A Survey of Semantic Similarity Methods for Ontology Based Information Retrieval

Authors:
K. Saruladha;G. Aghila;Sajina Raj
Affiliations:
-;-;-
Venue:
ICMLC '10 Proceedings of the 2010 Second International Conference on Machine Learning and Computing
Year:
2010

Citing 0
Cited 2

Ontology based semantic similarly ranking of documents

ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
Ranking Algorithm for Semantic Document Annotations

International Journal of Information Retrieval Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper discusses the various approaches used for identifying semantically similar concepts in an ontology. The purpose of this survey is to explore how these similarity computation methods could assist in ontology based query expansion. This query expansion method based on the similarity function is expected to improve the retrieval effectiveness of the ontology based Information retrieval models. Various similarity computation methods fall under three categories: Edge counting, information content and node based counting. The limitations of each of these approaches have been discussed in this paper.