Information extraction in semantic wikis
|Information extraction in semantic wikis|
|Author(s)||Smrz P., Schmidt M.|
|Published in||CEUR Workshop Proceedings|
|Keyword(s)||Unknown (Extra: Content creation, Information Extraction, Information extraction technology, Knowledge management system, Knowledge-sharing platform, Semantic annotations, Semantic tags, Semantic Web technology, Semantic Wikis, Textual content, Information retrieval, Information retrieval systems, Knowledge based systems, Web services, Websites, Semantic Web)|
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This paper deals with information extraction technologies supporting semantic annotation and logical organization of textual content in semantic wikis. We describe our work in the context of the KiWi project which aims at developing a new knowledge management system motivated by the wiki way of collaborative content creation that is enhanced by the semantic web technology. The specific characteristics of semantic wikis as advanced community knowledge-sharing platforms are discussed from the perspective of the functionality providing automatic suggestions of semantic tags. We focus on the innovative aspects of the implemented methods. The interfaces of the user-interaction tools as well as the back-end web services are also tackled. We conclude that though there are many challenges related to the integration of information extraction into semantic wikis, this fusion brings valuable results.
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