Logical-linguistic semantic in search engine

Users of search engines often have specific questions which they hope or believe a particular resource can answer. The problem, from the computer system’s perspective, is cognitive understanding of the contents in the source and finding the desired answer. Most of the search engines, with Google on...

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Main Authors:	Tengku Sembok, Tengku Mohd, Noordin, Mohamad Fauzan, Othman, Roslina, Abdul Kadir, Rabiah
Format:	Conference or Workshop Item
Language:	English
Published:	WSEAS 2012
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/24453/ http://irep.iium.edu.my/24453/ http://irep.iium.edu.my/24453/1/Logical-Linguistic_Semantic_in_Search_Engine.pdf

id	iium-24453
recordtype	eprints
spelling	iium-244532013-01-13T03:26:21Z http://irep.iium.edu.my/24453/ Logical-linguistic semantic in search engine Tengku Sembok, Tengku Mohd Noordin, Mohamad Fauzan Othman, Roslina Abdul Kadir, Rabiah QA75 Electronic computers. Computer science Users of search engines often have specific questions which they hope or believe a particular resource can answer. The problem, from the computer system’s perspective, is cognitive understanding of the contents in the source and finding the desired answer. Most of the search engines, with Google on the top, able to retrieve most likely relevant information based on a query. But not capable of providing answer to a question due to lack of deduction capability. In order to find a specific answer to a question, the engine needs to understand the information content and able to do deductive reasoning. Conventional information representation models used in the search engines rely on an extensive use of keywords and their frequencies in storing and retrieving information and other characteristic data on specific body of information. It is believed that we need new approaches for the development of future search engines which will be more effective. Semantic model is an alternative to conventional approach. We have proposed logical-linguistic model 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. 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 a 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. WSEAS 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/24453/1/Logical-Linguistic_Semantic_in_Search_Engine.pdf Tengku Sembok, Tengku Mohd and Noordin, Mohamad Fauzan and Othman, Roslina and Abdul Kadir, Rabiah (2012) Logical-linguistic semantic in search engine. In: 14th WSEAS Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS'12), 1-3 July 2012, Porto, Portugal. http://www.wseas.us/e-library/conferences/2012/Porto/MAMECTIS/MAMECTIS-38.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Tengku Sembok, Tengku Mohd Noordin, Mohamad Fauzan Othman, Roslina Abdul Kadir, Rabiah Logical-linguistic semantic in search engine
description	Users of search engines often have specific questions which they hope or believe a particular resource can answer. The problem, from the computer system’s perspective, is cognitive understanding of the contents in the source and finding the desired answer. Most of the search engines, with Google on the top, able to retrieve most likely relevant information based on a query. But not capable of providing answer to a question due to lack of deduction capability. In order to find a specific answer to a question, the engine needs to understand the information content and able to do deductive reasoning. Conventional information representation models used in the search engines rely on an extensive use of keywords and their frequencies in storing and retrieving information and other characteristic data on specific body of information. It is believed that we need new approaches for the development of future search engines which will be more effective. Semantic model is an alternative to conventional approach. We have proposed logical-linguistic model 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. 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 a 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	Conference or Workshop Item
author	Tengku Sembok, Tengku Mohd Noordin, Mohamad Fauzan Othman, Roslina Abdul Kadir, Rabiah
author_facet	Tengku Sembok, Tengku Mohd Noordin, Mohamad Fauzan Othman, Roslina Abdul Kadir, Rabiah
author_sort	Tengku Sembok, Tengku Mohd
title	Logical-linguistic semantic in search engine
title_short	Logical-linguistic semantic in search engine
title_full	Logical-linguistic semantic in search engine
title_fullStr	Logical-linguistic semantic in search engine
title_full_unstemmed	Logical-linguistic semantic in search engine
title_sort	logical-linguistic semantic in search engine
publisher	WSEAS
publishDate	2012
url	http://irep.iium.edu.my/24453/ http://irep.iium.edu.my/24453/ http://irep.iium.edu.my/24453/1/Logical-Linguistic_Semantic_in_Search_Engine.pdf
first_indexed	2023-09-18T20:36:39Z
last_indexed	2023-09-18T20:36:39Z
_version_	1777409091026550784

Logical-linguistic semantic in search engine

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