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
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Myriam Ribière

dblp:57/6716 · DBLP profile ↗
← Back
3ranked-venue papers
0as first author
0since 2021 · last 2013
—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 · 1Human-computer interaction and ubiquitous computing · 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.

Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 100%
Databases, data mining, and information retrieval
1 paper
Knowledge graphs · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
knowledge management		 0.011999
Methods and tools for corporate knowledge management · Int. J. Hum. Comput. Stud. 1999
YearPublicationVenuePosition
2013 SIAM: Social Interaction Analysis for Multimedia
Jérôme Picault, Myriam Ribière
 ECIR2
2011 Enhancing Navigation in Virtual Worlds through Social Networks Analysis
Hakim Hacid, Karim Hebbar, Abderrahmane Maaradji, Mohamed Adel Saidi, Myriam Ribière, Johann Daigremont
 ISMIS5
1999 Methods and tools for corporate knowledge management
abstract
This article † is a survey of some methods, techniques and tools aimed at managing corporate knowledge from a corporate memory designer's perspective. In particular, it analyses problems and solutions related to the following steps: detection of needs of corporate memory, construction of the corporate memory, its diffusion (specially using the Internet technologies), use, evaluation and evolution
Rose Dieng, Olivier Corby, Alain Giboin, Myriam Ribière
 Int. J. Hum. Comput. Stud.4