Demo Data from SIGIR 2026 / reviewers in the wild / expert
Emiliano Rios Gavagnin
dblp:278/1447
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning › ontology
ontology engineering |
0.5 | 1 | 2021 | 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 |
0.5 | 1 | 2021 | Web Interoperability for Ontology Development and Support with crowd 2.0 · IJCAI 2021 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Web Interoperability for Ontology Development and Support with crowd 2.0abstractIn 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 |
IJCAI | 3 |