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Ontology is the basis of sharing and reusing knowledge on the Semantic Web, and ontology-based semantic retrieval is a hotspot of current research. Fuzzy ontology is an extension of domain ontology for solving the uncertainty problems. To represent fuzzy knowledge more effectively, this paper presents a new series of fuzzy ontology models that consists of(More)
—Information retrieval is the important work for Electronic Commerce. Ontology-based semantic retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieval, this paper applies a fuzzy ontology framework to information retrieval system in E-Commerce. The framework includes three parts: concepts, properties of concepts and values of(More)
Information integration develops toward semantic integration on the Semantic Web. Ontology facilitates the integration of heterogeneous data sources by resolving semantic heterogeneity among them. In this paper, we propose the system architecture of integrated information platform for digital city based on ontology, including three main layers: distributed(More)
Ontology-based semantic retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieval, this paper applies a fuzzy ontology framework to information retrieval system in e-commerce. The framework includes three parts: concepts, properties of concepts and values of properties, in which propertypsilas value can be linguistic values of(More)
Information retrieval is the essential task for traffic information service system in intelligent transportation systems (ITS). There a lot of fuzzy traffic information derived from human factor. To achieve fuzzy semantic retrieval, this paper proposes an approach using resource description framework (RDF) and fuzzy ontology. First, we apply RDF data model(More)
Ontology-based semantic information retrieval is a hotspot of current research. In order to achieve fuzzy semantic retrieval for scientific research information in WWW, this paper applies a fuzzy ontology framework to information retrieval system for university scientific research management. The framework includes three parts: concepts, properties of(More)
Ontology is adopted as a standard for knowledge representation on the semantic Web, and resource description framework (RDF) is used to add structure and meaning to Web applications. In order to incorporate fuzzy systems into the Semantic Web, this paper utilizes fuzzy ontology to represent formally the fuzzy linguistic variables, considering the semantic(More)
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