Merging of axiomatic definitions of concepts in the complex OWL ontologies
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- 作者：Muhammad Fahad
- 关键词：OWL ontology ; Axiomatic definitions ; Ontology mapping and merging ; Heterogeneity ; Interoperability
- 刊名：Artificial Intelligence Review
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：47
- 期：2
- 页码：181-215
- 全文大小：
- 刊物类别：Computer Science
- 刊物主题：Artificial Intelligence (incl. Robotics); Computer Science, general;
- 出版者：Springer Netherlands
- ISSN：1573-7462
- 卷排序：47
文摘
In the last decade, ontology matching and mapping research has shown a measurable progress. This topic draws substantial attention within the research community, though it is not fully researched so far and new complex and effective solutions are needed. Current works are limited in finding alignments or mappings between concepts of heterogeneous ontologies. But, once ontology mappings are found, then how they (or their class expressions) are to be integrated automatically is left open for the ontology merging research. This paper elaborates the mapping of class expressions of concepts and contributes an algorithm for their merging in an automatic ontology merging process without any human intervention. However, the challenge of mapping axiomatic definitions is the most difficult task for merging concept definitions of the source ontologies, but it reveals significant increase in precision and recall values. In addition, with the study of these algorithms, we conclude that ontology merging facilitates when one wants to get ontology with the better quality as the combined rich axioms are added in the merged ontology. We also discuss the results of our first successful participation in the Conference, OA4QA and Anatomy track of OAEI 2015.