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Topic Map Relational Query Language - TMRQL
Paper, by Kal Ahmed and Graham Moore
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.
Kal is project leader of TM4J TopicMap Engine, TM4Web, and TMTab.
Graham Moore
graham.moore@networkedplanet.com
Graham is project leader of TMCore, NPCL Schema Editor for.. , and Concepts for Sharepoint.
This publication is cited in the following publications
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.