Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Introduction to algorithms
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Information Retrieval
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Ontology-Driven Web Services Composition Platform
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)
Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond)
GAOM: Genetic Algorithm Based Ontology Matching
APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
Knowledge provision with intelligent e-services: Research Articles
International Journal of Intelligent Systems
A Graph-Based Algorithm for Alignment of OWL Ontologies
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Memetic Algorithms for Feature Selection in Face Recognition
HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
Diet assessment based on type-2 fuzzy ontology and fuzzy markupl language
International Journal of Intelligent Systems - New Trends for Ontology-Based Knowledge Discovery
A string metric for ontology alignment
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
A tutorial for competent memetic algorithms: model, taxonomy, and design issues
IEEE Transactions on Evolutionary Computation
A hybrid fuzzy intelligent agent-based system for stock price prediction
International Journal of Intelligent Systems
Optimizing ontology alignment through Memetic Algorithm based on Partial Reference Alignment
Expert Systems with Applications: An International Journal
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Ontologies are recognized as a fundamental component for enabling interoperability across heterogeneous systems and applications. Indeed, they try to fit a common understanding of concepts in a particular domain of interest to support the exchange of information among people, artificial agents, and distributed applications. Unfortunately, because of human subjectivity, various ontologies related to the same application domain may use different terms for the same meaning or may use the same term to mean different things, raising the so-called heterogeneity problem. The ontology alignment process tries to solve this semantic gap by individuating a collection of similar entities belonging to different ontologies and enabling a full comprehension among different actors involved in a given knowledge exchanging. However, the complexity of the alignment task, especially for large ontologies, requires an automated and effective support for computing high-quality alignments. The aim of this paper is to propose a memetic algorithm to perform an efficient matching process capable of computing a suboptimal alignment between two ontologies. As shown by experiments, the memetic approach is more suitable for ontology alignment problem than a classical evolutionary technique such as genetic algorithms. © 2012 Wiley Periodicals, Inc. © 2012 Wiley Periodicals, Inc.