A Jigsaw-Based End-User Tool for the Development of Ontology-Based Knowledge Bases

Sanctorum, Audrey; Riggio, Jonathan; Sepehri, Sara; Arnesdotter, Emma; Vanhaecke, Tamara; Troyer, Olga De

doi:10.1007/978-3-030-79840-6_11

Cited by 3 publications

(4 citation statements)

References 27 publications

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“…This user study was done in the context of the toxicological use case example with nine subject matter experts from this domain. This user study is described in detail in [43]. In summary, we obtained the following results.…”

Section: Evaluation Of the Tool Supportmentioning

confidence: 67%

End-user engineering of ontology-based knowledge bases

Sanctorum

Riggio

Maushagen

et al. 2022

Behaviour & Information Technology

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Section: Evaluation Of the Tool Supportmentioning

confidence: 67%

End-user engineering of ontology-based knowledge bases

Sanctorum

Riggio

Maushagen

et al. 2022

Behaviour & Information Technology

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“…The tool is not limited to the toxicology domain, but can also be used for other domains to define the ontology for an ontology-based knowledge graph. It is described in detail in [19,22]. Here, we provide a short description to show the reader how the tool is used to develop the ontology of TOXIN's knowledge management system.…”

Section: Ontology Development Supportmentioning

confidence: 99%

Knowledge Management in the Context of Toxicity Testing

Sanctorum,

Maushagen,

Sepehri

et al. 2023

From Theory of Knowledge Management to Practice

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The chapter presents the knowledge management system, developed in the context of an interdisciplinary project called TOXIN, for the toxicity testing domain to facilitate the safety assessment of new cosmetic ingredients. Tools have been developed to capture existing knowledge captured in Safety Evaluation Opinions documents issued by the Scientific Committee on Consumer Safety in a knowledge graph, to enrich this knowledge with knowledge from other sources, and to access this knowledge efficiently. Ontologies and semantic technology are used to build the toxicological knowledge graph and its tools. The developed knowledge management system is based on the processes for creating, maintaining, and exploiting knowledge graphs defined in the Abstract Reference Architecture. The chapter discusses the approach followed for developing the knowledge management system, and the tools developed to support the different processes of the Abstract Reference Architecture. These tools include end-user tools, as well as more advanced tools for information technology experts.

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“…It involves the capture, consolidation, dissemination and reuse of knowledge [6] through the use of various technologies, tools and processes to achieve set goals [7]. Knowledge bases are common examples to store and centralize information on certain topics in a domain [1].…”

Section: Introductionmentioning

confidence: 99%

“…Knowledge bases are used to store and centralize information on certain topics in a domain [1] and present a potential to fill this knowledge gap. The first step in designing a knowledge-based system is to identify what kind of knowledge is actually being modelled.…”

Section: Introductionmentioning

confidence: 99%

Semantic knowledge models for decision making in asset management: IM‐SAFE Knowledge Base

Bektas,

Oord,

Kohler

et al. 2023

ce papers

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Against the backdrop of physical ageing, asset management organizations not only struggle with scattered object‐related data across incompatible software and models, but also dispersed, often missing, insights from domain experts. There is a large volume of data already available particularly at National Road Authorities i.e. object characteristics, inspection and measurement results, usage records. Yet this data is distributed, has complex and varying structures, it takes cumbersome effort to find and obtain for a particular asset management decision. Semantic knowledge models aim to capture domain information and represent it via class definitions, their attributes, relationships and in instances. Such models are used to create knowledge bases, where different technologies are utilized. In the IM‐SAFE project, a knowledge base is created based on a Semantic Wiki Platform. It captures asset information concerning their structural analysis and state on 99 civil structures across Europe. In this paper, a step‐by‐step methodology is provided to build the knowledge base. The paper involves knowledge acquisition, data collection, knowledge modelling, populating datasets and quality assurance steps. It will conclude future implications to make the base expandable and widely used for asset management.

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A Jigsaw-Based End-User Tool for the Development of Ontology-Based Knowledge Bases

Cited by 3 publications

References 27 publications

End-user engineering of ontology-based knowledge bases

End-user engineering of ontology-based knowledge bases

Knowledge Management in the Context of Toxicity Testing

Semantic knowledge models for decision making in asset management: IM‐SAFE Knowledge Base

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