Scientific Ontology Construction Based on Interval Valued Fuzzy Theory Under Web 2.0

Abstract

<p class="Abstract"><span lang="EN-US">Constructi</span><span lang="EN-US">on of</span><span lang="EN-US"> 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 (<a name="OLE_LINK1"></a><a name="OLE_LINK2">IVFO</a>) in scientific research domain is presented. Through interval valued fuzzy theory, the definition and constructing framework of IVFO is proposed. Then IVFO is applied to semi-automatic extraction of information retrieval research domain. The preliminary constructing of research domain ontology is an essential base for the knowledge management system of scientific research. It can be effective methods for enhancing the efficiency and productivity of researching.</span><span lang="EN-US"> </span></p

A high-level electrical energy ontology with weighted attributes

“…Hence, fuzzy domain ontologies have also been proposed and exploited in several applications. Examples of fuzzy ontology proposals include the ontology in [9] for medical information retrieval, that in [10] for news summarization, and the one in [11] for the acquisition and share of scientific information on the Web.…”

The Methodology for Ontology Development in Lesson Plan Domain

“…Ontology is widely used for knowledge representation in artificial intelligence, information retrieval and semantic web [15]. Ontology provides a common understanding of specific domains and is also expressed as a formal representation of knowledge by a set of concepts within a domain and the relationship between these concepts [18].…”