Web Interoperability for Ontology Development and Support with Crowd 2.0
Abstract
In this work, we treat web interoperability in terms of interchanging ontologies (as knowledge models) within user-centred ontology engineering environments, involving visual and serialised representations of ontologies. To do this, we deal with the tool interoperability problem by re-using an enough expressive ontology-driven metamodel, named KF, proposed as a bridge for interchanging both knowledge models. We provide an extensible web framework, named crowd 2.0, unifying the standard conceptual data modelling languages for generating OWL 2 ontologies from semantic visualisations. Visual models are designed as UML, ER or ORM 2 diagrams, represented as KF instances, and finally, formalised as DL-based models. Reasoning results may be newly incorporated into the shared KF instance to be visualised in any of the provided languages.
Cite
Text
Braun et al. "Web Interoperability for Ontology Development and Support with Crowd 2.0." International Joint Conference on Artificial Intelligence, 2021. doi:10.24963/IJCAI.2021/707Markdown
[Braun et al. "Web Interoperability for Ontology Development and Support with Crowd 2.0." International Joint Conference on Artificial Intelligence, 2021.](https://mlanthology.org/ijcai/2021/braun2021ijcai-web/) doi:10.24963/IJCAI.2021/707BibTeX
@inproceedings{braun2021ijcai-web,
title = {{Web Interoperability for Ontology Development and Support with Crowd 2.0}},
author = {Braun, Germán Alejandro and Marinelli, Giuliano and Gavagnin, Emiliano Rios and Cecchi, Laura Andrea and Fillottrani, Pablo R.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2021},
pages = {4980-4983},
doi = {10.24963/IJCAI.2021/707},
url = {https://mlanthology.org/ijcai/2021/braun2021ijcai-web/}
}