Aimed at the problem of the classical ontology cannot represent the imprecision and uncertainty information, firstly, the ambiguity and uncertainty of fuzzy information was analyzed, and the fuzzy concept relationship was expressed by using fuzzy membership function. And then, the user interest estimation based on behavior was studied in term of user’s learning preferences, and user profile was...

Engineering design is a knowledge-intensive process, how to organize, store and retrieve such knowledge constitutes the foundation of engineering design management. In this paper, a fuzzy ontology and its application to design management are presented. The fuzzy ontology with fuzzy concepts is an extension of the domain ontology with crisp concepts. It is more suitable to describe the domain kn...

Ontology has a powerful expressive ability on knowledge. In order to share and deal with the fuzzy knowledge on the semantic web, the linguistic variable ontology is proposed as the basis of the Flu Fuzzy Diagnosis System. After that, Protégé is introduced to build the fuzzy rule base. The paper concludes that linguistic variable ontology-based fuzzy diagnosis system can achieve the function of...

1. Preface Recently, the research on the ontology has been spread widely to be critical components in the knowledge management, Semantic Web, business-to-business applications, and several other application areas. In this article, I would like to introduce some applications of domain ontology presented by my research team in Taiwan, including“an ontology-based fuzzy image filter and its applica...

-Fuzzy ontologies are able to deal with imprecise and vague knowledge using fuzzy sets and its relations. Ontologies are currently emerging as a powerful knowledge representation technique on the semantic web. However, it doesn’t have an ability to represent the fuzzy information as well as the uncertainty. This survey aims at giving a brief and comprehensible overview of the research direction...

One of the challenges in information retrieval is providing accurate answers to a user’s question often expressed as uncertainty words. Most answers are based on a Syntactic approach rather than a Semantic analysis of the query. In this paper our objective is to present a hybrid approach for a Semantic question answering retrieval system using Ontology Similarity and Fuzzy logic. We use a Fuzzy...

Motivated by the increased need for formalized representations of the field of Data Mining and the successfull results of using Formal Concept Analysis (FCA) and Ontology, we introduce in this paper our contribution in order to support flexible query in large Database using FCA and Fuzzy Ontology. We first present our new approach for automatic generation of Fuzzy Ontology of Data Mining (FODM)...

Fuzzy ontology mapping is an important tool to solve the problem of interoperation among heterogeneous ontologies containing fuzzy information. At present, some researches have been done to expand existing mapping methods to deal with fuzzy ontology. However, these methods can not perform well when creating mappings among multiple fuzzy ontologies in a specific domain. To this end, this paper p...