SwetoDblp ontology of computer science publications

被引:40
作者
Aleman-Meza, Boanerges [1 ]
Hakimpour, Farshad
Arpinar, I. Budak
Sheth, Amit P.
机构
[1] Univ Georgia, Dept Comp Sci, LSDIS Lab, Athens, GA 30602 USA
[2] Wright State Univ, Coll Engn & Comp Sci, Knoesis Ctr, Dayton, OH 45435 USA
来源
JOURNAL OF WEB SEMANTICS | 2007年 / 5卷 / 03期
关键词
ontology; semantic analytics; RDF; XML; ontology population;
D O I
10.1016/j.websem.2007.03.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
SwetoDblp is a large populated ontology with a shallow schema yet a large number of real-world instance data. We describe how such ontology is built from an XML source and how it can be maintained. Instead of a one-to-one mapping from XML to RDF, the creation of the ontology emphasizes the addition of relationships and the value of URIs. SwetoDblp is publicly available online. We also summarize research efforts that have used or are using this freely available community resource. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:151 / 155
页数:5
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