DocumentCode :
121633
Title :
Analysis of ontology matching system and their countermeasures
Author :
Rana, Vijay ; Singh, Gagan
Author_Institution :
Punjab Tech. Univ., Jalandhar, India
fYear :
2014
fDate :
7-8 Feb. 2014
Firstpage :
83
Lastpage :
88
Abstract :
A new paradigm in intelligent system research focuses on the enhancement of a new era of intelligent-based obstacle amelioration technique, which can develop the enormous amounts of formally precise information obtainable on the system, to fabricate novel intelligent functionalities such ontology matching. It is envisioned that ontology matching will play a central role in the processing, sharing and reuse of knowledge among web applications. The emerging of ontology matching focuses on bringing knowledge representation capabilities to the web. It is one of the emerging research areas in artificial intelligent community and has high potential for research. This work also elaborates the complicatedness that occurs among matching systems. These issues must be addressed so that ontology matching tool can share and collaboratively to exploit heterogeneous knowledge in a scalable way.
Keywords :
Internet; ontologies (artificial intelligence); Web applications; artificial intelligent community; heterogeneous knowledge; intelligent functionalities; intelligent system research; intelligent-based obstacle amelioration technique; knowledge processing; knowledge representation capabilities; knowledge reuse; knowledge sharing; ontology matching system analysis; Decision support systems; OWL; Ontologies; Resource description framework; Semantics; Unified modeling language; DDSim. Semantic Web; Ontology Matching; Ontology Matching System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Issues and Challenges in Intelligent Computing Techniques (ICICT), 2014 International Conference on
Conference_Location :
Ghaziabad
Type :
conf
DOI :
10.1109/ICICICT.2014.6781257
Filename :
6781257
Link To Document :
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