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User validation in ontology alignment: functional assessment and impact
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-1881-3969
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. Sectra.
Gulbenkian Science Institute, Portugal.
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, Faculty of Science & Engineering. RISE Research Institutes of Sweden.
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2019 (English)In: Knowledge engineering review (Print), ISSN 0269-8889, E-ISSN 1469-8005, Vol. 34, article id e15Article in journal (Refereed) Published
Abstract [en]

User validation is one of the challenges facing the ontology alignment community, as there are limits to the quality of the alignments produced by automated alignment algorithms. In this paper, we present a broad study on user validation of ontology alignments that encompasses three distinct but inter-related aspects: the profile of the user, the services of the alignment system, and its user interface. We discuss key issues pertaining to the alignment validation process under each of these aspects and provide an overview of how current systems address them. Finally, we use experiments from the Interactive Matching track of the Ontology Alignment Evaluation Initiative 2015–2018 to assess the impact of errors in alignment validation, and how systems cope with them as function of their services.

Place, publisher, year, edition, pages
Cambridge: Cambridge University Press, 2019. Vol. 34, article id e15
National Category
Computer Sciences Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-161973DOI: 10.1017/S0269888919000080ISI: 000505081000001OAI: oai:DiVA.org:liu-161973DiVA, id: diva2:1370340
Funder
Swedish e‐Science Research CenterSwedish Research Council, 2018-04147CUGS (National Graduate School in Computer Science)
Note

Funding agencies: Fundacao para a Ciencia e Tecnologia through LaSIGE research unit [UID/CEC/00408/2013, PTDC/EEI-ESS/4633/2014]; Swedish e-Science Research Centre (SeRC); Swedish Research Council (Vetenskapsradet)Swedish Research Council [2018-04147]; Swedish National Gra

Available from: 2019-11-14 Created: 2019-11-14 Last updated: 2020-01-13

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