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

Eliane Perna

dblp:36/3104 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › computer-aided design › feature-based modeling
feature-based CAD model
0.212014
Semantic interoperability of knowledge in feature-based CAD models · Comput. Aided Des. 2014
Data integration and cleaning › interoperability
semantic interoperability
0.112014
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
YearPublicationVenuePosition
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 Interoperability
abstract
In 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 Intelligence4