CFP last date
20 May 2024
Reseach Article

Using Hash based Bucket Algorithm to Select Online Ontologies for Ontology Engineering through Reuse

by Nadia Imdadi, Dr. S.A.M. Rizvi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Number 7
Year of Publication: 2011
Authors: Nadia Imdadi, Dr. S.A.M. Rizvi
10.5120/3400-4732

Nadia Imdadi, Dr. S.A.M. Rizvi . Using Hash based Bucket Algorithm to Select Online Ontologies for Ontology Engineering through Reuse. International Journal of Computer Applications. 28, 7 ( August 2011), 21-25. DOI=10.5120/3400-4732

@article{ 10.5120/3400-4732,
author = { Nadia Imdadi, Dr. S.A.M. Rizvi },
title = { Using Hash based Bucket Algorithm to Select Online Ontologies for Ontology Engineering through Reuse },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 28 },
number = { 7 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 21-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume28/number7/3400-4732/ },
doi = { 10.5120/3400-4732 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:14:08.498677+05:30
%A Nadia Imdadi
%A Dr. S.A.M. Rizvi
%T Using Hash based Bucket Algorithm to Select Online Ontologies for Ontology Engineering through Reuse
%J International Journal of Computer Applications
%@ 0975-8887
%V 28
%N 7
%P 21-25
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Semantic web has added a new layer called the knowledge representation layer over the web that may be used to describe a resource on the web. Schemas of domains are represented in machine processable languages known as the ontologies over the semantic web. Construction of ontologies for the semantic web has become a relevant research issue. Ontology engineering has been focus of research in the field of AI since the 70’s and with the rising number of ontologies on the web; it should be convenient to reuse these ontologies to build newer ones. In this paper a hash based bucket algorithm is presented for identification of relevant online ontologies, to create ontology that will represent a domain without having to go through building of ontology from the scratch thereby reducing the time, efforts and costs of ontology engineering.

References
  1. www.w3.org/2004/OWL/, W3C, Web Ontology Language (OWL).
  2. www.w3.org/, W3C, World Wide Web Consortium
  3. Vanessa, L., Motta, E., and Victoria U. 2006. Poweraqua: Fishing the Semantic Web.
  4. Zhu, L., Yang, Q., and Chen, Wei. 2009. Research on Ontology Intergration Combined with Machine Learning. IEEE.
  5. Imdadi, N. and Rizvi, S.A..M. 2010. Framework for Automatic Reuse of Existing Online Semantic Resources by Facilitating Concept Extraction Using Word Sense Disambiguation in Computational Linguistics Techniques. Conf. Proceedings SWWS.
  6. Imdadi, N. and Rizvi, S.A..M. 2010. Automating Reuse of Semantic Repositories in the Context of Semantic Web. 2010. (CCIS) Springer.
  7. Harith A. 2006. Position paper: ontology construction from online ontologies. WWW.
  8. Imdadi, N. and Rizvi, S.A..M. 2008. Framework for Automatic Semantic Integration of Semantic Repositories. Conf. Proceedings SEEC.
  9. Lushan, H., Finin, T., Yesha, Y. 2009. Finding Appropriate Semantic Web Ontology. ISWC.
  10. WordNet, http://wordnet.princeton.edu/
  11. Ding, L., Finin, T., Joshi, A., Pan, R., Cost R. S., Peng, Y., Reddivari, P., Doshi, V., and Sachs, J. 2004. Swoogle: a search and metadata engine for the semantic web. In Proceedings of the thirteenth ACM international conference on Information and knowledge management. ACM.
  12. Fielding, R.T., Architectural Styles and the Design of Network-based Software Architectures, PhD dissertation Spector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender
  13. Aufaure, M., Grand, B. L., Soto, M., Bennacer, N. 2005. Metadata- and Ontology-Based Semantic Web Mining. Idea Group Publication.
  14. Noy, F.N. 2004. Semantic Integration: Survey on Ontology Based Approaches, SIGMOD Record
  15. Michalski, R.S., Stepp, R. 1983. Learning from Observation: Conceptual Clustering. Chapter In Book Machine Learning: An Artificial Approach. Tioga Publishing Co.
  16. Valentina, A.M.T. Pepijn, R.S.V. Donato, M. and Dean M. J. 1999. Computer Assisted Ontology clustering for Knowledge Sharing.
Index Terms

Computer Science
Information Sciences

Keywords

OWL Ontologies Hash-based Bucket Algorithm Ontology Engineering