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Abstract
Abstract. Knowledge bases are used to store and centralize information on certain topics in a domain. Using a well-structured and machine-readable format is a prerequisite for any AI-based processing or reasoning. The use of semantic technologies (e.g., RDF, OWL) has the advantage that it allows to define the semantics of the information and supports advanced querying. However, using such technologies is a challenging task for subject matter experts from a domain such as life science who are, in general, not trained for this. This means that they need to rely on semantic technology experts to create their knowledge bases. However, these experts are usually IT-experts and they are, in turn, not
trained in the subject matter, while knowledge of the domain is essential for the construction of a high-quality knowledge base. In this paper, we present an end-user development (EUD) tool that supports subject matter experts in the construction of ontology–based knowledge bases. The tool is using the jigsaw metaphor for hiding the technicalities of the semantic technology, as well as to guide the users in the process of creating a knowledge base. The approach and the tool is demonstrated for building a knowledge base in the toxicology domain. The tool has been evaluated by means of a preliminary user study with nine subject matter experts from this domain. All participants state that with a little practice they could become productive with our tool and actually use it
to represent and manage their knowledge. The results of the evaluation resulted in valuable suggestions for improving the tool and highlighted the importance of well adapting the terminology to the target audience.
trained in the subject matter, while knowledge of the domain is essential for the construction of a high-quality knowledge base. In this paper, we present an end-user development (EUD) tool that supports subject matter experts in the construction of ontology–based knowledge bases. The tool is using the jigsaw metaphor for hiding the technicalities of the semantic technology, as well as to guide the users in the process of creating a knowledge base. The approach and the tool is demonstrated for building a knowledge base in the toxicology domain. The tool has been evaluated by means of a preliminary user study with nine subject matter experts from this domain. All participants state that with a little practice they could become productive with our tool and actually use it
to represent and manage their knowledge. The results of the evaluation resulted in valuable suggestions for improving the tool and highlighted the importance of well adapting the terminology to the target audience.
Original language | English |
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Title of host publication | End-User Development. IS-EUD 2021. |
Editors | Daniela Fogli, Daniel Tetteroo, Barbara Rita Barricelli, Simone Borsci, Panos Markopoulos, George A. Papadopoulos |
Publisher | Springer |
Pages | 169-184 |
Number of pages | 16 |
ISBN (Electronic) | 978-3-030-79840-6 |
ISBN (Print) | 978-3-030-79839-0 |
DOIs | |
Publication status | Published - 2021 |
Event | International Symposium on End User Development - online Duration: 6 Jul 2021 → 8 Jul 2021 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12724 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | International Symposium on End User Development |
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Abbreviated title | IS-EUD 2021 |
Period | 6/07/21 → 8/07/21 |
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- 1 Finished
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IRP19: Non-Animal Methodologies for Toxicity Testing of Chemical Compounds (TOXIN).
Vanhaecke, T., Vinken, M., De Kock, J., De Troyer, O. & Quinn, P.
1/11/19 → 31/10/24
Project: Fundamental