Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Automatic acquisition of hyponyms from large text corpora
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Finding parts in very large corpora
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Machine Learning
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Autonomously semantifying wikipedia
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Automatically refining the wikipedia infobox ontology
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Deriving a large scale taxonomy from Wikipedia
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Distinguishing between instances and classes in the wikipedia taxonomy
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From information to knowledge: harvesting entities and relationships from web sources
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MENTA: inducing multilingual taxonomies from wikipedia
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
SBIA'10 Proceedings of the 20th Brazilian conference on Advances in artificial intelligence
Taxonomy induction based on a collaboratively built knowledge repository
Artificial Intelligence
Ontological parsing of encyclopedia information
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Collaboratively built semi-structured content and Artificial Intelligence: The story so far
Artificial Intelligence
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We present a taxonomy automatically generated from the system of categories in Wikipedia. Categories in the resource are identified as either classes or instances and included in a large subsumption, i.e. isa, hierarchy. The taxonomy is made available in RDFS format to the research community, e.g. for direct use within AI applications or to bootstrap the process of manual ontology creation.