An ontology-based approach for semantics ranking of the web search engines results
Abstract
This work falls in the areas of information retrieval and semantic web, and aims to improve the evaluation of web search tools. Indeed, the huge number of information on the web as well as the growth of new inexperienced users creates new challenges for information retrieval; certainly the current search engines (such as Google, Bing and Yahoo) offer an efficient way to browse the web content. However, this type of tool does not take into account the semantic driven by the query terms and document words. This paper proposes a new semantic based approach for the evaluation of information retrieval systems; the goal is to increase the selectivity of search tools and to improve how these tools are evaluated. The test of the proposed approach for the evaluation of search engines has proved its applicability to real search tools. The results showed that semantic evaluation is a promising way to improve the performance and behavior of search engines as well as the relevance of the results that they return.
Keywords
Cite
@article{arxiv.1212.2587,
title = {An ontology-based approach for semantics ranking of the web search engines results},
author = {Abdelkrim Bouramoul and Mohamed-Khireddine Kholladi and Bich-Liên Doan},
journal= {arXiv preprint arXiv:1212.2587},
year = {2012}
}
Comments
6 pages, 5 figures, appears in: (ICMCS), 2012 International Conference on Multimedia Computing and Systems, Print ISBN: 978-1-4673-1518-0