Document retrieval using semantic approach / Mohamad Afif Ismail

As large amounts of digital information become more and more accessible, the ability to effectively find relevant information is increasingly important. Search engines have historically performed well at finding relevant information by relying primarily on lexical and word based measures. However, q...

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Bibliographic Details
Main Author:	Ismail, Mohamad Afif
Format:	Thesis
Language:	English
Published:	2010
Subjects:	Semantic Web Electronic information resource searching
Online Access:	https://ir.uitm.edu.my/id/eprint/64597/1/64597.pdf
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id	my-uitm-ir.64597
record_format	uketd_dc
spelling	my-uitm-ir.645972023-07-21T04:01:36Z Document retrieval using semantic approach / Mohamad Afif Ismail 2010 Ismail, Mohamad Afif Semantic Web Research. Information retrieval. Information behavior. Information literacy Electronic information resource searching As large amounts of digital information become more and more accessible, the ability to effectively find relevant information is increasingly important. Search engines have historically performed well at finding relevant information by relying primarily on lexical and word based measures. However, quite often these processes take place without respect to semantics, or word meanings. This is perhaps due to the fact that the idea of meaningful similarity is naturally qualitative, and thus difficult to integrate into quantitative processes. This project formally present a method for retrieving documents using semantic relations from WordNet database, which is designed to return document that have concept similarity with the user's query. This project show how semantic approach can be applied to document retrieval. Evaluation of the prototype being done used recall and precision method. The results conclude that while semantic is not well suited for precision of retrieval, the use of semantic approach can improve the number of document retrieved (recall). 2010 Thesis https://ir.uitm.edu.my/id/eprint/64597/ https://ir.uitm.edu.my/id/eprint/64597/1/64597.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Abd Rahman, Hayati
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abd Rahman, Hayati
topic	Semantic Web Semantic Web Electronic information resource searching
spellingShingle	Semantic Web Semantic Web Electronic information resource searching Ismail, Mohamad Afif Document retrieval using semantic approach / Mohamad Afif Ismail
description	As large amounts of digital information become more and more accessible, the ability to effectively find relevant information is increasingly important. Search engines have historically performed well at finding relevant information by relying primarily on lexical and word based measures. However, quite often these processes take place without respect to semantics, or word meanings. This is perhaps due to the fact that the idea of meaningful similarity is naturally qualitative, and thus difficult to integrate into quantitative processes. This project formally present a method for retrieving documents using semantic relations from WordNet database, which is designed to return document that have concept similarity with the user's query. This project show how semantic approach can be applied to document retrieval. Evaluation of the prototype being done used recall and precision method. The results conclude that while semantic is not well suited for precision of retrieval, the use of semantic approach can improve the number of document retrieved (recall).
format	Thesis
qualification_level	Bachelor degree
author	Ismail, Mohamad Afif
author_facet	Ismail, Mohamad Afif
author_sort	Ismail, Mohamad Afif
title	Document retrieval using semantic approach / Mohamad Afif Ismail
title_short	Document retrieval using semantic approach / Mohamad Afif Ismail
title_full	Document retrieval using semantic approach / Mohamad Afif Ismail
title_fullStr	Document retrieval using semantic approach / Mohamad Afif Ismail
title_full_unstemmed	Document retrieval using semantic approach / Mohamad Afif Ismail
title_sort	document retrieval using semantic approach / mohamad afif ismail
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/64597/1/64597.pdf
_version_	1783735495506788352

Document retrieval using semantic approach / Mohamad Afif Ismail

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