Article (Scientific journals)
End-user engineering of ontology-based knowledge bases
Sanctorum, Audrey; Riggio, Jonathan; Maushagen, Jan et al.
2022In Behaviour and Information Technology, p. 1-19
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Keywords :
data lifting; domain ontology development; end-user development; jigsaw metaphor; Knowledge base engineering; quality assurance; Data lifting; Domain ontologies; Domain ontology development; End-User Development; End-users; Jigsaw metaphor; Knowledge-base engineerings; Ontology development; Ontology-based knowledge base; Semantic technologies; Developmental and Educational Psychology; Social Sciences (all); Human-Computer Interaction; General Social Sciences
Abstract :
[en] Knowledge bases store information on certain topics. Applying a well-structured and machine-readable format for a knowledge base is a prerequisite for any AI-based processing or reasoning. Semantic technologies (e.g. RDF) offer such a format and have the advantages that they make it possible to define the semantics of the information and support advanced querying. However, the disadvantage is that using such technologies is challenging for people not trained in IT, such as subject matter experts. This means that they need to rely on semantic technology experts to create, maintain, and query their knowledge bases. However, these experts are, in turn, not trained in the subject matter, while domain knowledge is essential for the construction of high-quality knowledge bases. In this paper, we present an end-user engineering approach for ontology-based knowledge bases. The goal is to allow subject matter experts to develop, maintain, and exploit the knowledge base themselves. We also present the supporting tools developed so far. The tools for the construction and the manual filling of the knowledge base are using the jigsaw metaphor to hide technicalities and guide the users. We also developed tools to automatically import data from spreadsheets into the knowledge base and to perform some type of quality control on the data. The end-user approach and the tools are demonstrated and evaluated for building a knowledge base in the toxicology domain.
Disciplines :
Computer science
Life sciences: Multidisciplinary, general & others
Author, co-author :
Sanctorum, Audrey ;  WISE Lab, Vrije Universiteit Brussel, Brussels, Belgium
Riggio, Jonathan ;  WISE Lab, Vrije Universiteit Brussel, Brussels, Belgium
Maushagen, Jan ;  WISE Lab, Vrije Universiteit Brussel, Brussels, Belgium
Sepehri, Sara ;  Research Group of In Vitro Toxicology and Dermato-Cosmetology (IVTD), Vrije Universiteit Brussel, Brussels, Belgium
Arnesdotter, Emma ;  Research Group of In Vitro Toxicology and Dermato-Cosmetology (IVTD), Vrije Universiteit Brussel, Brussels, Belgium
Delagrange, Mona ;  Research Group of In Vitro Toxicology and Dermato-Cosmetology (IVTD), Vrije Universiteit Brussel, Brussels, Belgium
De Kock, Joery ;  Research Group of In Vitro Toxicology and Dermato-Cosmetology (IVTD), Vrije Universiteit Brussel, Brussels, Belgium
Vanhaecke, Tamara ;  Research Group of In Vitro Toxicology and Dermato-Cosmetology (IVTD), Vrije Universiteit Brussel, Brussels, Belgium
Debruyne, Christophe  ;  Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
De Troyer, Olga ;  WISE Lab, Vrije Universiteit Brussel, Brussels, Belgium
Language :
English
Title :
End-user engineering of ontology-based knowledge bases
Publication date :
2022
Journal title :
Behaviour and Information Technology
ISSN :
0144-929X
eISSN :
1362-3001
Publisher :
Taylor and Francis Ltd.
Pages :
1-19
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
FWO - Flemish Research Foundation [BE]
VUB - Vrije Universiteit Brussel [BE]
Cosmetics Europe and the European Chemical Industry Council
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since 04 August 2022

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