Difference between revisions of "Bootstrapping Domain Ontologies from Wikipedia: a Uniform Approach"
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== Overview == | == Overview == | ||
Building ontologies is a difficult task requiring skills in logics and ontological analysis. Domain experts usually reach as far as organizing a set of concepts into a hierarchy in which the semantics of the relations is under-specified. The categorization of [[Wikipedia]] is a huge concept hierarchy of this form, covering a broad range of areas. Authors propose an automatic method for bootstrapping domain ontologies from the [[categories]] of Wikipedia. The method first selects a subset of concepts that are relevant for a given domain. The relevant concepts are subsequently split into classes and individuals, and, finally, the relations between the concepts are classified into subclass of, instance of, part of, and generic related to. Authors evaluate method by generating [[ontology]] skeletons for the domains of Computing and Music. The quality of the generated ontologies has been measured against manually built ground truth datasets of several hundred nodes. | Building ontologies is a difficult task requiring skills in logics and ontological analysis. Domain experts usually reach as far as organizing a set of concepts into a hierarchy in which the semantics of the relations is under-specified. The categorization of [[Wikipedia]] is a huge concept hierarchy of this form, covering a broad range of areas. Authors propose an automatic method for bootstrapping domain ontologies from the [[categories]] of Wikipedia. The method first selects a subset of concepts that are relevant for a given domain. The relevant concepts are subsequently split into classes and individuals, and, finally, the relations between the concepts are classified into subclass of, instance of, part of, and generic related to. Authors evaluate method by generating [[ontology]] skeletons for the domains of Computing and Music. The quality of the generated ontologies has been measured against manually built ground truth datasets of several hundred nodes. | ||
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+ | == Embed == | ||
+ | === Wikipedia Quality === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Mirylenka, Daniil; Passerini, Andrea; Serafini, Luciano. (2015). "[[Bootstrapping Domain Ontologies from Wikipedia: a Uniform Approach]]". AAAI Press. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === English Wikipedia === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | {{cite journal |last1=Mirylenka |first1=Daniil |last2=Passerini |first2=Andrea |last3=Serafini |first3=Luciano |title=Bootstrapping Domain Ontologies from Wikipedia: a Uniform Approach |date=2015 |url=https://wikipediaquality.com/wiki/Bootstrapping_Domain_Ontologies_from_Wikipedia:_a_Uniform_Approach |journal=AAAI Press}} | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === HTML === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Mirylenka, Daniil; Passerini, Andrea; Serafini, Luciano. (2015). &quot;<a href="https://wikipediaquality.com/wiki/Bootstrapping_Domain_Ontologies_from_Wikipedia:_a_Uniform_Approach">Bootstrapping Domain Ontologies from Wikipedia: a Uniform Approach</a>&quot;. AAAI Press. | ||
+ | </nowiki> | ||
+ | </code> |
Revision as of 10:09, 7 July 2020
Authors | Daniil Mirylenka Andrea Passerini Luciano Serafini |
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Publication date | 2015 |
Links | Original |
Bootstrapping Domain Ontologies from Wikipedia: a Uniform Approach - scientific work related to Wikipedia quality published in 2015, written by Daniil Mirylenka, Andrea Passerini and Luciano Serafini.
Overview
Building ontologies is a difficult task requiring skills in logics and ontological analysis. Domain experts usually reach as far as organizing a set of concepts into a hierarchy in which the semantics of the relations is under-specified. The categorization of Wikipedia is a huge concept hierarchy of this form, covering a broad range of areas. Authors propose an automatic method for bootstrapping domain ontologies from the categories of Wikipedia. The method first selects a subset of concepts that are relevant for a given domain. The relevant concepts are subsequently split into classes and individuals, and, finally, the relations between the concepts are classified into subclass of, instance of, part of, and generic related to. Authors evaluate method by generating ontology skeletons for the domains of Computing and Music. The quality of the generated ontologies has been measured against manually built ground truth datasets of several hundred nodes.
Embed
Wikipedia Quality
Mirylenka, Daniil; Passerini, Andrea; Serafini, Luciano. (2015). "[[Bootstrapping Domain Ontologies from Wikipedia: a Uniform Approach]]". AAAI Press.
English Wikipedia
{{cite journal |last1=Mirylenka |first1=Daniil |last2=Passerini |first2=Andrea |last3=Serafini |first3=Luciano |title=Bootstrapping Domain Ontologies from Wikipedia: a Uniform Approach |date=2015 |url=https://wikipediaquality.com/wiki/Bootstrapping_Domain_Ontologies_from_Wikipedia:_a_Uniform_Approach |journal=AAAI Press}}
HTML
Mirylenka, Daniil; Passerini, Andrea; Serafini, Luciano. (2015). "<a href="https://wikipediaquality.com/wiki/Bootstrapping_Domain_Ontologies_from_Wikipedia:_a_Uniform_Approach">Bootstrapping Domain Ontologies from Wikipedia: a Uniform Approach</a>". AAAI Press.