A Framework for Ontology Integration and Evaluation
Yanhui Lv, Chong Xie
Abstract
Yanhui Lv, Chong Xie
Abstract
Ontology, as a representation of shared conceptualization of specific domain, is a key technology for the Semantic Web. In recent years, many ontologies have been developed and many of these ontologies contain overlapping information. To be able to use multiple ontologies we need a flexible mechanism to integrate ontologies. In this paper we present a framework for ontology integration which combines ontology similarity measures and ontology integration algorithm. After integrating, we perform pruning and checking the consistency of the integrated ontology. Further, we evaluate our approach in terms of ontology quality.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Ontology, as a representation of shared conceptualization of specific domain, is a key technology for the Semantic Web. In recent years, many ontologies have been developed and many of these ontologies contain overlapping information. To be able to use multiple ontologies we need a flexible mechanism to integrate ontologies. In this paper we present a framework for ontology integration which combines ontology similarity measures and ontology integration algorithm. After integrating, we perform pruning and checking the consistency of the integrated ontology. Further, we evaluate our approach in terms of ontology quality.
Key concepts: Ontology-based data integration, Computer science, Ontology, Process ontology, Upper ontology, Ontology alignment, Ontology components, Information retrieval