- /publications/TMRA_2009_semantic_integration_of_relational_data_sources
Semantic Integration of Relational Data Sources With Topic Maps
Paper, was published by Thomas Neidhart and Rani Pinchuk at 2009-11-13
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.
Thomas is involved in ULISSE, DIADEM, TopiEngi, and Ontopia.
Presented at
TMRA 2009
Conference in Leipzig from {{start}} to {{end}}
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}}.
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.
TMDM is the abbreviation for Topic Maps Data Model. You will find a compact illustration of all relationships within the TMDM …
CTM
is associated with {{count}} items.
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.
This publication cites the following publications
TMAPI 2.0
by Lars Heuer and Johannes Schmidt
Topic Maps is the only formal semantic model which is optimized for humans, not for computers. Applications and web portals based on Topic Maps are easy to use, without limitations for flexibility and creativity.
Ruby Topic Maps
