DLCLJul 4, 2019

Un Modelo Ontológico para el Gobierno Electrónico

arXiv:1907.02964v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of information management in electronic government for agencies and citizens, but it appears incremental as it builds on existing ontological and Linked Data approaches.

The paper tackles the problem of government agencies needing to efficiently orchestrate and deliver diverse information for decision-making and citizen access by proposing an ontological model based on Linked Open Data principles to represent organizational units as georeferenced entities, enabling automatic information extraction and support for mobile technologies.

Decision making often requires information that must be Provided with the rich data format. Addressing these new requirements appropriately makes it necessary for government agencies to orchestrate large amounts of information from different sources and formats, to be efficiently delivered through the devices commonly used by people, such as computers, netbooks, tablets and smartphones. To overcome these problems, a model is proposed for the conceptual representation of the State's organizational units, seen as georeferenced entities of Electronic Government, based on ontologies designed under the principles of Linked Open Data, which allows the automatic extraction of information through the machines, which supports the process of governmental decision making and gives citizens full access to find and process through mobile technologies.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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