Difference between revisions of "Automatic Extraction of Axioms from Wikipedia Using Sparql"

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{{Infobox work
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| title = Automatic Extraction of Axioms from Wikipedia Using Sparql
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| date = 2016
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| authors = [[Lara Haidar-Ahmad]]<br />[[Amal Zouaq]]<br />[[Amal Zouaq]]<br />[[Michel Gagnon]]
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| doi = 10.1007/978-3-319-47602-5_13
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| link = https://link.springer.com/content/pdf/10.1007%2F978-3-319-47602-5_13.pdf
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}}
 
'''Automatic Extraction of Axioms from Wikipedia Using Sparql''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Lara Haidar-Ahmad]], [[Amal Zouaq]], [[Amal Zouaq]] and [[Michel Gagnon]].
 
'''Automatic Extraction of Axioms from Wikipedia Using Sparql''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Lara Haidar-Ahmad]], [[Amal Zouaq]], [[Amal Zouaq]] and [[Michel Gagnon]].
  
 
== Overview ==
 
== Overview ==
 
Building rich axiomatic ontologies automatically is a step towards the realization of the Semantic Web. In this paper, authors describe an automatic approach to extract complex classes’ axioms from [[Wikipedia]] definitions based on recurring syntactic structures. The objective is to enrich [[DBpedia]] concept descriptions with formal definitions. Authors leverage RDF to build a sentence representation and SPARQL to model patterns and their transformations, thus easing the querying of syntactic structures and the reusability of the extracted patterns. Authors preliminary evaluation shows that authors obtain satisfying results, which will be further improved.
 
Building rich axiomatic ontologies automatically is a step towards the realization of the Semantic Web. In this paper, authors describe an automatic approach to extract complex classes’ axioms from [[Wikipedia]] definitions based on recurring syntactic structures. The objective is to enrich [[DBpedia]] concept descriptions with formal definitions. Authors leverage RDF to build a sentence representation and SPARQL to model patterns and their transformations, thus easing the querying of syntactic structures and the reusability of the extracted patterns. Authors preliminary evaluation shows that authors obtain satisfying results, which will be further improved.

Revision as of 07:31, 22 October 2020


Automatic Extraction of Axioms from Wikipedia Using Sparql
Authors
Lara Haidar-Ahmad
Amal Zouaq
Amal Zouaq
Michel Gagnon
Publication date
2016
DOI
10.1007/978-3-319-47602-5_13
Links
Original

Automatic Extraction of Axioms from Wikipedia Using Sparql - scientific work related to Wikipedia quality published in 2016, written by Lara Haidar-Ahmad, Amal Zouaq, Amal Zouaq and Michel Gagnon.

Overview

Building rich axiomatic ontologies automatically is a step towards the realization of the Semantic Web. In this paper, authors describe an automatic approach to extract complex classes’ axioms from Wikipedia definitions based on recurring syntactic structures. The objective is to enrich DBpedia concept descriptions with formal definitions. Authors leverage RDF to build a sentence representation and SPARQL to model patterns and their transformations, thus easing the querying of syntactic structures and the reusability of the extracted patterns. Authors preliminary evaluation shows that authors obtain satisfying results, which will be further improved.