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 properties, in which property’s value ...

This work introduces an OWL-based upper ontology, called OWL-FC (Ontology Web Language for Fuzzy Control), capable to support a semantic definition of Fuzzy Control. It focuses on the fuzzy rules representation by providing domain independent ontology, supporting interoperability and favoring domain ontologies re-usability. The main contribution is that OWL-FC exploits Fuzzy Logic in OWL to mod...

This paper addresses the problem of modeling and automated recognition of complex behavior patterns in video sequences. We introduce a new concept of Fuzzy Semantic Petri Nets (FSPN) and discuss their application to recognition of video events. FSPN are Petri nets coupled with an underlying fuzzy ontology. The ontology stores assertions (facts) concerning classification of objects and detected ...

Ontologies have proved to be very useful in sharing concepts across applications in an unambiguous way. Nowadays, in ontology-based applications information is often vague and imprecise. This is a well-known problem especially for semantics-based applications, such as e-commerce, knowledge management, web portals, etc. In computer-aided reasoning, the predominant paradigm to manage vague knowle...

Ontology-based information retrieval is a key component of the Semantic Web. However current “crisp” ontologoies suffer from issues related to disambiguation of text terms and lack of domain knowledge necessary for effective query refinement. The fuzzy ontology approach is designed to allow personalised and group ontologies to be shared and collaboratively developed within the framework of exis...

Ontology is increasingly important in knowledge management and Semantic Web. The problem of it is that the construction of ontology is a time-consuming job and ontology engineers need to spend much time to maintain it. In this paper, we propose an incremental domain ontology learning method. This method can effectively extract new information from new domain documents to update the schema of do...

Ontology represents relationships among set of terms and concepts in hierarchical fashion. Ontology plays crucial role in formulization of information related to given domain. Understanding these ontologies without having sufficient knowledge of ontology editors is like working on project without knowing its requirements. Traditional text mining methods and aero-text systems for extracting key ...

The ontology-based information systems (IS) development is beneficial for analyzing, conceptual modeling, designing, and re-engineering complex IS to be semantically enriched suitable sophisticated reasoning on the content. On other hand, fuzzy theory employment handle uncertainty fuzziness in becomes a hot topic different practical domains, such as engineering, IS, computer sciences, etc. As s...

Abstract. This paper presents a new ontology mapping method between a source ontology and a target one considered as a reference. Both ontologies are composed of triplets of the form (object, characteristic, value). Values describing the objects of the reference ontology are hierarchically organized using the a kind of relation. The proposed method considers the ontology mapping problem as a ru...