INTEGRATION OF HETEROGENEOUS DATA SOURCES IN AN ONTOLOGICAL KNOWLEDGE BASE

被引：0

作者：

Mylka, Antoni ^{[1
]}

Mylka, Alina ^{[1
]}

Kryza, Bartosz ^{[2
]}

Kitowski, Jacek ^{[2
]}

机构：

[1] AGH Univ Sci & Technol, Fac Elect Engn Automat IT & Elect, Dept Comp Sci, PL-30059 Krakow, Poland

[2] AGH Univ Sci & Technol, Acad Comp Ctr CYFRONET, PL-30950 Krakow, Poland

来源：

COMPUTING AND INFORMATICS | 2012年 / 31卷 / 01期

关键词：

Data management; data integration; semantics; ontologies; conversion; RDF; integrity constraints; semantic optimization; SPARQL;

D O I：

暂无

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 X2R, a system for integrating heterogeneous data sources in an ontological knowledge base. The main goal of the system is to create a unified view of information stored in relational, XML and LDAP data sources within an organization, expressed in RDF using a common ontology and valid according to a prescribed set of integrity constraints. X2R supports a wide range of source schemas and target ontologies by allowing the user to define potentially complex transformations of data between the original data source and the unified knowledge base. A rich set of integrity constraint primitives has been provided to ensure the quality of the unified data set. They are also leveraged in a novel approach towards semantic optimization of SPARQL queries.

引用

页码：189 / 223

页数：35

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