A unified logical-linguistic indexing for search engines and question answering

Conventional information representation models used in the search engines rely on an extensive use of keywords and their frequencies in storing and retrieving information. It is believed that such an approach has reached its upper limit of retrieval effectiveness, and therefore, new approaches sh...

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Main Authors:	Tengku Sembok, Tengku Mohd, Kadir, Rabiah
Format:	Article
Language:	English
Published:	NAUN 2013
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/28285/ http://irep.iium.edu.my/28285/ http://irep.iium.edu.my/28285/1/TMTS_Rabiah_2013.pdf

id	iium-28285
recordtype	eprints
spelling	iium-282852013-02-13T16:43:58Z http://irep.iium.edu.my/28285/ A unified logical-linguistic indexing for search engines and question answering Tengku Sembok, Tengku Mohd Kadir, Rabiah QA76 Computer software Conventional information representation models used in the search engines rely on an extensive use of keywords and their frequencies in storing and retrieving information. It is believed that such an approach has reached its upper limit of retrieval effectiveness, and therefore, new approaches should be investigated for the development of future engines which will be more effective. Logical-linguistic model is an alternative to conventional approach where logic and linguistic formalism are used in providing mechanism for computer to understand the contents of the source and deduce answers to questions. The capability of deduction is much depended on the knowledge representation framework used. We propose a unified logical-linguistic model as knowledge representation framework as a basis for indexing of documents as well as deduction capability to provide answers to queries. The approach applies semantic analysis in transforming and normalising information from natural language texts into a declarative knowledge based representation of first order predicate logic. Retrieval of relevant information can then be performed through plausible logical implication and answer to query is carried out using theorem proving technique. This paper elaborates on the model and how it is used in search engine and question answering system as one unified model. NAUN 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/28285/1/TMTS_Rabiah_2013.pdf Tengku Sembok, Tengku Mohd and Kadir, Rabiah (2013) A unified logical-linguistic indexing for search engines and question answering. International Journal of Mathematical Models and Methods in Applied Sciences, 7 (1). pp. 22-29. ISSN 1998-0140 http://www.naun.org/wseas/cms.action?id=5358
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Tengku Sembok, Tengku Mohd Kadir, Rabiah A unified logical-linguistic indexing for search engines and question answering
description	Conventional information representation models used in the search engines rely on an extensive use of keywords and their frequencies in storing and retrieving information. It is believed that such an approach has reached its upper limit of retrieval effectiveness, and therefore, new approaches should be investigated for the development of future engines which will be more effective. Logical-linguistic model is an alternative to conventional approach where logic and linguistic formalism are used in providing mechanism for computer to understand the contents of the source and deduce answers to questions. The capability of deduction is much depended on the knowledge representation framework used. We propose a unified logical-linguistic model as knowledge representation framework as a basis for indexing of documents as well as deduction capability to provide answers to queries. The approach applies semantic analysis in transforming and normalising information from natural language texts into a declarative knowledge based representation of first order predicate logic. Retrieval of relevant information can then be performed through plausible logical implication and answer to query is carried out using theorem proving technique. This paper elaborates on the model and how it is used in search engine and question answering system as one unified model.
format	Article
author	Tengku Sembok, Tengku Mohd Kadir, Rabiah
author_facet	Tengku Sembok, Tengku Mohd Kadir, Rabiah
author_sort	Tengku Sembok, Tengku Mohd
title	A unified logical-linguistic indexing for search engines and question answering
title_short	A unified logical-linguistic indexing for search engines and question answering
title_full	A unified logical-linguistic indexing for search engines and question answering
title_fullStr	A unified logical-linguistic indexing for search engines and question answering
title_full_unstemmed	A unified logical-linguistic indexing for search engines and question answering
title_sort	unified logical-linguistic indexing for search engines and question answering
publisher	NAUN
publishDate	2013
url	http://irep.iium.edu.my/28285/ http://irep.iium.edu.my/28285/ http://irep.iium.edu.my/28285/1/TMTS_Rabiah_2013.pdf
first_indexed	2023-09-18T20:41:47Z
last_indexed	2023-09-18T20:41:47Z
_version_	1777409413257101312

A unified logical-linguistic indexing for search engines and question answering

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