UcEF for Semantic IR

Author:

Akhigbe Bernard Ijesunor1ORCID

Affiliation:

1. Department of Computer Science & Engineering, Obafemi Awolowo University, Nigeria

Abstract

At present, keyword-based techniques allow information retrieval (IR) but are unable to capture the conceptualizations in users' information needs and contents. The response to this has been semantic search computing with commendable success. Surprisingly, it is still difficult to evaluate Semantic IR (SIR) and understand the user contexts. The absence of a standardized cognitive user-centred evaluative paradigm (CUcEP) further exacerbates these challenges. This chapter provides the state-of-the-art on IR and SIR evaluation and a systematic review of contexts. Appropriate user-centred theories and the proposed evaluative framework with its integrated-context, web analytic conception, and related data analytic technique are presented. A descriptive approach is adopted, with the conclusion that multiple contexts are essential in SIR evaluation since “searching by meaning” is a multi-dimensional cognitive conception, hence the need to consider the impact of context dynamicity. Finally, the foregrounded semantic items will be applied to standardize the CUcEP in future.

Publisher

IGI Global

Reference82 articles.

1. Evaluating the Benefits of Conscious and Unconscious Thought in Complex Decision Making

2. Akhigbe, B. I. (2015). Development of a user-centric integrated evaluative model for information retrieval systems (Unpublished Ph.D. thesis). Postgraduate College, Obafemi Awolowo University, Ile-Ife, Nigeria.

3. Akhigbe, B. I., Aderibigbe, O. S., Ejidokun, A. O., Afolabi, B. S., & Adagunodo, E. R. (2016a). The web analytics framework: an integrated user-centric evaluative tool. In Proceedings of International conference on transition from observation to knowledge to intelligence. University of Lagos.

4. Re-sculpturing Semantic Web of Things as a Strategy for Internet of Things’ Intrinsic Contradiction

5. Towards an on- Line Semantic Information Retrieval System based on Fuzzy Ontologies.;H.Baazaoui;Journal of Digital Information Management,2008

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