An Effective Approach to Fuzzy Ontologies Alignment
نویسندگان
چکیده
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.
منابع مشابه
Uncertainty in the Automation of Ontology Matching
The exchange of information between two agents over the Semantic Web requires a means of translating between the “vocabularies” of the agents. Much research has focused on the use of ontologies for specifying an agent’s knowledge and for exchanging information between agents. Effective communication between agents using different ontologies, however, requires determining the semantic interopera...
متن کاملA Framework for a Fuzzy Matching between Multiple Domain Ontologies
The paper proposes an alignment framework for a set of domain ontologies in order to enable their interoperability in a number of information retrieval tasks. The procedure starts by anchoring the domain ontologies concepts to the concepts of a generic reference ontology. This allows the representation of each domain concept as a fuzzy set of reference concepts or instances. Next, the domain co...
متن کاملUsing MathML to Represent Units of Measurement for Improved Ontology Alignment
Ontologies provide a formal description of concepts and their relationships in a knowledge domain. The goal of ontology alignment is to identify semantically matching concepts and relationships across independently developed ontologies that purport to describe the same knowledge. In order to handle the widest possible class of ontologies, many alignment algorithms rely on terminological and str...
متن کاملOntology Alignment Architecture for Semantic Sensor Web Integration
Sensor networks are a concept that has become very popular in data acquisition and processing for multiple applications in different fields such as industrial, medicine, home automation, environmental detection, etc. Today, with the proliferation of small communication devices with sensors that collect environmental data, semantic Web technologies are becoming closely related with sensor networ...
متن کاملImproving the Accuracy of Ontology Alignment through Ensemble Fuzzy Clustering
Automatic ontology alignment tools perform matching between the concepts of two ontologies and provide a similarity measure for each pair of aligned concepts. However, none of the existing tools are perfect and multiple alignment tools produce varying similarity measures for a certain alignment. Also, the similarity measures provided by an alignment may not be helpful enough for indicating the ...
متن کامل