Notice of Violation of IEEE Publication PrinciplesAn Ontology Evolution Method Based on Folksonomy

Notice of Violation of IEEE Publication Principles

???An Ontology Evolution Method Based on Folksonomy???
by Shufeng Wang, Yanbin Zhuang, Zhixi Hu, Xianju Fei
in the Proceedings of the International Symposium on Computer, Consumer and Control (IS3C) June 2014, pp. 336-339

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE???s Publication Principles.

This paper duplicates original text and figures from the paper cited below. The original content was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

???Folksonomized Ontology and the 3E Steps Technique to Support Ontology Evolvement???
by Hugo Alves, Andre Santanche
in Web Semantics: Science, Services and Agents on the World Wide Web, 18, August 2012, pp. 19-30Folksonomies 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, i.e., 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 - Extrac- ion, 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.