Paper Info
Title
Approach for Instance-Based Ontology Alignment: Using Argument and Event Structures of Generative Lexicon.
Abstract
Ontology alignment became a very important problem to ensure semantic interoperability for different sources of information heterogeneous and distributed. Instance-based ontology alignment represents a very promising technique to find semantic correspondences between entities of different ontologies when they contain a lot of instances. In this paper, we describe a new approach to manage ontologies that do not share common instances. This approach extracts the argument and event structures from a set of instances of the concept of the source ontology and compared them with other semantic features extracted from a set of instances of the concept of the target ontology using Generative Lexicon Theory. We show that it is theoretically powerful because it is based on linguistic semantics and useful in practice. We present the experimental results obtained by running our approach on Biblio test of Benchmark1 series of OAEI2 2011. The results show the good performance of our approach.
Year
DOI
Venue
2014
10.1007/978-3-319-13674-5_12
Communications in Computer and Information Science
Keywords
Field
DocType
Instance-Based Ontology Alignment,Generative Lexicon Theory,Ontology Matching,Semantic Interoperability,Semantic Web
Ontology (information science),Ontology,Ontology alignment,Data mining,Information retrieval,Computer science,Semantic Web,Semantic interoperability,Generative lexicon,Artificial intelligence,Natural language processing,Semantics
Conference
Volume
ISSN
Citations 
478
1865-0929
0
PageRank 
References 
Authors
0.34
10
2
Name
Order
Citations
PageRank
Abderrahmane Khiat1135.75
Moussa Benaissa284.59