원문정보
초록
영어
Ontology alignment finds matching elements from different ontologies. A number of ontology alignment techniques have been proposed. But few of them are adaptive to fuzzy ontologies alignment. A key problem is that formulas for computing similarity between elements from precise ontologies can’t be directly applied to those elements from fuzzy ontologies. In this paper, we exploit WordNet to compute similarity between two words. And Inspired by formula for computing similarity between two formal concepts from concept lattice, we propose an effective similarity formula for computing similarity between classes from different fuzzy ontologies. Also, we present an algorithm which is global optimal for aligning fuzzy ontologies. A prototype is implemented and the experiment shows that our approach is worthy.
목차
1. Introduction
2. Related Work
3. Fuzzy Ontology and Fuzzy Concept Lattice
3.1. Fuzzy Ontology
3.2. Fuzzy Concept Lattice
3.3. Mapping between FO and FCL
4. Similarity Computing between Fuzzy Classes
4.1. Semantic Similarity between Two Words
4.2. Semantic Similarity between Two Fuzzy Formal Concepts
5. Alignment Algorithm for Fuzzy Ontologies
6. Implementation of Prototype and Experiment
6.1. Implementation of Prototype for our Approach
6.2 Experiments with Prototype
7. Conclusion and Future Work
Acknowledgements
References