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Approaching an optimizing open linked government data portal

Published: 18 October 2018 Publication History

Abstract

Open Government Data (OGD) initiatives provide means for stakeholders including developers, tech start-ups, civil society organizations and citizens 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. Several actors around the world are concentrating on the availability of open public data, by applying legal guidelines and beneficiating from the technical competence of public organizations in different countries. While these open data government portals tools to present, search, download and visualize the government information, critical availability of a large replicated datasets, therefore, a difficulty of finding relevant datasets and accessibility of datasets without connection between them. More concretely, in this paper, we present a template for an open government portal that takes advantage of different technologies, linked data to discover the links between heterogeneous datasets, natural language processing to aggregate in a semantic level similar data-set and ratings-based recommender systems to provide suggestions of datasets that may represent a potential interest for citizens.

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cover image ACM Other conferences
ICSDE'18: Proceedings of the 2nd International Conference on Smart Digital Environment
October 2018
214 pages
ISBN:9781450365079
DOI:10.1145/3289100
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • University of Houston

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Association for Computing Machinery

New York, NY, United States

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Published: 18 October 2018

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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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ICSDE'18

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ICSDE'18 Paper Acceptance Rate 32 of 80 submissions, 40%;
Overall Acceptance Rate 68 of 219 submissions, 31%

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