Automatic Extraction of Axioms from Wikipedia Using SPARQL

被引：1
|
作者：
Haidar-Ahmad, Lara [1 ]
Zouaq, Amal [1 ,2 ]
Gagnon, Michel [1 ]
机构：
[1] Ecole Polytech, Dept Comp & Software Engn, Montreal, PQ, Canada
[2] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON, Canada
来源：
SEMANTIC WEB, ESWC 2016 | 2016年 / 9989卷
关键词：
D O I：
10.1007/978-3-319-47602-5_13
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Building rich axiomatic ontologies automatically is a step towards the realization of the Semantic Web. In this paper, we 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. We 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. Our preliminary evaluation shows that we obtain satisfying results, which will be further improved.
引用
收藏
页码：60 / 64
页数：5
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