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

页码：151 / 155

页数：5

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