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Towards a novel content organisation in agriculture using semantic technologies: a study with Topic Maps as a tool

Paper, was published by Shelly Patwar, Pritpal Kaur, Asil Gerard Sylvester, and Venkataraman Balaji at 2009-05-04

A framework that combines Topic Maps (TM) and a global agricultural thesaurus, the FAO AGROVOC, has been developed.

External Link: download paper


Agricultural information management needs to be responsive to the needs of varied stakeholders, and content repurposing to suit multiple audiences is a key requirement. A framework that combines the semantic web techniques of Topic Maps™ and a global agricultural thesaurus, the FAO AGROVOC, has been developed on a pilot basis for five crops. The framework when overlaid on a web-based collection of information objects reveals interesting possibilities, especially in presenting the repository content in noticeably different ways to a subject-matter specialist or to an extension worker. Results are discussed and opportunities for further development are briefly described.

References:

Patwar, S., Kaur, P., Sylvester, A.G. and Balaji, V. (2009) ‘Towards a novel content organisation in agriculture using semantic technologies: a study with Topic Maps as a tool’, Int. J. Metadata, Semantics and Ontologies.

Authors

Pritpal Kaur

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Pritpal is author of Towards a novel content.. .

glossary

XTM

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XTM is the abbreviation for Topic Maps XML Syntax. There are currently two versions: XTM1 and XTM2.

 

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