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Towards intelligent open data platforms: Discovering relatedness in datasets |
Sennaike, Oladipupo A.; Waqar, Mohammad; Osagie, Edobor; Hassan, Islam; Stasieqicz, Arkadiusz; Porwol, Lukasz; Ojo, Adegboyega
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Open data platforms are central to the
management and exploitation of data ecosystems. While existing
platforms provide basic search capabilities and features for
filtering search results, none of the existing platforms provide
recommendations on related datasets. Knowledge of dataset
relatedness is critical for determining datasets that can be
mashed-up or integrated for the purpose of analysis and creation
of data-driven services. When considering data platforms, such
as data.gov with over 193,000 datasets or data.gv.uk with over
40,000 datasets, specifying dataset relatedness relationship
manually is infeasible. In this paper, we approach the problem of
discovering relatedness in datasets by employing the Kohonen
Self Organsing Map (SOM) algorithm to analyze the metadata
extracted from the Data Catalogue maintained on a platform.
Our results show that this approach is very effective in
discovering relatedness relationships among datasets. Findings
also reveal that our approach could uncover interesting and
valuable connections among domains of the datasets which could
be further exploited for designing smarter data-driven services.
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Keyword(s):
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Semantic relatedness of datasets; data recommendation; open data platforms; e-government |
Publication Date:
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2017 |
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Type:
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Book chapter |
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Peer-Reviewed:
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Yes |
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Institution:
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Maynooth University |
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Citation(s):
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Sennaike, Oladipupo A. and Waqar, Mohammad and Osagie, Edobor and Hassan, Islam and Stasieqicz, Arkadiusz and Porwol, Lukasz and Ojo, Adegboyega (2017) Towards intelligent open data platforms: Discovering relatedness in datasets. In: 2017 Intelligent Systems Conference (IntelliSys). IEEE, pp. 414-421. ISBN 9781509064359 |
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Publisher(s):
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IEEE |
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File Format(s):
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other |
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Related Link(s):
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http://mural.maynoothuniversity.ie/13371/1/OA_school%20of%20business_towards.pdf |
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First Indexed:
2020-10-03 06:05:15 Last Updated:
2020-10-03 06:05:15 |
