We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Entity-based Semantic Association Ranking on the Semantic Web

by S. Narayana, S. Sivaleela, A. Govardhan, G. P. S. Varma
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 20
Year of Publication: 2013
Authors: S. Narayana, S. Sivaleela, A. Govardhan, G. P. S. Varma
10.5120/12091-8339

S. Narayana, S. Sivaleela, A. Govardhan, G. P. S. Varma . Entity-based Semantic Association Ranking on the Semantic Web. International Journal of Computer Applications. 69, 20 ( May 2013), 42-46. DOI=10.5120/12091-8339

@article{ 10.5120/12091-8339,
author = { S. Narayana, S. Sivaleela, A. Govardhan, G. P. S. Varma },
title = { Entity-based Semantic Association Ranking on the Semantic Web },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 20 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 42-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number20/12091-8339/ },
doi = { 10.5120/12091-8339 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:51.787073+05:30
%A S. Narayana
%A S. Sivaleela
%A A. Govardhan
%A G. P. S. Varma
%T Entity-based Semantic Association Ranking on the Semantic Web
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 20
%P 42-46
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The major focus of today's search engines is efficient retrieval of relevant documents from the web. Recently Semantic Web has received greater interest in industry and academia and retrieving relevant information over huge amounts of Semantic Meta data is becoming popular. In particular discovering and ranking complex relationships between two entities over Semantic Meta data became a challenging research topic. Semantic Associations capture complex relationships between two entities in an RDF knowledge base. Given two entities, there exist a huge number of Semantic Associations between entities. Moreover these associations pass through one more intermediate entity. Hence ranking of associations is required in order to get relevant associations. This paper proposes an approach to discover and rank Semantic Associations between two entities based on the user interest. User interest is captured by selecting one or more entities from the user interface. The effectiveness of the ranking method is demonstrated using Spearman Foot rule coefficient. The results show that the proposed ranking is highly correlated with human ranking.

References
  1. Berners-Lee T, Hendler J, Lassila O (2001) The Semantic Web: a new form of web content that is meaningful to computers will unleash a evolution of new possibilities. Sci Am 285(5):34–43. doi:10. 1038/scientificamerican1101-34.
  2. Anyanwu, K. Sheth A. ?-operator: Discovering and Ranking Semantic Associations on the Semantic Web, ACM SIGMOD Record, v. 31 n. 4, December 2002.
  3. Aleman-Meza B, Halaschek C, Arpinar IB Sheth A (2005): Ranking Complex Relationships on the Semantic Web. IEEE Internet Computing 9(3); 37-44. Doi:10. 1109/MIC. 200. 63.
  4. V Viswanathan, K Ilango: Ranking semantic relationships between two entities using personalization in contest specification. Informain Sciences, Elsevier, 207 (2012) 35-49
  5. Shariatmadari S, Mamat A, Ibrahim H, Mustapha N (2008) SwSim:Discovering semantic similarity association in semantic web. Pro. Of International Symposium on IT Sim 1-4.
  6. O. Lassila and R. Swick. Resource Description Framework (RDF) Model and Syntax Specification, W3C Recommendation. 1999.
  7. K. Anyanwu, A. Maduko, A. Sheth, SemRank: ranking complex relationship search results on the Semantic Web, in: Proc. of the 14th International World Wide Web Conference, ACM Press, 2005, pp. 117–127.
  8. D. Brickley and R. V. Guha. Resource Description Framework (RDF) Schema Specification 1. 0, W3C Candidate Recommendation. 2000.
  9. SWETO: Semantic Web Technology Evaluation Ontology:http:/lsdis. cs. uga. edu/projects/SemDis/Sweto.
  10. P. Diaconis, R. Graham, Spearman's footrule as a measure of disarray, Journal of the Royal Statistical Society Series B 39 (2) (1977) 262–268.
  11. M. Lee, W. Kim, Semantic association search and rank method based on spreading activation for the Semantic Web, in: IEEE International Conference on Industrial Engineering and Engineering Management, 2009, pp. 1523–1527.
  12. M. Lee, W. Kim, S. Park, Searching and ranking method of relevant resources by user intention on the Semantic Web, Expert Systems with Applications 39 (2012) 4111–4121.
  13. S Narayana, A. Govardhan, G. P. S. Varma, Discovering and Ranking Semantic Associations on the Semantic web, International Journal of Computer Science and Management Research, Vol 1 Issue 5 December 2012, pp. 1092-1102.
  14. A. Maedche, S. Staab, N. Stojanovic, R. Studer, Y. Sure, Semantic PortAL-The SEAL approach, in: D. Fensel, J. Hendler, H. Lieberman, W. Wahlster (Eds. ), Creating the Semantic Web, MIT Press, MA, Cambridge, 2001.
  15. A. Pretschner, S. Gauch, Ontology based personalized search, in: Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence, 1999, pp. 391–398.
  16. N. Stojanovic, R. Studer, L. Stojanovic, An approach for the ranking of query results in the Semantic Web, in: Proc. 2nd International Semantic Web Conference, Sanibel Island, Florida, 2003, pp. 500–516.
Index Terms

Computer Science
Information Sciences

Keywords

Semantic Web Semantic Association Complex relationship RDF Ontology

Powered by PhDFocusTM