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D7.4.1 Software architecture for managing the Fisheries ontologies lifecycle

NeOn: Lifecycle Support for Networked Ontologies, Integrated Project (IST-2005-027595). Priority: IST-2004-2.4.7,








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    D7.1.2 Revised specifications of user requirements for the Fisheries, case study
    NeOn: Lifecycle Support for Networked Ontologies, Integrated Project (IST-2005-027595). Priority: IST-2004-2.4.7,
    2008
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    This document revises and updates the user requirements for the Fisheries case study (WP7) originally prepared in D7.1.1 (in M7). As highlighted in the introduction (Chapter 1), the purpose of this deliverable, 22 months after the launch of the NeOn project, is to refine the user requirements for the WP7 case study. This refinement of the user requirements is also meant to enhance the alignment of the case study with the NeOn project and better contribute to it as a whole. The user r equirements for the Fisheries ontologies lifecycle management system are presented in Chapter 2. This chapter also includes an updated description of user’s roles and requirements for ontology engineers and ontology editors. The requirements for the FSDAS are revisited in Chapter 3. That chapter covers the general characteristics of the FSDAS (i.e., its scope, perspective, features), the refinement and extension of the functional requirements, its foreseen user types, and a number of u ser interface issues and non-functional requirements. Conclusions are presented in Chapter 4. This deliverable also includes five annexes with additional detailed information. Annex A provides a summary of the requirements presented in Chapter 2, together with their mapping to the NeOn architecture. Annex B traces all changes to requirements, scenarios and uses cases from D7.1.1 until now. Annex C consists of tables that are meant to help the reader trace the changes (modifications /refinements) with respect to the requirements presented in D7.1.1 and D7.5.1. Finally, Annex D and Annex E list the revised use cases and the new use cases for FSDAS respectively.
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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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    7.3.1: Results from experiments in ontology learning including evaluation and recommendation
    NeOn: Lifecycle Support for Networked Ontologies, Integrated Project (IST-2005-027595). Priority: IST-2004-2.4.7,
    2007
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    This document describes the Ontology Learning experiments we performed in order to recommend a set of ontology learning techniques to enhance the ontology engineering process in the fisheries domain in place at FAO. Experiments have been conceived in the wider context of the WorkPackage 7 of the NeOn Project. The main contribution of this document to WP7 is a set of recommendations and best practices to exploit semi-automatic technique to acquire knowledge either from domain specific documents a nd existing ontologies. The basic criterion for success indication adopted is the reduction of the development time required for the Ontology Engineering process actually in place at FAO. After a brief overview of WP7, the document addresses the following issues: to describe the state of the art in ontology learning and; to set up an evaluation case study in the fisheries domain; to identify suitable techniques which can be profitably applied to fit the user’s requirements; to evaluate such tech niques in the use case scenario, and, finally, to provide a set of recommendations indicating the most reliable techniques to be included in the ontology engineering lifecycle.

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