SEFOS: Semantic Enriched Fuzzy Based Ontological Integration of Web Data Tables

被引：0
|
作者：
Vigneshwari, S. [1 ]
机构：
[1] Sathyabama Univ, Fac Comp, Dept Comp Sci & Engn, Madras, Tamil Nadu, India
来源：
2015 INTERNATIONAL CONFERENCED ON CIRCUITS, POWER AND COMPUTING TECHNOLOGIES (ICCPCT-2015) | 2015年
关键词：
ontological and terminological resources(OTR); ONDINE system; XML/RDF; annotating; querying system; local data sources; MODEL;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Ontology based Data Integration (ONDINE) is an approach to integrate web data from heterogeneous resources with the help of ontologies. The ONDINE system is enhanced for querying the data warehouse opened in the web and updating the data. Using the ontological and terminological resources (OTR) we can load and query the data from the data warehouse. Especially, the system extracts the tables from multiple web pages and annotates the symbols and numeric constants in separated columns. The output in XML/RDF formats represents the fuzzy annotation of the integrated data tables. Using SPARQL, the fuzzy sets from the fuzzy RDF annotations are retrieved. In the proposed SEFOS system, fuzzy DL is used for querying. Thus the time to finish the task would be reduced and a decent precision rate is obtained on using fuzzy DL.
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页数：4
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