Ontology extraction for E-Learning — A fuzzy based approach

Abstract

An increasing number of ontology extraction based on domain knowledge are adopted in E-learning. It is critical that domain ontologies cannot sufficiently handle imprecise and vague knowledge, but fuzzy ontology can effectively resolve data with uncertainty. This paper proposes novel fuzzy domain ontology acquisition algorithm for E-Learning application. The knowledge construction mechanism constructs fuzzy concept and relation based on concepts. We have then proposed our design for extracting concepts from heterogeneous text documents.

A Hybrid Approach Using Ontology Similarity and Fuzzy Logic for Semantic Question Answering

“…Ontologies basically describe a formal conceptualization of a domain of interest. Fuzzy Ontology [6] can help in understanding semantic relationships by applying fuzzy logic to deal with the vagueness of data. Fuzzy type-1 can deal with crisp membership, whereas Fuzzy type-2 deals with fuzziness of fuzzy membership (See Table 1).…”