Ontology plays an essential role in the formalization of business information (e.g., products, services, relationships of businesses) for effective human-computer interactions. However, engineering of domain ontologies turns out to be very labor intensive and time consuming. Recently, some machine learning methods have been proposed for automatic discovery of domain ontologies. Nevertheless, th...

In this paper we investigate the problem of enriching an existing biological concept ontology into a fuzzy relational ontology structure using generic biological relations and their strengths mined from tagged biological text documents. Though biological relations in a text are defined between a pair of entities, the entities are usually tagged by their concept names in a tagged corpus. Since t...

This work proposes a framework for the design and development of Ontology Agents oriented to manage Rule Base Fuzzy Cognitive Maps (RBFCM). The approach takes into account the foundations of the Ontology Agents and the baseline of the Fuzzy Cognitive Maps depicted by Rule Bases. With these underlying elements, a specification of a conceptualization about the modeled domain is outcome. Moreover,...

The volume of obstacles encountered in the marine environment is rapidly increasing, which makes the development of collision avoidance systems more challenging. Several fuzzy ontology-based simulators have been proposed to provide a virtual platform for the analysis of maritime missions. However, due to the simulators’ limitations, ontologybased knowledge cannot be utilized to evaluate maritim...

Construction of the unified and shared domain ontology is significant for effective knowledge management. For the acquisition and sharing of scientific research knowledge under Web2.0, a novel approach of building Interval Valued Fuzzy Ontology (IVFO) in scientific research domain is presented. Through interval valued fuzzy theory, the definition and constructing framework of IVFO is proposed. ...

Knowledge mobilisation is a transition from the prevailing knowledge management technology to some innovative methods for knowledge representation, formation and development and for knowledge retrieval and distribution. Knowledge mobilisation also carries the connotation on “knowledge on mobile phones” and this is actually one of the platforms that will be used. Fuzzy ontology replaces classica...

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...

Ontology mapping tools do not have common input requirements. The domain ontology model of ebusiness is built combined with knowledge of domain expert , and original ontology model of the UNSPSC (United Nations Standard Products and Services Classification Code) by way of core ontology in order to enhance system robustness and antinoise. The method of conceptual similarity in electronic commerc...

Ontology consistency has been shown to be undecidable for a wide variety of fairly inexpressive fuzzy Description Logics (DLs). In particular, for any t-norm “starting with” the Lukasiewicz t-norm, consistency of crisp ontologies (w.r.t. witnessed models) is undecidable in any fuzzy DL with conjunction, existential restrictions, and (residual) negation. In this paper we show that for any t-norm...

0965-9978/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.advengsoft.2008.10.006 * Corresponding author. Address: College of Com neering, Hohai University, China. E-mail address: lixinhan2002@yahoo.com.cn (L. H With the rapid development of personalized information retrieval, user profile plays an important role. In this paper, we propose a fuzzy clustering method of construction of ontol...