Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Emiliano Rios Gavagnin

dblp:278/1447 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology
ontology engineering
0.512021
Web Interoperability for Ontology Development and Support with crowd 2.0 · IJCAI 2021
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology › ontology engineering
ontology visualization
0.512021
Web Interoperability for Ontology Development and Support with crowd 2.0 · IJCAI 2021
YearPublicationVenuePosition
2021 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.
Germán Alejandro Braun, Giuliano Marinelli, Emiliano Rios Gavagnin, Laura Andrea Cecchi, Pablo R. Fillottrani
IJCAI3