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A general framework of smart Open Linked Government Data: Application in E-health

Published: 15 March 2019 Publication History

Abstract

The exploitation of information is deeply rooted in major Government functions such as service provisioning, inspection, and policy development. Open Government Data (OGD) initiatives provide mean for stakeholders to obtain government information about a locality or country, in order to reuse them and create a source of enrichment in several ways: new user services, internal lever of modernization, economic development and increased transparency. Various actors around the world are focusing on the availability of open public data in data portals, by applying legal guidelines and beneficiating from the technical competence of public organizations. While these open data government portals are offering tools to present, search, download and visualize the government information, critical voices start addressing some issues of availability of a large amount of replicated datasets, therefore, a difficulty of finding relevant datasets and accessibility of datasets without connection between them. In this paper a framework for generating smart open linked government data (smart OLGD) is proposed, this framework profits from several technologies, Linked data, Natural language processing to aggregate in a semantic level similar datasets and Ratings-Based Recommender Systems to pro-vide suggestions of datasets that may represent a potential interest for citizens.

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  • (2023)Methodologies for publishing linked open government data on the Web: A systematic mapping and a unified process modelSemantic Web10.3233/SW-22289614:3(585-610)Online publication date: 5-Apr-2023

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  1. A general framework of smart Open Linked Government Data: Application in E-health

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    cover image ACM Other conferences
    ICGDA '19: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis
    March 2019
    156 pages
    ISBN:9781450362450
    DOI:10.1145/3318236
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    • Department of Informatics, University of Oslo

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    Association for Computing Machinery

    New York, NY, United States

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    Published: 15 March 2019

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    Author Tags

    1. Data quality
    2. Dictionary based approach
    3. Health data
    4. Linked data
    5. Natural language processing
    6. Open government data
    7. Recommender systems

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    • (2023)Methodologies for publishing linked open government data on the Web: A systematic mapping and a unified process modelSemantic Web10.3233/SW-22289614:3(585-610)Online publication date: 5-Apr-2023

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