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Authors: Jurijs Holms ; Irina Arhipova and Gatis Vitols

Affiliation: Latvia University of Agriculture, Latvia

ISBN: 978-989-758-298-1

Keyword(s): Ecosystem Services, Spatial Data Infrastructure.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Coupling and Integrating Heterogeneous Data Sources ; Data Engineering ; Databases and Information Systems Integration ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Integration/Interoperability ; Interoperability ; Knowledge Management ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Modeling of Distributed Systems ; Ontologies and the Semantic Web ; Sensor Networks ; Simulation and Modeling ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Software and Architectures ; Strategic Decision Support Systems ; Symbolic Systems ; Web Information Systems and Technologies

Abstract: The quality of decision making mostly correlates with the quality of source data and data models. Aims of the decision making influence the decisions. In its turn, the sustainable land management is to ensure the growing of the humanity in a confined space without negative consequences to the environment and future generation. Uniting the existing environmental data models with Ecosystem Services assessment practices makes it possible to build Information System that supports decision making for territory planning specialists. The architecture of this Information System partially will be based on the Web Services technologies, which ensure the accessibility of input data from many sources/stakeholders and provides the availability of the output data in any stage of distributed decision making process’s step. The purpose of the research is to highlight processes which make it possible to link the data from environmental data models with Ecosystem Services indicators. The task is to for mulate proposal for facilitating data exchange process in distributed strategic decision making information systems for land management. This allows making Ecosystem Services’ (Human benefits) assessment as an input using existing standardized (ISO/INSPIRE) and machine-readable (XML) data. Moreover, these assessments ensure feedback for strategic/sustainable land management which is based on distributed decision making. (More)

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Paper citation in several formats:
Holms, J.; Arhipova, I. and Vitols, G. (2018). Linking Environmental Data Models to Ecosystem Services’ Indicators for Strategic Decision Making.In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-298-1, pages 170-174. DOI: 10.5220/0006772701700174

@conference{iceis18,
author={Jurijs Holms. and Irina Arhipova. and Gatis Vitols.},
title={Linking Environmental Data Models to Ecosystem Services’ Indicators for Strategic Decision Making},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2018},
pages={170-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006772701700174},
isbn={978-989-758-298-1},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Linking Environmental Data Models to Ecosystem Services’ Indicators for Strategic Decision Making
SN - 978-989-758-298-1
AU - Holms, J.
AU - Arhipova, I.
AU - Vitols, G.
PY - 2018
SP - 170
EP - 174
DO - 10.5220/0006772701700174

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