Difference between revisions of "Property Type Distribution in Wordnet, Corpora and Wikipedia"

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{{Infobox work
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| title = Property Type Distribution in Wordnet, Corpora and Wikipedia
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| date = 2015
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| authors = [[Eduard Barbu]]
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| doi = 10.1016/j.eswa.2014.11.070
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| link = https://dl.acm.org/citation.cfm?id=2937511
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}}
 
'''Property Type Distribution in Wordnet, Corpora and Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Eduard Barbu]].
 
'''Property Type Distribution in Wordnet, Corpora and Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2015, written by [[Eduard Barbu]].
  
 
== Overview ==
 
== Overview ==
 
Authors present a method to compute the distribution of properties in three resources.Other properties than taxonomic and parts can be learn from Wordnet glosses.Corpora should be mainly used for learning quality properties.[[Wikipedia]] should be used to extract logical statements than can be formalized in OWL. The [[ontology]] learning from text lacks an initial evaluation of the property types present in the resource used in the learning task. Authors need a way to explore the distribution of property types before the actual ontology learning process. In this paper authors propose three algorithms that help ontologists in the preliminary resource exploration. The algorithms are devised for Wordnet, generic corpora and Wikipedia. Minimal assumptions about the property types that can be extracted are made. The algorithms are tested with concepts belonging to five taxonomies. The distribution of property types for the extracted concepts is computed and reported.
 
Authors present a method to compute the distribution of properties in three resources.Other properties than taxonomic and parts can be learn from Wordnet glosses.Corpora should be mainly used for learning quality properties.[[Wikipedia]] should be used to extract logical statements than can be formalized in OWL. The [[ontology]] learning from text lacks an initial evaluation of the property types present in the resource used in the learning task. Authors need a way to explore the distribution of property types before the actual ontology learning process. In this paper authors propose three algorithms that help ontologists in the preliminary resource exploration. The algorithms are devised for Wordnet, generic corpora and Wikipedia. Minimal assumptions about the property types that can be extracted are made. The algorithms are tested with concepts belonging to five taxonomies. The distribution of property types for the extracted concepts is computed and reported.

Latest revision as of 20:43, 24 March 2020


Property Type Distribution in Wordnet, Corpora and Wikipedia
Authors
Eduard Barbu
Publication date
2015
DOI
10.1016/j.eswa.2014.11.070
Links
Original

Property Type Distribution in Wordnet, Corpora and Wikipedia - scientific work related to Wikipedia quality published in 2015, written by Eduard Barbu.

Overview

Authors present a method to compute the distribution of properties in three resources.Other properties than taxonomic and parts can be learn from Wordnet glosses.Corpora should be mainly used for learning quality properties.Wikipedia should be used to extract logical statements than can be formalized in OWL. The ontology learning from text lacks an initial evaluation of the property types present in the resource used in the learning task. Authors need a way to explore the distribution of property types before the actual ontology learning process. In this paper authors propose three algorithms that help ontologists in the preliminary resource exploration. The algorithms are devised for Wordnet, generic corpora and Wikipedia. Minimal assumptions about the property types that can be extracted are made. The algorithms are tested with concepts belonging to five taxonomies. The distribution of property types for the extracted concepts is computed and reported.