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Logico-linguistic semantic representation of documents

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.

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Abstract

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.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 3760/55248
Uncontrolled Keywords: Knowledge representation, knowledge translation, knowledge extraction, logic, linguistics, semantics, logico-linguistic formalism, Al-Qur'an
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Azizah A Rahman
Date Deposited: 02 Feb 2017 17:35
Last Modified: 12 Oct 2017 14:48
URI: http://irep.iium.edu.my/id/eprint/55248

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