---
title: "Web Interoperability for Ontology Development and Support with crowd 2.0"
authors:
  - "German Braun"
  - "Giuliano Marinelli"
  - "Emiliano Rios Gavagnin"
  - "Laura Cecchi"
  - "Pablo Fillottrani"
doi: "10.24963/ijcai.2021/707"
url: "https://ijcai.org/proceedings/2021/707"
pdf: "https://ijcai.org/proceedings/2021/0707.pdf"
venue: "Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"
year: 2021
pages: "4980-4983"
track: "Demo Track"
keywords:
  - "Knowledge Representation and Reasoning: General"
---

# Web Interoperability for Ontology Development and Support with crowd 2.0

German Braun, Giuliano Marinelli, Emiliano Rios Gavagnin, Laura Cecchi, Pablo Fillottrani

*Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence*, pages 4980-4983. DOI: [10.24963/ijcai.2021/707](https://doi.org/10.24963/ijcai.2021/707)

## 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.