Personalized Information Retrieval

Author:

Singh Aarti1,Sharma Anu2

Affiliation:

1. Guru Nanak Girls College, Yamuna Nagar, India

2. ICAR-IASRI New Delhi, India

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.

Publisher

IGI Global

Reference66 articles.

1. Dynamic Modeling by Usage Data for Personalization Systems

2. Intelligent techniques for web personalization.;S. S.Anand;Proceedings of the 2003 International Conference on Intelligent Techniques for Web Personalization,2005

3. Anil, N.K., Kurian, S.B., Abahai, T. A. & Varghese, S.M. (2013). Multidimensional user data model for web personalization. International Journal of Computer Applications, 69(12), 32-37.

4. The role of emotion in believable agents

5. Ontology based user modelling for personalized information access.;P. K.Bhowmick;International Journal of Computer Science and Applications,2010

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multifunctional cube index for information retrieval and clustering;INTERNATIONAL CONFERENCE ON SUSTAINABLE MATERIALS SCIENCE, STRUCTURES, AND MANUFACTURING;2023

2. Semantic Data Structures for Knowledge Generation in Open World Information System;XVI Brazilian Symposium on Information Systems;2020-10-20

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3