scholarly journals Towards an Ontology Mapping Process for Business Process Composition

2008 ◽  
pp. 169-176 ◽  
Author(s):  
Célia Talma Martins ◽  
Américo Azevedo ◽  
H. Sofia Pinto ◽  
Eugénio Oliveira
Keyword(s):  
Business Process ◽  
Ontology Mapping ◽  
Mapping Process ◽  
Process Composition

Genetic Algorithm With Hill Climbing for Correspondences Discovery in Ontology Mapping

2019 ◽  
Vol 12 (4) ◽  
pp. 153-170 ◽  
Author(s):  
Guefrouchi Ryma ◽  
Kholladi Mohamed-Khireddine
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problem ◽  
Ontology Mapping ◽  
Hill Climbing ◽  
Computational Time ◽  
Mutation Operator ◽  
Mapping Process ◽  
The Hill

Meta-heuristics are used as a tool for ontology mapping process in order to improve their performance in mapping quality and computational time. In this article, ontology mapping is resolved as an optimization problem. It aims at optimizing correspondences discovery between similar concepts of source and target ontologies. For better guiding and accelerating the concepts correspondences discovery, the article proposes a meta-heuristic hybridization which incorporates the Hill Climbing method within the mutation operator in the genetic algorithm. For test concerns, syntactic and lexical similarities are used to validate correspondences in candidate mappings. The obtained results show the effectiveness of the proposition for improving mapping performances in quality and computational time even for large OAEI ontologies.

PLMflow—Dynamic Business Process Composition and Execution by Rule Inference

2002 ◽  
pp. 141-150 ◽  
Author(s):  
Liangzhao Zeng ◽  
David Flaxer ◽  
Henry Chang ◽  
Jun-Jang Jeng
Keyword(s):  
Business Process ◽  
Process Composition ◽  
Rule Inference
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