Ontopanel: A Tool for Domain Experts Facilitating Visual Ontology Development and Mapping for FAIR Data Sharing in Materials Testing

被引:13
作者
Chen, Yue [1 ]
Schilling, Markus [1 ]
von Hartrott, Philipp [2 ]
Nasrabadi, Hossein Beygi [1 ]
Skrotzki, Birgit [1 ]
Olbricht, Jurgen [1 ]
机构
[1] Bundesanstalt Mat Forsch & Prufung BAM, Unter Eichen 87, Berlin, Germany
[2] Fraunhofer Inst Werkstoffmech IWM, Wohlerstr 11, Freiburg, Germany
关键词
Materials testing; Ontology; Visual ontology development; Data mapping; FAIR;
D O I
10.1007/s40192-022-00279-y
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In recent years, the design and development of materials are strongly interconnected with the development of digital technologies. In this respect, efficient data management is the building block of material digitization and, in the field of materials science and engineering (MSE), effective solutions for data standardization and sharing of different digital resources are needed. Therefore, ontologies are applied that represent a map of MSE concepts and relationships between them. Among different ontology development approaches, graphical editing based on standard conceptual modeling languages is increasingly used due to its intuitiveness and simplicity. This approach is also adopted by the Materials-open-Laboratory project (Mat-o-Lab), which aims to develop domain ontologies and method graphs in accordance with testing standards in the field of MSE. To suit the actual demands of domain experts in the project, Ontopanel was created as a plugin for the popular open-source graphical editor diagrams.net to enable graphical ontology editing. It includes a set of pipeline tools to foster ontology development in diagrams.net, comprising imports and reusage of ontologies, converting diagrams to Web Ontology Language (OWL), verifying diagrams using OWL rules, and mapping data. It reduces learning costs by eliminating the need for domain experts to switch between various tools. Brinell hardness testing is chosen in this study as a use case to demonstrate the utilization of Ontopanel.
引用
收藏
页码:545 / 556
页数:12
相关论文
共 15 条
[1]  
[Anonymous], 2021, 178152021E CWA CENCE
[2]  
[Anonymous], 2014, 65061201410 ISO
[3]  
Ashino Toshihiro, 2010, Data Science Journal, V9, P54, DOI 10.2481/dsj.008-041
[4]   A Perspective on Digital Knowledge Representation in Materials Science and Engineering [J].
Bayerlein, Bernd ;
Hanke, Thomas ;
Muth, Thilo ;
Riedel, Jens ;
Schilling, Markus ;
Schweizer, Christoph ;
Skrotzki, Birgit ;
Todor, Alexandru ;
Torres, Benjami Moreno ;
Unger, Jorg F. ;
Voelker, Christoph ;
Olbricht, Jurgen .
ADVANCED ENGINEERING MATERIALS, 2022, 24 (06)
[5]   Converting UML-Based Ontology Conceptualizations to OWL with Chowlk [J].
Chavez-Feria, Serge ;
Garcia-Castro, Raul ;
Poveda-Villalon, Maria .
SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS, 2021, 12739 :44-48
[6]  
Cheung K, 2008, SEMANTIC SCI KNOWLED, P6
[7]   OBOWLMorph: Starting Ontology Development from PURO Background Models [J].
Dudas, Marek ;
Hanzal, Tomas ;
Svatek, Vojtech ;
Zamazal, Ondrej .
ONTOLOGY ENGINEERING, 2016, 9557 :14-20
[8]   Towards efficient data exchange and sharing for big-data driven materials science: metadata and data formats [J].
Ghiringhelli, Luca M. ;
Carbogno, Christian ;
Levchenko, Sergey ;
Mohamed, Fawzi ;
Huhs, Georg ;
Luders, Martin ;
Oliveira, Micael ;
Scheffler, Matthias .
NPJ COMPUTATIONAL MATERIALS, 2017, 3
[9]  
Glick J., 2013, Informatics for Materials Science and Engineering, P147, DOI [10.1016/B978-0-12-394399-6.00008-4, DOI 10.1016/B978-0-12-394399-6.00008-4]
[10]   Event Categories on the Semantic Web and Their Relationship/Object Distinction [J].
Hanzal, Tomas ;
Svatek, Vojtech ;
Vacura, Miroslav .
FORMAL ONTOLOGY IN INFORMATION SYSTEMS, 2016, 283 :183-196