An initial analysis of semantic wikis

Authors:
Yolanda Gil;Angela Knight;Kevin Zhang;Larry Zhang;Ricky Sethi
Affiliations:
University of Southern California, Marina del Rey, CA, USA;Harvard-Westlake School, Los Angeles, CA, USA;Harvard-Westlake School, Los Angeles, CA, USA;Harvard-Westlake School, Los Angeles, CA, USA;University of Southern California, Marina del Rey, California, USA
Venue:
Proceedings of the companion publication of the 2013 international conference on Intelligent user interfaces companion
Year:
2013

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Abstract

Semantic wikis augment wikis with semantic properties that can be used to aggregate and query data through reasoning. Semantic wikis are used by many communities, for widely varying purposes such as organizing genomic knowledge, coding software, and tracking environmental data. Although wikis have been analyzed extensively, there has been no published analysis of the use of semantic wikis. We carried out an initial analysis of twenty semantic wikis selected for their diverse characteristics and content. Based on the number of property edits per contributor, we identified several patterns to characterize community behaviors that are common to groups of wikis.