Dealing with fuzzy ontology integration problem by using constraint satisfaction problem
Xuan Hung Quach, Thi Lan Giao Hoang · International Journal of Advanced Computer Research · 2017
In distributed knowledge systems, there always exists information heterogeneity which is necessarily addressed when the system is required to exchange, share or reuse either information or data.Ontology has been considered as the cornerstone of the knowledge-based information system.Thus, in order to use and deploy this system, multi-ontology integration is a crucial task.However, it is indeed a complicated issue because of the information heterogeneity as well as diversified structures.Knowledge integration is a process in which the inconsistency of knowledge from different sources is consolidated to provide a knowledge unity.Recent studies on ontology integration are conducted with different levels: ontology matching, ontology alignment, ontology merges, ontology mapping.The concept of ontology integration is defined as [1]: given n ontologies , ontology integration is to find out a new ontology O* best from ones.