Demo Data from VLDB 2026 / reviewers in the wild / expert
Roger Barker
dblp:69/2200
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1993
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 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.
| Databases, data mining, and information retrieval
1 paper |
Data models and query languages · 100% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data models and query languages › query language design
pictorial query language |
0.0 | 1 | 1993 | The Knowledge-Based Object-Oriented PICQUERY+ Language · IEEE Trans. Knowl. Data Eng. 1993 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge structures
hierarchical knowledge |
0.0 | 1 | 1993 | The Knowledge-Based Object-Oriented PICQUERY+ Language · IEEE Trans. Knowl. Data Eng. 1993 |
Methods — techniques the papers use, named apart from their topics
image processing · 0.0fuzzy matching · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1993 | The Knowledge-Based Object-Oriented PICQUERY+ LanguageabstractPICQUERY/sup +/, a high-level domain-independent query language for pictorial and alphanumeric database management, is introduced. The PICQUERY/sup +/ language and its underlying stacked image data model are enhanced with major advances that include: convenient specification of the data domain space among a multimedia database federation, visualization of underlying data models, knowledge-based hierarchies, and domain rules, understanding of high-level abstract data types, ability to perform data object matches based on imprecise or fuzzy descriptors, imprecise relational correlators, and temporal and object evolutionary events, specification of alphanumeric and image processing algorithms on data, and specification of alphanumeric and image visualization methods for user presentation. The power of PICQUERY/sup +/ is illustrated using examples drawn from the medical imaging domain. A graphical menu-driven user interface is demonstrated for this domain as an example of the menu interface capabilities of PICQUERY/sup +/.> Alfonso F. Cardenas, Ion Tim Ieong, Ricky K. Taira, Roger Barker, Claudine M. Breant |
IEEE Trans. Knowl. Data Eng. | 4 |