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Report on an FAO Ontology and Terminology System








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    Project
    D7.5.1: Software architecture for the ontology-based Fisheries Stock Depletion Assessment System (FSDAS)
    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 the architecture for the ontology-driven Fisheries Stock Depletion Assessment System (FSDAS). The goal is to provide with technical details to support T7.6 implementing activity.
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    Book (stand-alone)
    From thesauri to Ontologies: A short case study in the food safety area in how ontologies are more powerful than thesauri From thesauri to RDFS to OWL
    From thesauri to RDFS to OWL
    2004
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    This short case study will show on the basis of a simple example taken from the Food Safety area, how ontologies differ from thesauri. The example will start with showing an extract from the AGROVOC thesaurus, and exploring the information that can be extracted from here. We will then develop this example further in order to show growing functionality and expressive power first in RDFS and finally in OWL ontologies.
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    Project
    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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