Fuzzy Web Data Tables Integration Guided by an Ontological and Terminological Resource

被引:27
作者
Buche, Patrice [1 ,2 ]
Dibie-Barthelemy, Juliette [3 ,4 ]
Ibanescu, Liliana [3 ,4 ]
Soler, Lydie [3 ,4 ]
机构
[1] INRA, Joint Res Unit, IATE, F-34060 Montpellier, France
[2] LIRMM, GraphIK 2, F-34060 Montpellier 02, France
[3] INRA Met Risk, F-75231 Paris 05, France
[4] AgroParisTech, F-75231 Paris 05, France
关键词
Knowledge and data engineering tools and techniques; XML/XSL/RDF; uncertainty; fuzzy; and probabilistic reasoning; representations; data structures; and transforms; knowledge modeling; DRIVEN; ANNOTATION; SEMANTICS; IMPRECISE; MODEL;
D O I
10.1109/TKDE.2011.245
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we present the design of ONDINE system which allows the loading and the querying of a data warehouse opened on the Web, guided by an Ontological and Terminological Resource (OTR). The data warehouse, composed of data tables extracted from Web documents, has been built to supplement existing local data sources. First, we present the main steps of our semiautomatic method to annotate data tables driven by an OTR. The output of this method is an XML/RDF data warehouse composed of XML documents representing data tables with their fuzzy RDF annotations. We then present our flexible querying system which allows the local data sources and the data warehouse to be simultaneously and uniformly queried, using the OTR. This system relies on SPARQL and allows approximate answers to be retrieved by comparing preferences expressed as fuzzy sets with fuzzy RDF annotations.
引用
收藏
页码:805 / 819
页数:15
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