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Ontology based Domain Specific Web Search Engine

Daksh Agrawal1 , Hirali Sanghani2 , Sonali Jadhav3 , Supriya Shinde4

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-4 , Page no. 12-15, Apr-2015

Online published on May 04, 2015

Copyright © Daksh Agrawal, Hirali Sanghani, Sonali Jadhav , Supriya Shinde . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Daksh Agrawal, Hirali Sanghani, Sonali Jadhav , Supriya Shinde, “Ontology based Domain Specific Web Search Engine,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.4, pp.12-15, 2015.

MLA Style Citation: Daksh Agrawal, Hirali Sanghani, Sonali Jadhav , Supriya Shinde "Ontology based Domain Specific Web Search Engine." International Journal of Computer Sciences and Engineering 3.4 (2015): 12-15.

APA Style Citation: Daksh Agrawal, Hirali Sanghani, Sonali Jadhav , Supriya Shinde, (2015). Ontology based Domain Specific Web Search Engine. International Journal of Computer Sciences and Engineering, 3(4), 12-15.

BibTex Style Citation:
@article{Agrawal_2015,
author = {Daksh Agrawal, Hirali Sanghani, Sonali Jadhav , Supriya Shinde},
title = {Ontology based Domain Specific Web Search Engine},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2015},
volume = {3},
Issue = {4},
month = {4},
year = {2015},
issn = {2347-2693},
pages = {12-15},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=452},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=452
TI - Ontology based Domain Specific Web Search Engine
T2 - International Journal of Computer Sciences and Engineering
AU - Daksh Agrawal, Hirali Sanghani, Sonali Jadhav , Supriya Shinde
PY - 2015
DA - 2015/05/04
PB - IJCSE, Indore, INDIA
SP - 12-15
IS - 4
VL - 3
SN - 2347-2693
ER -

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Abstract

Most of the existing search engines retrieve web pages by means of finding exact keywords. Traditional keyword-based search engines suffer several problems. First, synonyms and terms similar to keywords are not taken into consideration to search web pages. Users may need to input several similar keywords individually to complete a search [1]. Second, traditional search engines treat all the keywords as the same importance and cannot differentiate the importance of one keyword from that of another. Third, traditional search engines lack an applicable classification mechanism to reduce the search space and improve the search results. In this system, we develop a Semantic Search Engine. First, a fuzzy ontology is constructed by using fuzzy logic to capture the similarities of terms in the ontology, which offering appropriate semantic distances between terms to accomplish the semantic search of keywords. Second, users can check or uncheck the pages results based on their needs to show or hide it next time they search it. The totally satisfactory degree of keyword scam be aggregated based on their degrees of importance and degrees of satisfaction [2] [3]. Third, the domain classification of web pages offers users to select the appropriate domain for searching web pages, which excludes web pages in the inappropriate domains to reduce the search space and to improve the search results.

Key-Words / Index Term

Information retrieval, Clustering, Semantic Web, Fuzzy ontology

References

[1] Lien-Fu Lai, Chao-Chin Wu, Pei-Ying Lin, “Developing a Fuzzy Search Engine Based on Fuzzy Ontology and Semantic Search”. Dept. of Computer Science and Information Engineering National Changhua University of Education Changhua, R.O.C.
[2] en.wikipedia.org/wiki/Web_Ontology_Language
[3] en.wikipedia.org/wiki/Semantic_search
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