Mihály Héder
Pablo N. Mendes
ABSTRACT
We describe a tool kit to support a knowledge-enhancement cycle on the Web. In the first step, structured data which is extracted from Wikipedia is used to construct automatic content enhancement engines. Those engines can be used to interconnect knowledge in structured and unstructured information sources on the Web, including Wikipedia itself. Sztakipedia-toolbar is a MediaWiki user script which brings DBpedia Spotlight and other kinds of machine intelligence into the Wiki editor interface to provide enhancement suggestions to the user. The suggestions offered by the tool focus on complementing knowledge and increasing the availability of structured data on Wikipedia. This will, in turn, increase the available information for the content enhancement engines themselves, completing a virtuous cycle of knowledge enhancement.
- Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, and Sebastian Hellmann. DBpedia - A crystallization point for the Web of Data. Web Semantics: Science, Services and Agents on the World Wide Web, 7:154--165, September 2009. Google Scholar
Digital Library
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- M. Héder. Integrating artificial intelligence solutions into interfaces of online knowledge production. ICIC Express Letters, 5(12):4395--4401, 2011.Google Scholar
- Pablo N. Mendes, Max Jakob, Andrés García-Silva, and Christian Bizer. Dbpedia spotlight: Shedding light on the web of documents. In Proceedings of the 7th International Conference on Semantic Systems (I-Semantics), 2011. Google ScholarDigital Library
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- G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval* 1. Information processing & management, 24(5):513--523, 1988. Google ScholarDigital Library
Index Terms
- Round-trip semantics with sztakipedia and DBpedia spotlight
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