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A conceptual holding model for veterinary applications.

Nicola Ferrè, Werner Kuhn, Massimo Rumor

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    Summary
    This summary is machine-generated.

    This study introduces a standardized application schema for veterinary geographical information systems (GIS) to improve data sharing. It addresses data incompatibility issues, ensuring consistent spatial representation of animal holdings.

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    Area of Science:

    • Veterinary epidemiology
    • Geographic Information Systems (GIS)
    • Data interoperability

    Background:

    • Geographical Information Systems (GIS) are crucial for managing animal holding data, but spatial data often lacks standardization.
    • Inconsistent data formats and representations in GIS lead to incompatibility and hinder data integration within the veterinary domain.
    • Existing spatial data management in veterinary contexts typically relies on simple coordinates, overlooking richer contextual information.

    Purpose of the Study:

    • To develop a unified application schema for representing animal holdings in GIS.
    • To enhance data interoperability and facilitate information sharing within the veterinary community.
    • To align spatial data management with the European directive framework (INSPIRE).

    Main Methods:

    • Development of a conceptual model for holdings at essential and abstract levels.
    • Application of the European directive framework (directive 2007/2/EC--INSPIRE) for schema design.
    • Formalization of information-theoretic foundations for spatial representation of holdings.

    Main Results:

    • An application schema for veterinary GIS holdings has been proposed.
    • The schema formalizes and unifies the spatial representation of animal holdings.
    • The developed model aims to ensure straightforward information sharing among veterinary stakeholders.

    Conclusions:

    • The proposed application schema addresses critical data incompatibility issues in veterinary GIS.
    • Standardized spatial representation of holdings is essential for effective data integration and analysis.
    • Implementation of this schema will improve the interoperability of veterinary spatial data systems.