an ontology evolution method based on folksonomy英文.pdf

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Journal of Applied Research
and Technology
Journal of Applied Research and Technology 13 (2015) 177-187
Original
An ontology evolution method based on folksonomy
Shufeng Wang*, Wen Wang, Yanbin Zhuang, Xianju Fei
School of Computer Information Engineer, Changzhou Institute of Technology, Changzhou, Jiangsu, . China
Received 19 April 2014; accepted 18 August 2014
Abstract
Folksonomies are increasingly adopted in web systems. These “social taxonomies”, which emerge from collaborative tagging, contrast with the
formalism and the systematic creation process applied to ontologies. However, they can play complementary roles, as the knowledge systematically
formalized in ontologies by a restricted group can be enriched by the implicit knowledge collaboratively produced by a much wider group. Existing
initiatives that involve folksonomies and ontologies are often unidirectional, ., ontologies improve tag operations or tags are used to automatically
create ontologies. We propose a new fusion approach in which the semantics travels in both directions from folksonomies to ontologies and vice
versa. The result of this fusion is our Folksonomized Ontology (FO). In this paper, we present our 3E Steps technique (Extraction, Enrichment, and
Evolution), which explores the latent semantics of a given folksonomy (expressed in a FO) to support ontology review and enhancement. It was
implemented and tested in a visual review/enhancement tool.
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