Abstract
ABSTRACTAn ontology-based knowledge representation scheme thrives by establishing relations between different terms belonging to the underlying domain. However, automating the identification of all possible relations that may exist between the different terms pertaining to a vast domain, such as agriculture, is quite challenging. One of the major challenges comes from extracting the inter-subdomain relations which are quite common in the agriculture domain. This present work proposes a knowledge-based scheme for extraction of inter-subdomain relations. In particular, it deals with three such cases, viz. crop and soil, crop and disease, soil and region. A baseline system has been designed by analysing official documents retrieved from different repositories. In an improved version of the proposed scheme co-reference resolution techniques have been used to achieve much higher success with average precision and average recall more than 75% and 85%, respectively.
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