Demo Data from EDBT 2026 / reviewers in the wild / expert
S. Schweigert
dblp:19/3519
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1995
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › biological database
molecular biology databases |
0.0 | 1 | 1995 | Issues in incorporation semantic integrity in molecular biological object-oriented databases · Comput. Appl. Biosci. 1995 |
Methods — techniques the papers use, named apart from their topics
semantic constraints · 0.0object-oriented modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1995 | Issues in incorporation semantic integrity in molecular biological object-oriented databasesabstractIssues critical to ensuring semantic integrity in molecular biological data collections have been identified and include complexity, exceptions, missing data, changing models, holism and integration, delocalized data, interoperability and nomenclature. This combination is peculiar to biology and presents some interesting problems as a result. Little is known about semantic checking in object-oriented databases in general, but because such technology appears highly suitable for modeling biological data, it is appropriate to examine the ways in which object-oriented technology can support this functionality. It is concluded that object-oriented technology will support semantic checking even in a complex domain like biology. We propose 10 guidelines for future work including ways of treating exceptional cases and 'positioning' of constraints in a schema. S. Schweigert, P. V. Herde, Peter R. Sibbald |
Comput. Appl. Biosci. | 1 |