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Knowledge Models in Agropedia Indica







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    Ontology development for agricultural research
    A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy (Tropical Agriculture) Graduate School, Kasetsart University, 2009
    2009
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    D7.2.2: Revised and enhanced fisheries ontologies
    NeOn: Lifecycle Support for Networked Ontologies, Integrated Project (IST-2005-027595). Priority: IST-2004-2.4.7, "Semantic-based knowledge and content systems"
    2007
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    This document describes and discusses the fisheries ontologies developed for use within the Fish Stock Depletion Assessment System (FSDAS). All ontologies are publicly available from the FAO website, from http://www.fao.org/aims/aos/fi. This document is organized as follows. In Chapter 1 we place our work in the context of the WP7 case study. In Chapter 2 we describe previous attempts to create ontologies for the fisheries domain. In Chapter 3 we recap the user requirements presented i n our previous deliverable D7.1.1, with special attention to the functionalities needed for modelling, population and maintenance. In Chapter 4 we describe the domains and the data on which the ontologies described here are based. In Chapter 5 we describe the fisheries database where the data used to populate the fisheries ontologies is stored; we also introduce the tool used for population of the ontologies. In Chapter 6 we describe the models of all ontologies produced. In Chapter 7 we discuss some features of the ontologies. In Chapter 8 we summarize the lessons learned in the course of this work. Finally, in Chapter 9 we draw our conclusions. This document also includes four Annexes: the list of naming conventions adopted (Annex I), an essential glossary of fisheries terms (Annex II) a list of acronyms (Annex III) and a report on the conversion of the XML schema for fisheries factsheets into an ontology.
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    The AGROVOC concept server: rationale, goals and usage 2007
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    The main objective of the AGROVOC Concept Server (CS)is to create a collaborative reference platform and a one-stop shop for a pool of commonly used concepts related to agriculture, containing terms, definitions and relationships between terms in multiple languages derived from various sources. This paper aims to address the issues.

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