Wikulu – Self-Organizing Wikis
Self-Organizing Wiki Cycle
The Self-Organizing Wiki cycle can be summarized as a set of interactions involving different players as follows:
- User: in the Wikulu project, the user can be seen either as a consumer or as a contributor of information:
- the consumer seeks to find and read information
- the contributor wants to add content or pages
- Wiki: Wiki content emerges as the result of the users' editing operation
- the Wikulu framework is plattform independent to be applicable to any wiki system, such as MediaWiki, Twiki , Socialtext, JotSpot, Confluence..
- WikiMining: In many situation, a wiki page's text alone is insufficient input for the decisions that need to be taken during the self-organization of a wiki. Thus, we are going to apply Wiki Mining techniques to gain more structured input data. The field of Wiki-mining can be divided into:
- Structure mining: mine knowledge from the graph structure of interlinked wiki entries.
- Content mining: deduce meaning from the information that can be found in wiki entries.
- Usage mining: use information from a wiki's revision and access logs.
- Natural Language Processing (NLP): NLP technologies are used to classify the content intro different categories, to automatically link relevant parts of it as well as to map new inputs to existing content.
- Intelligent User Interfaces will be implemented to seamlessly integrate the suggestions made by the NLP techniques into the user's ongoing work, for example
- users can be directed to the wiki's content relevant to their needs
- contributors of information can be directed to similar content, so as to insert their contribution in the right location.