home > library > publications > topic map relational query language - tmrql

close subject identifiers for Topic Map Relational Query Language - TMRQL
  • /publications/topic_map_relational_query_language

Topic Map Relational Query Language - TMRQL

Paper, by Kal Ahmed and Graham Moore

This paper outlines the Topic Map Relational Query Language (TMRQL).

External Link: download paper

Topic Map Relational Query Language (TMRQL) has been designed in order to provide a sound foundation for querying topics maps. To this end it does not define an entire new language but instead presents a core set of abstract relational views.

Authors

Kal Ahmed

No contact information available. 

Kal2_bw

Kal is project leader of TM4J TopicMap Engine, TM4Web, and TMTab.

 

Topic Maps is an excellent paradigm to support human thinking and to visualize networked information. As part of my PhD project, I therefore chose Topic Maps as the conceptual foundation for designing and implementing a software prototype for semantic knowledge retrieval.

Stefan_smolnik
Stefan Smolnik
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
Partners

Graduate from the Topic Maps Lab