Volume 10, No 2, 2013
Intelligent interoperable application for employment exchange system using ontology
Kavidha Ayechetty and Saradha Arumugam
Abstract
Semantic web technologies have the potential to simplify heterogeneous data integration using explicit semantics. The paper proposes a framework for building intelligent interoperable application for employment exchange system by collaborating among distributed heterogeneous data models using semantic web technologies. The objective of the application development using semantic technologies is to provide a better inference for the query against dynamic collection of information in collaborating data models. The employment exchange system provides interface for the users to register their details thereby managing the knowledge base dynamically. Semantic server transforms the queries from the employer and jobseeker semantically for possible integration of the two heterogeneous data models to drive intelligent inference. The semantic agent reconcile the syntax and semantic conflicts exists among the contributing ontologies in different granularity levels and performs automatic integration of two source ontologies and gives better response to the user. The benefits of building interoperable application using semantic web are data sharing, reusing the knowledge, best query response, independent maintenance of the model, extending the application for extra features.
Pages: 1-18
Keywords: Interoperable application; distributed application integration; ontology integration; semantic integration; collaborative application; ontology mapping