Demo Data from SIGIR 2026 / reviewers in the wild / expert
Daniel Dvorak
dblp:00/2030
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-authorDatabases, 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.
| Software engineering, system software, and programming languages
1 paper |
Programming languages and type systems · 100% | |
| Artificial intelligence
2 papers |
Knowledge representation and reasoning · 63% Vision and language · 37% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Programming languages and type systems
language design |
0.0 | 1 | 2002 | R++: Adding Path-Based Rules to C++ · IEEE Trans. Knowl. Data Eng. 2002 |
Programming languages and type systems
object-oriented programming |
0.0 | 1 | 2002 | R++: Adding Path-Based Rules to C++ · IEEE Trans. Knowl. Data Eng. 2002 |
Computer vision › Vision and language
affective reasoning |
0.0 | 1 | 1995 | Device Representation and Reasoning with Affective Relations · IJCAI 1995 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
model-based reasoning |
0.0 | 1 | 1989 | Model-Based Monitoring of Dynamic Systems · IJCAI 1989 |
Knowledge, reasoning and agents › Knowledge representation and reasoning
qualitative reasoning |
0.0 | 1 | 1995 | Device Representation and Reasoning with Affective Relations · IJCAI 1995 |
Methods — techniques the papers use, named apart from their topics
path-based rules · 0.0data-driven rules · 0.0device representation · 0.0affective relations · 0.0model-based diagnosis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | R++: Adding Path-Based Rules to C++abstractObject-oriented languages and rule-based languages offer two distinct and useful programming abstractions. However, previous attempts to integrate data-driven rules into object-oriented languages have typically achieved an uneasy union at best. R++ is a new, closer integration of the rule-based and object-oriented paradigms that extends C++ with a single programming construct, the path-based rule, as a new kind of class member. Path-based rules-data-driven rules that are restricted to following pointers between objects-are like automatic methods that are triggered by changes to the objects they monitor. Path-based rules provide a useful level of abstraction that encourages a more declarative style of programming and are valuable in object-oriented designs as a means of modeling dynamic collections of interdependent objects. Unlike more traditional pattern-matching rules, path-based rules are not at odds with the object-oriented paradigm and offer performance advantages for many natural applications. Diane J. Litman, Peter F. Patel-Schneider, Anil Mishra, James M. Crawford, Daniel Dvorak |
IEEE Trans. Knowl. Data Eng. | 5 |
| 1995 | Device Representation and Reasoning with Affective Relations
James M. Crawford, Daniel Dvorak, Diane J. Litman, Anil Mishra, Peter F. Patel-Schneider |
IJCAI | 2 |
| 1989 | Model-Based Monitoring of Dynamic Systems
Daniel Dvorak, Benjamin Kuipers |
IJCAI | 1 |