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Toward manageable data sources

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Details

Original languageEnglish
Title of host publicationInformation Modelling and Knowledge Bases XXX
EditorsTatiana Endrjukaite, Hannu Jaakkola, Alexander Dudko, Yasushi Kiyoki, Bernhard Thalheim, Naofumi Yoshida
PublisherIOS Press
Pages101-111
Number of pages11
ISBN (Electronic)9781614999324
DOIs
Publication statusPublished - 1 Jan 2019
Publication typeA4 Article in a conference publication
EventInternational Conference on Information Modelling and Knowledge Bases - Riga, Latvia
Duration: 4 Jun 20188 Jun 2018

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume312
ISSN (Print)0922-6389

Conference

ConferenceInternational Conference on Information Modelling and Knowledge Bases
CountryLatvia
CityRiga
Period4/06/188/06/18

Abstract

As information systems are producing vast amounts of data with ever increasing speed and diversity, the management of data is becoming an important part of gaining the information that we need. With this as the motivation, this paper proposes a Manageable Data Sources framework for the systematic management of data sources. The framework is derived from a new conceptual model of data processing: The Faucet-Sink-Drain model. The framework achieves two aims: The unification of data processing, and secondly, the componentization and decoupling of data processing related tasks. The framework is described and a reference architecture is laid out for the creation of a proof-of-concept implementation to solve the given use case.

ASJC Scopus subject areas

Keywords

  • Big Data, Conceptual model, Data processing, Faucet-Sink-Drain model, Framework, MDS

Publication forum classification

Field of science, Statistics Finland