Communities and emerging semantics in semantic link network:discovery and learning

Zhuge, Hai (2009). Communities and emerging semantics in semantic link network:discovery and learning. IEEE Transactions on Knowledge and Data Engineering, 21 (3), pp. 785-799.

Abstract

The World Wide Web provides plentiful contents for Web-based learning, but its hyperlink-based architecture connects Web resources for browsing freely rather than for effective learning. To support effective learning, an e-learning system should be able to discover and make use of the semantic communities and the emerging semantic relations in a dynamic complex network of learning resources. Previous graph-based community discovery approaches are limited in ability to discover semantic communities. This paper first suggests the Semantic Link Network (SLN), a loosely coupled semantic data model that can semantically link resources and derive out implicit semantic links according to a set of relational reasoning rules. By studying the intrinsic relationship between semantic communities and the semantic space of SLN, approaches to discovering reasoning-constraint, rule-constraint, and classification-constraint semantic communities are proposed. Further, the approaches, principles, and strategies for discovering emerging semantics in dynamic SLNs are studied. The basic laws of the semantic link network motion are revealed for the first time. An e-learning environment incorporating the proposed approaches, principles, and strategies to support effective discovery and learning is suggested.

Publication DOI: https://doi.org/10.1109/TKDE.2008.141
Divisions: Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Computer science research group
Additional Information: © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: semantic link network,community discovery,semantic community,emerging semantics,e-learning,education,computer applications,Computational Theory and Mathematics,Information Systems,Computer Science Applications
Full Text Link: http://ieeexplo ... number=04564467
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2009-04-24
Authors: Zhuge, Hai

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