PDFAbstract: The Open Data goal is similar to the other open data movements – Open Sources, Open Access etc. Although the Open Data philosophy is defined long time ago, the term gains popularity with the Internet and World Wide Web - WWW rise and mostly with the Open Data initiatives Data.gov and Data.gov.uk. The curiosity of the world enforces the Big Data to become Open and then to connect the available open data in linked. In this article is presented a comprehensive review of established methodologies for assess the data quality. It is proposed a multistep integrated approach for quality assessment of Open data as the methodology for its evaluation.
Keywords: Open data, linked data, open knowledge, open data cloud, methodology, assessment REFERENCES [1] Amrapali Zaveri, Anisa Rula, Andrea Maurino, Ricardo Pietrobon, Jens Lehmann and Soren Auer Quality Assessment Methodologies for Linked Open Data, Semantic Web, 1, 2012, 1–5 1 IOS Pres [2] DBpedia available at: http://wiki.dbpedia.org/ [3] Friend of a Friend available at: http://www.foaf-project.org/ [4] GoPubMed available at: http://www.gopubmed.com/web/gopubmed/ww w/GoPubMed/Search/index. [5] Illumine Nextbio Research available at: https://www.nextbio.com/b/authentication/logi n.nb [6] ANSI American National Standards Institute (2004) Understanding Metadata (available at: http://www.niso.org/publications/press/Underst andingMetadata.
Cite this paper
Roumen Trifonov, Galya Pavlova. (2017) Methodology for Assessment of Open Data. International Journal of Computers, 2 , 28-37
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