INFORMATION CHANGE THE WORLD

International Journal of Information Engineering and Electronic Business(IJIEEB)

ISSN: 2074-9023 (Print), ISSN: 2074-9031 (Online)

Published By: MECS Press

IJIEEB Vol.9, No.1, Jan. 2017

Common-Sense Word Semantics using Dictionary Based Approach – An Early Model for Semantic Knowledge Processing

Full Text (PDF, 435KB), PP.20-27


Views:69   Downloads:1

Author(s)

Rashmi S, Hanumanthappa M

Index Terms

Common – Sense Word Semantics;Natural Language;Pragmatics;Predicate Logic;Rule-based classifier;Semantics model;Subject-Verb-Object format

Abstract

Knowledge processing is the prime area of information retrieval in the current era. However knowledge is subjected to the meaning of discretion in any natural language. Intelligent search in various Natural Languages is required in the huge repository of information available online. Language is the integral part for any form of communication but the language has to be meaningful. Semantics is a field of linguistics that deals with the meaning of the linguistic expressions through discovery of knowledge. In this research paper, the dictionary based approach for semantics is studied and implemented. The dictionary based proposal relies on the formalization of sentence across SVO (Subject-Verb-Object) format. Rule-based classifier helps to define the rules that are checked against the dictionary which contains sequence of Subject, Verbs and Object available in English Language. By looking at the accuracy measures, recall and precision the results obtained by the proposed approach is proven good. 

Cite This Paper

Rashmi S, Hanumanthappa M,"Common-Sense Word Semantics using Dictionary Based Approach – An Early Model for Semantic Knowledge Processing", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.9, No.1, pp.20-27, 2017. DOI: 10.5815/ijieeb.2017.01.03

Reference

[1]Kruse, P.M., Naujoks, A., Roesner, D., Kunze, M.: Clever search: A wordnet based wrapper for internet search engines. In: Proceedings of the 2nd GermaNet Workshop. (2005)

[2]Jiang Huiping, "Information Retrieval and the semantic web" International Conference on Educational and Information Technology (ICEIT), 2010 DOI:10.1109/ICEIT.2010.5607549 Publisher:IEEE 

[3]Yuri Gurevich, \Foundational Analyses of Computation", in How the World Com- putes (eds. S. Barry Cooper et al.), Turing Centennial Conference, Springer LNCS 7318 (2012)

[4]Yinghui Huang, "Rough Ontology Based Semantic Information Retrieval", Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on (Volume:1 )Date of Conference: 28-29 Oct. 2013 DOI:10.1109/ISCID.2013.23 Publisher:IEEE

[5]Wang Yong-gui, "Research on semantic Web mining", International Conference on Computer Design and Applications (ICCDA), 2010 (Volume:1) DOI: 10.1109/ICCDA.2010.5541057 Publisher: IEEE

[6]Semantics and Pragmatics 2 , University of Chicago, Winter 2011, Handout 1

[7]LIN1180 Semantics, Stavros Assimakopoulos by by Albert Gatt, Lecture Notes 2012

[8]Yongyang Xu, "Research on semantics of entity space similarity measure based on artificial neural networks" International Conference on Geoinformatics, 2015 DOI: 10.1109/GEOINFORMATICS.2015.7378707 Publisher: IEEE

[9]Yi Jin, The Research of Search Engine Based on Semantic Web", International Symposium on Intelligent Information Technology Application Workshops, 2008 DOI: 10.1109/IITA.Workshops.2008.193 Publisher: IEEE

[10]Masao Yokota, " Aware computing guided by Lmdexpression and direct knowledge in spatial language understanding", 2011 3rd International Conference on Awareness Science and Technology (iCAST), DOI: 10.1109/ICAwST.2011.6163164 Publisher: IEEE 

[11]Guanghui Yang,Junkang Feng,"Database Semantic Interoperability based on Information Flow Theory and Formal Concept Analysis", IJITCS, vol.4, no.7, pp.33-42, 2012. 

[12]Zahia Marouf, Sidi Mohamed Benslimane,"An Integrated Approach to Drive Ontological Structure from Folksonomie", IJITCS, vol.6, no.12, pp.35-45, 2014 DOI: 10.5815/ijitcs.2014.12.05

[13]Kavitha, A., Rajkumar, N., and Victor, S.P., An Integrated Approach for Measuring Semantic Similarity Between Words and Sentences Using Web Search Engine. The International Journal of Information Technology & Computer Science (IJITCS), 9(3), 68-78.2013 

[14]Djuana, E., Xu, Y., Li, Y., Learning Personalized Tag Ontology from User Tagging Information. Conferences in Research and Practice in Information Technology (CRPIT), Australia, 2012.

[15]Radziah Mohamad, "Similarity algorithm for evaluating the coverage of domain ontology for semantic Web services", International conference on Software Engineering Conference (MySEC), 2014, DOI: 10.1109/MySec.2014.6986012 Publisher: IEEE