Automatic Ontology Construction

Author:

Arora Amita1

Affiliation:

1. J. C. Bose University of Science and Technology, India

Abstract

World wide web has information resources even on unthinkable subjects. This information may be available instantly to anyone having Internet connection. This web is growing exponentially, and it is becoming difficult to locate useful information in such a sheer volume of information. Semantic web extends the current web by emphasizing on interoperable ontologies which are capable of processing high quality information so that the agents placed on top of semantic web can automate the work or curate the content for the user. In this chapter, an extensive research in the area of ontology construction is presented, and after having a critical look over the work done in this field and considering the limitation of each, it has been observed that constructing ontology automatically is a challenging task as this task faces difficulties due to unstructured text and ambiguities in English text. In this work an ontology generation technique is devised covering all important aspects missing in the existing works giving better performance as compared to another system.

Publisher

IGI Global

Reference40 articles.

1. Ontology Construction from Text: Challenges and Trends.;A. A.-S.Abeer Al-Arfaj;International Journal of Artificial Intelligence and Expert Systems,2015

2. Abinaya, C. &. (2013). Semi-Automatic Ontology Merging of Domain Specific Ontologies. International Journal of Science and Research.

3. Alani, H. (2006). Position Paper: Ontology Construction from Online Ontologies. WWW2006.

4. Simple Method for Ontology Automatic Extraction from Documents

5. LexOnt: A Semi-Automatic Ontology Creation Tool for Programmable Web.;K.Arabshian;AAAI Spring Symposium: Intelligent Web Services Meet Social Computing,2012

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