Automatic Generation of Ontology for Scholarly Semantic Web
Authors
Thanh Tho Quan1, Siu Cheung Hui1,A.C.M Fong1
and Tru Hoang Cao2
1 School of Computer Engineering, Nanyang Technological
University, Singapore
2 Faculty of Information Technology, Hochiminh City
University of Technology, Vietnam
Abstract
Semantic Web provides a knowledge-based environment that enables
information to be shared and retrieved effectively. In this research, we
propose the Scholarly Semantic Web for the sharing, reuse and management
of scholarly information. To support the Scholarly Semantic Web, we need
to construct ontology from data which is a tedious and difficult task. To
generate ontology automatically, Formal Concept Analysis (FCA) is an
effective technique that can formally abstract data as conceptual
structures. To enable FCA to deal with uncertainty in data and interpret
the concept hierarchy reasonably, we propose to incorporate fuzzy logic
into FCA for automatic generation of ontology. The proposed new framework
is known as Fuzzy Formal Concept Analysis (FFCA). In this paper, we will
discuss the Scholarly Semantic Web, and the ontology generation process
from the FFCA framework. In addition, the performance of the FFCA
framework for ontology generation will also be evaluated and presented.
Research Paper at the 3rd International Semantic Web
Conference (ISWC2004), 7-11 Nov. 2004, Hiroshima, Japan