期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2012
卷号：40
期号：1
页码：089-097
出版社：Journal of Theoretical and Applied
摘要：Wiki is well-known content management systems. Semantic wikis extends the classical wikis with semantic annotations that made its contents more structured. Tabular representations of information have a considerable value, especially in wikis which are rich in content and contain large amount of information. For this reason, we propose an approach for automatically generating tables for representing the semantic data contained in wiki articles. The proposed approach composed of three steps (1) extract the semantic data of Typed Links and Attributes from the wiki articles and call them Article Properties (2) cluster the collection of wiki articles based on extracted properties from the first step, and (3) construct the table that aggregates the shared properties between articles and present them in two-dimensions. The proposed approach is based on a simple heuristic which is the number of properties that are shared between wiki articles.
关键词：Clustering; Semantic wikis; Resemblance Metric Wiki
