An automatic approach for generating tables in semantic wikis
|An automatic approach for generating tables in semantic wikis|
|Author(s)||Al-Husain L., El-Masri S.|
|Published in||Journal of Theoretical and Applied Information Technology|
|Keyword(s)||Clustering, Resemblance Metric Wiki, Semantic wikis (Extra: Amount of information, Clustering, Content management system, Resemblance Metric Wiki, Semantic annotations, Semantic data, Semantic Wikis, Typed links, Websites, Semantics)|
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An automatic approach for generating tables in semantic wikis is a 2012 journal article written in English by Al-Husain L., El-Masri S. and published in Journal of Theoretical and Applied Information Technology.
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. © 2005 - 2012 JATIT & LLS. All rights reserved.
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