@article{Saruladha2010d,
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.},
author = {Saruladha, K and Aghila, Gnanasekaran and Raj, Sajina},
doi = {10.1109/ICMLC.2010.63},
isbn = {978-1-4244-6006-9},
journal = {2010 Second International Conference on Machine Learning and Computing},
keywords = {-ontology,Ontology,SML-LIB-BIBLIO,Semantic Similarity,concept ual similarity,conducted to evaluate them,corpus based,finally how do,information retrieval,is discussed,lang:ENG,on the experiments,similarity computation methods based,similarity method,taxonomy},
mendeley-tags = {SML-LIB-BIBLIO,Semantic Similarity,lang:ENG},
pages = {297--301},
publisher = {Ieee},
title = {{A Survey of Semantic Similarity Methods for Ontology Based Information Retrieval}},
url = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=5460722},
year = {2010}
}