An ontology-based data acquisition infrastructure using ontologies to create domain-independent software systems

Dominic Girardi, Klaus Arthofer, Michael Giretzlehner

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

5 Citations (Scopus)

Abstract

We created an ontology-based data acquisition infrastructure which is able to store data of almost arbitrary structure and can be set up for a certain domain of application within hours. An ontology editor helps the domain expert to define and maintain the domain specific ontology. Based on the user-defined ontology, a web-based data acquisition system and an ETL data import interface are automatically created at runtime. Furthermore, rules for semantic data plausibility can be established in the ontology to provide semantic data quality for subsequent processing of the collected data. After a comprehensive requirement analysis we decided to use a special meta model instead of standard OWL ontologies. In this paper, we describe our metamodel and the reason for not using OWL in our case in detail as well as we present the infrastructure and the project it is currently used for.

Original languageEnglish
Title of host publicationKEOD 2012 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development
Pages155-160
Number of pages6
Publication statusPublished - 2012
Event4th International Conference on Knowledge Engineering and Ontology Development, KEOD 2012 - Barcelona, Spain
Duration: 4 Oct 20127 Oct 2012

Publication series

NameKEOD 2012 - Proceedings of the International Conference on Knowledge Engineering and Ontology Development

Conference

Conference4th International Conference on Knowledge Engineering and Ontology Development, KEOD 2012
CountrySpain
CityBarcelona
Period04.10.201207.10.2012

Keywords

  • Data acquisition
  • Meta modelling
  • Ontology

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