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- 830 creator daniel-weld.
- 830 creator fei-wu.
- 830 type InProceedings.
- 830 label "Automatically Refining the Wikipedia Ontology".
- 830 sameAs 830.
- 830 abstract "The combined efforts of human volunteers have recently extracted numerous facts from Wikipedia, storing them as machine-harvestable object-attribute-value triples in Wikipedia infoboxes. Machine-learning systems, such as Kylin, use these infoboxes as training data, accurately extracting even more semantic knowledge from natural language text. But in order to realize the full power of this information, it must be situated in a cleanly-structured ontology. This paper introduces KOG, an autonomous system for refining Wikipedia’s ontology towards this end. We cast the problem of ontology refinement as a machine learning problem and solve it using both SVMs and a more powerful joint-inference approach expressed in Markov Logic Networks. We present experiments demonstrating the superiority of the joint-inference approach and evaluating other aspects of our system. Using these techniques, we build a rich ontology, integrating Wikipedia’s infobox-class schemata with WordNet. We demonstrate how the resulting ontology may be used to enhance Wikipedia with improved query processing and other features.".
- 830 hasAuthorList authorList.
- 830 hasTopic World_Wide_Web.
- 830 isPartOf proceedings.
- 830 keyword "Markov Logic Networks".
- 830 keyword "Ontology".
- 830 keyword "Semantic Web".
- 830 keyword "Wikipedia".
- 830 title "Automatically Refining the Wikipedia Ontology".