Demo Data from EDBT 2026 / reviewers in the wild / expert
Ivan Godard
dblp:37/1727
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1991
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 architecture, parallel and distributed computing, and storage systems
1 paper |
Storage systems · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data models and query languages · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › object storage
persistent object store |
0.0 | 1 | 1991 | The Kala Basket: A Semantic Primitive Unifying Object Transactions, Access Control, Versions, and Configurations · OOPSLA 1991 |
Data models and query languages
object-oriented database |
0.0 | 1 | 1991 | The Kala Basket: A Semantic Primitive Unifying Object Transactions, Access Control, Versions, and Configurations · OOPSLA 1991 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | The Kala Basket: A Semantic Primitive Unifying Object Transactions, Access Control, Versions, and ConfigurationsabstractKala is an untyped persistent store for practical object-based systems, such as OODBMS, OMS, and object-oriented languages with persistence.Baskets are dynamic groupings of immutable data elements managed by Kala.Baskets synthesize transaction, configuration management, and access control semantics, and thus offer a platform for implementing arbitrary such models.In this article we introduce Kala baskets, their design motivations and goals.We then explain Kala's basket mechanism in some detail.Finally, we offer a few examples of how baskets are used to implement features of arbitrary transaction, configuration, and access models. Sergui S. Simmel, Ivan Godard |
OOPSLA | 2 |