CFP last date
20 June 2024
Reseach Article

Methodology for Semi-Automatic Ontology Construction using Ontology learning: A Survey

Published on March 2017 by Pradnya Gotmare
Emerging Trends in Computing
Foundation of Computer Science USA
ETC2016 - Number 2
March 2017
Authors: Pradnya Gotmare
c026e116-6cf5-4c04-bf90-6f15a53fe1cb

Pradnya Gotmare . Methodology for Semi-Automatic Ontology Construction using Ontology learning: A Survey. Emerging Trends in Computing. ETC2016, 2 (March 2017), 1-3.

@article{
author = { Pradnya Gotmare },
title = { Methodology for Semi-Automatic Ontology Construction using Ontology learning: A Survey },
journal = { Emerging Trends in Computing },
issue_date = { March 2017 },
volume = { ETC2016 },
number = { 2 },
month = { March },
year = { 2017 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/etc2016/number2/27306-6259/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 Emerging Trends in Computing
%A Pradnya Gotmare
%T Methodology for Semi-Automatic Ontology Construction using Ontology learning: A Survey
%J Emerging Trends in Computing
%@ 0975-8887
%V ETC2016
%N 2
%P 1-3
%D 2017
%I International Journal of Computer Applications
Abstract

Modern information system is moving from data processing towards concept processing. Semantic web Technologies offer a new approach to manage information and processes by adding meaning to the data. Ontology is a structure where knowledge about a particular domain is described by relevant concepts and relations between them. Ontology learning refers to the task of automatically creating ontology by extracting concepts and relationships from the given data set. Manual method of ontology construction is expensive and time consuming. So the aim of this research is to automate the process of ontology building by using the techniques of ontology learning . The various issues addressed regarding the automated learning include use of Semantic annotations and use of Controlled Language for Information Extraction (CLIE) which is a subset of natural language. Natural language processing and machine learning techniques can be useful in order to build ontologies in semiautomatic way.

References
  1. hard Jesus Gil Herrera , Maria Jose Martin- Bautista "A novel Process-based KMS success framework empowered by Ontology learning technology " Elsevier journal of Engineering applications of artificial intelligence Vol 45,295-312 , 2015
  2. Carlos Vicient, David Sanchez, Antonio Moreno, " An automatic approach for ontology-based feature extraction from heterogeneous texual resources ", Elsevier journal of Engineering applications of artificial intelligence Vol 26, 1092-1106,2013.
  3. EfstrationsKontopoulos , Christos Berberidis , TheologosDergiades ,Nick Bassiliades, " Ontology –based sentiment analysis of twitter posts " Elsevier journalExpert Systems with Applications Vol 40 ,4065-4074,2013
  4. HamedHassanzadeh and Mohammed Reza Keyvanpour ," A Machine Learning Based Analytical Framework for Semantic Annotation Requirement " International Journal of web & semantic Technology (IJWest ) Vol. 2, No. 2, April 2011 .
  5. A. Gyrard, "A machine-to-machine architecture to merge semantic sensor measurements," in Proceedings of the 22nd international conference on World Wide Web companion. International World Wide Web Conferences Steering Committee , pp. 371–376, 2014.
  6. A. Splendianiet al. , "Biomedical semantics in the Semantic Web," Journal of Biomedical Semantics, vol. 2, no. Suppl 1, pp. S1, 2011.
  7. A. Ruttenberget al. , "Advancing translational research with the Semantic Web," BMC Bioinformatics, vol. 8 Suppl 3, pp. S2, 2007.
  8. Hevner, A. R. , March, S. T. , Park, J. , and Ram, S. "Design Science in Information Systems Research," MIS quarterly (28:1), pp 75-105. 2004.
  9. Wilson Wong, Wei Liu , Mohammed Bennamoun, " Ontology Learning from Text : A look back and into the Future",ACM Computing Surveys, Vol 44, No 4, Article 20,Aug 2012
  10. Ian Horrocks , "DAML+OIL : A Description Logic for the semantic Web " , Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2002.
  11. Gomez-Perez A, Fernandez –Lopez M, Corcho O. " Ontological Engineering, Advanced Information and Knowledge Processing, Springer,2003
Index Terms

Computer Science
Information Sciences

Keywords

Semantic Web Technology Ontology Learning Natural Language Processing controlled Language Information Extraction (clie).