Logico-linguistic semantic representation of documents

The knowledge behind the gigantic pool of data remains largely unextracted. Techniques such as ontology design, RDF representations, hpernym extraction, etc. have been used to represent the knowledge. However, the area of logic (FOPL) and linguistics (Semantics) has not been explored in depth for...

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Main Authors:	Wani, Sharyar, Wahiddin, Mohamed Ridza, Sembok, Tengku Mohd
Format:	Conference or Workshop Item
Language:	English English English
Published:	IEEE 2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/55248/ http://irep.iium.edu.my/55248/ http://irep.iium.edu.my/55248/ http://irep.iium.edu.my/55248/1/Logico-linguistic%20semantic%20representation%20of%20documents.pdf http://irep.iium.edu.my/55248/2/55248-TOC.pdf http://irep.iium.edu.my/55248/3/55248_title%20n%20copyright.pdf

id	iium-55248
recordtype	eprints
spelling	iium-552482017-10-12T06:48:53Z http://irep.iium.edu.my/55248/ Logico-linguistic semantic representation of documents Wani, Sharyar Wahiddin, Mohamed Ridza Sembok, Tengku Mohd QA75 Electronic computers. Computer science The knowledge behind the gigantic pool of data remains largely unextracted. Techniques such as ontology design, RDF representations, hpernym extraction, etc. have been used to represent the knowledge. However, the area of logic (FOPL) and linguistics (Semantics) has not been explored in depth for this purpose. Search engines suffer in extraction of specific answers to queries because of the absence of structured domain knowledge. The current paper deals with the design of formalism to extract and represent knowledge from the data in a consistent format. The application of logic and linguistics combined greatly eases and increases the precision of knowledge translation from natural language. The results clearly indicate the effectiveness of the knowledge extraction and representation methodology developed providing intelligence to machines for efficient analysis of data. The methodology helps machines to precise results in an efficient manner. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/55248/1/Logico-linguistic%20semantic%20representation%20of%20documents.pdf application/pdf en http://irep.iium.edu.my/55248/2/55248-TOC.pdf application/pdf en http://irep.iium.edu.my/55248/3/55248_title%20n%20copyright.pdf Wani, Sharyar and Wahiddin, Mohamed Ridza and Sembok, Tengku Mohd (2016) Logico-linguistic semantic representation of documents. In: 2nd International Conference on Big Data Intelligence and Computing (DataCom 2016), 8-10 Aug 2016, Auckland. http://ieeexplore.ieee.org DOI 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.135
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Wani, Sharyar Wahiddin, Mohamed Ridza Sembok, Tengku Mohd Logico-linguistic semantic representation of documents
description	The knowledge behind the gigantic pool of data remains largely unextracted. Techniques such as ontology design, RDF representations, hpernym extraction, etc. have been used to represent the knowledge. However, the area of logic (FOPL) and linguistics (Semantics) has not been explored in depth for this purpose. Search engines suffer in extraction of specific answers to queries because of the absence of structured domain knowledge. The current paper deals with the design of formalism to extract and represent knowledge from the data in a consistent format. The application of logic and linguistics combined greatly eases and increases the precision of knowledge translation from natural language. The results clearly indicate the effectiveness of the knowledge extraction and representation methodology developed providing intelligence to machines for efficient analysis of data. The methodology helps machines to precise results in an efficient manner.
format	Conference or Workshop Item
author	Wani, Sharyar Wahiddin, Mohamed Ridza Sembok, Tengku Mohd
author_facet	Wani, Sharyar Wahiddin, Mohamed Ridza Sembok, Tengku Mohd
author_sort	Wani, Sharyar
title	Logico-linguistic semantic representation of documents
title_short	Logico-linguistic semantic representation of documents
title_full	Logico-linguistic semantic representation of documents
title_fullStr	Logico-linguistic semantic representation of documents
title_full_unstemmed	Logico-linguistic semantic representation of documents
title_sort	logico-linguistic semantic representation of documents
publisher	IEEE
publishDate	2016
url	http://irep.iium.edu.my/55248/ http://irep.iium.edu.my/55248/ http://irep.iium.edu.my/55248/ http://irep.iium.edu.my/55248/1/Logico-linguistic%20semantic%20representation%20of%20documents.pdf http://irep.iium.edu.my/55248/2/55248-TOC.pdf http://irep.iium.edu.my/55248/3/55248_title%20n%20copyright.pdf
first_indexed	2023-09-18T21:18:06Z
last_indexed	2023-09-18T21:18:06Z
_version_	1777411698872811520

Logico-linguistic semantic representation of documents

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