This paper presents the similarity measurement algorithm for domain specific terms collected in the ontology based data integration system. This similarity measurement algorithm can be used in ontology mapping and query service of ontology based data integration system. In this paper, we focus on the web query service to apply this proposed algorithm. Concepts similarity is important for web query service because the words in user input query are not same wholly with the concepts in ontology. So, we need to extract the possible concepts that are match or related to the input words with the help of machine readable dictionary WordNet. Sometimes, we use the generated mapping rules in query generation procedure for some words that cannot be confirmed the similarity of these words by WordNet. We prove the effect of this algorithm with two degree semantic result of web mining by generating the concepts results obtained form the input query
%0 Journal Article
%1 noauthororeditor
%A Myint1, Zin Thu Thu
%A and Kay Khaing Win2,
%D 2014
%J International Journal of Information Technology, Modeling and Computing (IJITMC)
%K & Concepts Ontology Processing Query Semantic Similarity Triplets
%N 2
%P 01-08
%R 10.5121/ijitmc.2014.2204
%T CONCEPTUAL SIMILARITY MEASUREMENT ALGORITHM
FOR DOMAIN SPECIFIC ONTOLOGY
%U http://airccse.org/journal/ijitmc/papers/2214ijitmc04.pdf
%V 2
%X This paper presents the similarity measurement algorithm for domain specific terms collected in the ontology based data integration system. This similarity measurement algorithm can be used in ontology mapping and query service of ontology based data integration system. In this paper, we focus on the web query service to apply this proposed algorithm. Concepts similarity is important for web query service because the words in user input query are not same wholly with the concepts in ontology. So, we need to extract the possible concepts that are match or related to the input words with the help of machine readable dictionary WordNet. Sometimes, we use the generated mapping rules in query generation procedure for some words that cannot be confirmed the similarity of these words by WordNet. We prove the effect of this algorithm with two degree semantic result of web mining by generating the concepts results obtained form the input query
@article{noauthororeditor,
abstract = {This paper presents the similarity measurement algorithm for domain specific terms collected in the ontology based data integration system. This similarity measurement algorithm can be used in ontology mapping and query service of ontology based data integration system. In this paper, we focus on the web query service to apply this proposed algorithm. Concepts similarity is important for web query service because the words in user input query are not same wholly with the concepts in ontology. So, we need to extract the possible concepts that are match or related to the input words with the help of machine readable dictionary WordNet. Sometimes, we use the generated mapping rules in query generation procedure for some words that cannot be confirmed the similarity of these words by WordNet. We prove the effect of this algorithm with two degree semantic result of web mining by generating the concepts results obtained form the input query},
added-at = {2018-09-05T08:01:43.000+0200},
author = {Myint1, Zin Thu Thu and and Kay Khaing Win2},
biburl = {https://www.bibsonomy.org/bibtex/287ea58a878c28186312d95ecc0d540fc/alexafedrica},
doi = {10.5121/ijitmc.2014.2204},
interhash = {4c8e1b8a069f9aa5d67280359852f560},
intrahash = {87ea58a878c28186312d95ecc0d540fc},
journal = {International Journal of Information Technology, Modeling and Computing (IJITMC)},
keywords = {& Concepts Ontology Processing Query Semantic Similarity Triplets},
month = may,
number = 2,
pages = {01-08},
timestamp = {2018-09-05T08:01:43.000+0200},
title = {CONCEPTUAL SIMILARITY MEASUREMENT ALGORITHM
FOR DOMAIN SPECIFIC ONTOLOGY},
url = {http://airccse.org/journal/ijitmc/papers/2214ijitmc04.pdf},
volume = 2,
year = 2014
}