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Separating mixtures of normal distributions: basic programs for Bhattacharya’s method and their applications to fish population analysis - BOBP/MAG/4









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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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    Information technologies and standards for agricultural information resources management: AGRIS Application Profile, AGROVOC and LISAGR 2007
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    The new AGRIS initiative, which was launched at the Expert Consultation in October 2005, has defined three main areas of intervention to improve international information systems in agricultural science and technology: Advocacy, Capacity Building and Content Management. Content management, the management of agricultural science and technology information, has various needs: standards and methodologies for interoperability and facilitation of knowledge exchange; tools to enable information mana gement specialists to process data; information and knowledge. This paper describes some of the efforts which have been made in this area over recent years.
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    Towards an infrastructure for semantic applications: Methodologies for semantic integration of heterogeneous resources 2006
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    As with many domains, information retrieval and knowledge management (IR/KM) in agriculture suffers from the problems of semantic heterogeneity, making it difficult for providers to disseminate their services effectively and for users to retrieve the information they need. Based on the analysis of resources in the domain of agriculture, this paper proposes a) application profiles for dealing with the problem of heterogeneity originating from differences in terminologies, domain coverage, and dom ain modelling, and b) a root ontology based on the application profile which can serve as a basis for extending knowledge of the domain.

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