Keyword assignment is an important step towards semantic enablement of the web. In this paper we describe a taxonomy called Agrotags which is designed for tagging agriculture documents. Agrotags is a subset of Agrovoc and is much smaller: about 2100 as against 40,000. Agrotags is manually created by carefully examining each of the Agrovoc terms for their utility in tagging. This selected subset is further refined and validated by looking at the manually assigned keywords from Agris databases. Further extending the usage of Agrotags emerges the concept of Agrotagger which is a system for automatically generating keywords for agricultural documents. Agrotagger has been built by moving the learning (what keyword to assign) from the example (document) level to the model level. Agrotagger being a pluggable module can act as an add-on to any repository.
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