TasTicWiki: A semantic wiki with content recommendation
|TasTicWiki: A semantic wiki with content recommendation|
|Author(s)||Ruiz-Montiel M., Molina-Castro J.J., Aldana-Montes J.F.|
|Published in||CEUR Workshop Proceedings|
|Keyword(s)||Ontologies, Recommender systems, Semantic wikis (Extra: Amount of information, Collaborative knowledge, Content recommendations, Enhanced navigation, Personalized recommendation, Semantic information, Semantic markup, Semantic wiki, Semantic Wikis, Web technologies, Ontology, Recommender systems, Search engines, Websites, Semantic Web)|
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TasTicWiki: A semantic wiki with content recommendation is a 2010 conference paper written in English by Ruiz-Montiel M., Molina-Castro J.J., Aldana-Montes J.F. and published in CEUR Workshop Proceedings.
Wikis are a great tool inside the Social Web, as they provide the chance of creating collaborative knowledge in a quick way. Semantic wikis are becoming popular as Web technologies evolve: ontologies and semantic markup on the Web allow the generation of machine-readable information. Semantic wikis are often seen as small semantic webs as they provide support for enhanced navigation and searching of their contents, just what the standards of the Semantic Web aim to offer. Moreover, the great amount of information normally present inside wikis, or any web page, creates the necessity of some kind of filtering or personalized recommendation in order to lighten the search of interesting items. We have developed TasTicWiki, a novel semantic wiki engine which takes advantage of semantic information in order, not only to enhance navigation and searching, but also to provide recommendation services.
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