Demo Data from SIGIR 2026 / reviewers in the wild / expert
Eliane Perna
dblp:36/3104
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1
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.
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data integration and cleaning · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › computer-aided design › feature-based modeling
feature-based CAD model |
0.2 | 1 | 2014 | Semantic interoperability of knowledge in feature-based CAD models · Comput. Aided Des. 2014 |
Data integration and cleaning › interoperability
semantic interoperability |
0.1 | 1 | 2014 | Semantic interoperability of knowledge in feature-based CAD models · Comput. Aided Des. 2014 |
Methods — techniques the papers use, named apart from their topics
ontology · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Semantic interoperability of knowledge in feature-based CAD models
Samer Abdul Ghafour, Parisa Ghodous, Behzad Shariat, Eliane Perna, Farzad Khosrowshahi |
Comput. Aided Des. | 4 |
| 2007 | A Common Design-Features Ontology for Product Data Semantics InteroperabilityabstractIn a collaborative design environment, various software tools are utilized to enhance the product development. This entails a meaningful representation and exchange of product data semantics across these different systems. Semantic interoperability of product information refers to enabling the exchange of design intelligence, including construction history, parameters, features, and constraints. This is a crucial difference compared to current standards such as STEP that deliver "dumb" geometry, where no design intent is associated. To enable semantics data exchange, we propose an ontology-based approach, consisting in developing a "Common Design Features Ontology", called CDFO. Interoperability among ontologies is fulfilled by defining several mapping rules. We use a descriptive logic-based language, notably OWL DL to represent formally our ontology. Samer Abdul Ghafour, Parisa Ghodous, Behzad Shariat, Eliane Perna |
Web Intelligence | 4 |