Difference between revisions of "Automatic Extraction of Axioms from Wikipedia Using Sparql"
(Creating a new page - Automatic Extraction of Axioms from Wikipedia Using Sparql) |
(+ links) |
||
| Line 1: | Line 1: | ||
| − | '''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 13:09, 5 January 2020
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.
