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Semantic Integration of Relational Data Sources With Topic Maps

Paper, was published by Thomas Neidhart and Rani Pinchuk at 2009-11-13

This paper presents the architecture and prototype implementation of a semantic integration layer.

External Link: more information

Data integration of heterogeneous data sources plays a major role in the development of modern knowledge management systems. Additional enrichment of this data with the use of ontologies opens up completely new possibilities in leveraging the use of semantic technologies, and combining information from existing information systems. This paper presents the architecture and prototype implementation of a semantic integration layer for transparent access to relational data sources through the use of Topic Maps.

Authors

Thomas Neidhart

No contact information available. 

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Thomas is involved in ULISSE, DIADEM, TopiEngi, and Ontopia.

Rani Pinchuk

No contact information available. 

Rani_2010_150x150

Rani is involved in LINDO, DIADEM, ULISSE, TopiEngi, and SATOPI.

Presented at

TMRA 2009

Conference in Leipzig from {{start}} to {{end}}

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Call for Contributions TMRA 2009 will be the fifth event in the annual series of international conferences on Topic Maps Research and …

Visit homepage of TMRA 2009

Projects

Ontopia

is a {{project}}.

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Ontopia is a complete set of open source tools for building, maintaining, and deploying Topic Maps-based applications.

Visit homepage of Ontopia

glossary

TMDM

is associated with {{count}} items.

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TMDM is the abbreviation for Topic Maps Data Model. You will find a compact illustration of all relationships within the TMDM

TMQL

is associated with {{count}} items.

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TMQL is the abbreviation for Topic Maps Query Language.

CTM

is associated with {{count}} items.

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CTM is the abbreviation for Topic Maps Compact Syntax. CTM is defined by ISO 13250-6, that is, part 6 of the Topic Maps standard. It’s a textual notation to describe topic maps.

 

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