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Review of existing agricultural data management practices, lifecycles and workflows








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    Towards Interoperability of Geopolitical Information within FAO 2006
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    This paper reports ongoing work on using an ontology as a mechanism to bridge various types of country-based information systems at the Food and Agriculture Organization of the United Nations (FAO). The type of geopolitical information addressed by this work include country international classifications, country names in the five FAO languages (Arabic, Chinese, English, French and Spanish), and other geographical information such as water bodies. Although the data required for the geopolitic al ontology is already available, it is scattered across many information systems, which are often not clearly connected to one another. The expected advantage of using an ontology to achieve interoperability is that it can accommodate semantic relationships (between countries and geographical entities) that can be exploited for inference. Moreover, in virtue of the standardized semanticsoriented languages used to encode the ontology, it will provide a highly sharable and reusable resource for the international community. This paper describes the geopolitical information to manage, presents the requirements imposed on the ontology and gives details about the ontology prototype. Finally, it discusses design issues and draws some preliminary conclusions.
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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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    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,
    2007
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    This document describes the software architecture for implementing a system for managing the fisheries ontologies lifecycle, cornerstone of WP7. The lifecycle described in this deliverable is an instantiation of the possible lifecycles that can be carried out with the NeOn toolkit, and has been selected according to FAO needs, style of work and organizational culture. This document is also an extension and refinement of D7.1.1 in terms of requirements that should be fulfilled by the ge neral NeOn lifecycle management support. The architecture is based on the NeOn Toolkit and engineering components, and will be incrementally integrated into the system through subsequent T7.4 deliverables, i.e. deliverables D7.4.2 and D7.4.3. Since D7.1.1 the requirements about the Fisheries Ontologies Lifecycle have evolved been more concrete (as in any software development process). Chapter 1 of the document describes the major requirements of the Fisheries Ontologies Lifecycle Manag ement System. Chapter 2 provides an overview of the process required for building, populating, publishing and maintaining the fisheries ontologies. Chapter 3 includes use case diagrams and a brief description of each use case required for implementing the system. These use cases are based on the requirements described in early WP7 deliverable D7.1.1, and each use case provides references to the relevant sections in D7.1.1. A detailed description of each use case and the engineering c omponents to be integrated in the system are included in Annex I of this document. Chapter 4 presents the system architecture derived from the use cases, as a selection of components of the NeOn Toolkit and system architecture. Chapter 5 describes the plan for subsequent T7.4 deliverables. Finally, Chapter 6 highlights the major conclusions of deliverable D7.4.1.

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