10.5281/zenodo.6504670
https://zenodo.org/records/6504670
oai:zenodo.org:6504670
Martin G. Skjæveland
Martin G. Skjæveland
0000-0002-9736-8316
UiO
Laura Ann Slaughter
Laura Ann Slaughter
0000-0002-6908-4906
UiO
Christian Kindermann
Christian Kindermann
UiO
OntoCommons D4.3 - Report on Landscape Analysis of Ontology Engineering Tools
Zenodo
2022
Jinzhi Lu
Jinzhi Lu
UiO
Emna Amdouni
Emna Amdouni
0000-0002-2930-5938
ENIT
Francesca L. Bleken
Francesca L. Bleken
0000-0001-8869-3718
SINTEF
Jesper Friis
Jesper Friis
0000-0002-1560-809X
SINTEF
Kevin Haller
Kevin Haller
0000-0001-8949-610X
TU Wien
Casper W. Andersen
Casper W. Andersen
0000-0002-2547-155X
SINTEF
Daniel Garijo
Daniel Garijo
0000-0003-0454-7145
UPM
María Poveda-Villalón
María Poveda-Villalón
0000-0003-3587-0367
UPM
Serge Chavez
Serge Chavez
0000-0002-7454-9202
UPM
Lan Yang
Lan Yang
NUIG
Laura Waslmayr
Laura Waslmayr
0000-0002-0895-6379
TU WIEN
2022-04-20
Project deliverable
10.5281/zenodo.6504669
https://zenodo.org/communities/ontocommons
Creative Commons Attribution 4.0 International
This report provides a landscape analysis of software systems for ontology engineering. We collect software systems that are said to be used in practice and compile them in an index providing information about their homepage, documentation, and other publicly available materials. Furthermore, we classify collected software systems according to high-level categories that have been proposed in the report on “Ontology Ecosystem Specification”. This categorisation can be used as a first guide by practitioners to search and select software systems for ontology engineering tasks that are most suitable for their needs. Lastly, we conduct a desk review analysis of the collected software systems considering novel challenges arising from application domains as put forward by the report on “Requirements on ontology tools and ontologies and criteria for selection of further cases”. We find that some areas in ontology engineering seem to be lacking in terms of tool support, e.g., modularisation, conceptual modelling, and ontology reuse. However, our results also suggest that for many challenges arising in practice there is often some kind of tool support that may prove to be useful for addressing said challenges.