Web Interoperability for Ontology Development and Support with crowd 2.0
German Braun, Giuliano Marinelli, Emiliano Rios Gavagnin, Laura Cecchi, Pablo Fillottrani
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.
BibTeX
@inproceedings{ijcai2021p707,
title = {Web Interoperability for Ontology Development and Support with crowd 2.0},
author = {Braun, German and Marinelli, Giuliano and Rios Gavagnin, Emiliano and Cecchi, Laura and Fillottrani, Pablo},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Zhi-Hua Zhou},
pages = {4980--4983},
year = {2021},
month = {8},
note = {Demo Track},
doi = {10.24963/ijcai.2021/707},
url = {https://doi.org/10.24963/ijcai.2021/707},
}