Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael Valásek
dblp:29/6040
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2007
0000-0001-7260-6341ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorDatabases, 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% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 1 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 › domain knowledge
design knowledge |
0.0 | 1 | 2007 | Worlds and transformations: Supporting the sharing and reuse of engineering design knowledge · Int. J. Hum. Comput. Stud. 2007 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Worlds and transformations: Supporting the sharing and reuse of engineering design knowledge
Zdenek Zdráhal, Paul Mulholland, Michael Valásek, Ansgar Bernardi |
Int. J. Hum. Comput. Stud. | 3 |
| 2003 | A Toolkit and Methodology to Support the Collaborative Development and Reuse of Engineering Models
Zdenek Zdráhal, Paul Mulholland, Michael Valásek, Phil Sainter, Matt Koss, Lukas Trejtnar |
DEXA | 3 |
| 2000 | Knowledge-based approach for concurrent engineeringabstractDeals with the application of a knowledge-based model of a design process for the transformation of a traditional design procedure into a concurrent one. We propose several techniques based on knowledge-level models of design processes. The knowledge-level models are models of configuration or parametric design. The techniques either reduce the number of iteration cycles, increase the number of simultaneously executable parts, or directly apply operationalized knowledge-level models. We describe real examples of each such approach. Michael Valásek, M. Stefan |
KES | 1 |