Demo Data from EDBT 2026 / reviewers in the wild / expert
Kenneth R. Grant
dblp:50/106
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2Databases, 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.
| Human-computer interaction and pervasive computing
3 papers |
Collaborative and social computing · 81% User interface design and tools · 19% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing
computer-supported cooperative work |
0.0 | 2 | 1987 | Semistructured Messages Are Surprisingly Useful for Computer-Supported Coordination · ACM Trans. Inf. Syst. 1987 Semi-structured messages are surprisingly useful for computer-supported coordination · CSCW 1986 |
Collaborative and social computing › computer-supported cooperative work › coordination mechanisms
coordination technology |
0.0 | 2 | 1987 | Semistructured Messages Are Surprisingly Useful for Computer-Supported Coordination · ACM Trans. Inf. Syst. 1987 Semi-structured messages are surprisingly useful for computer-supported coordination · CSCW 1986 |
Collaborative and social computing
collaborative filtering |
0.0 | 1 | 1986 | The information lens: an intelligent system for information sharing in organizations · CHI 1986 |
Collaborative and social computing
information sharing |
0.0 | 1 | 1986 | The information lens: an intelligent system for information sharing in organizations · CHI 1986 |
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge-based systems › rule-based systems
production rules |
0.0 | 1 | 1987 | Semistructured Messages Are Surprisingly Useful for Computer-Supported Coordination · ACM Trans. Inf. Syst. 1987 |
Methods — techniques the papers use, named apart from their topics
semistructured messages · 0.0production rules · 0.0inheritance · 0.0graphical editors · 0.0graphical editor · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | Semistructured Messages Are Surprisingly Useful for Computer-Supported CoordinationabstractThis paper argues that using a set of semistructured message templates is surprisingly helpful in designing a variety of computer-based communication and coordination systems. Semistructured messages can help provide automatic aids for (1) composing messages to be sent, (2) selecting, sorting, and prioritizing messages that are received, (3) responding automatically to some messages, and (4) suggesting likely responses to other messages. The use of these capabilities is illustrated in a range of applications including electronic mail, computer conferencing, calendar management, and task tracking. The applications show how ideas from artificial intelligence (such as inheritance and production rules) and ideas from user interface design (such as interactive graphical editors) can be combined in novel ways for dealing with semistructured messages. The final part of the paper discusses how communities can evolve a useful set of message type definitions. Thomas W. Malone, Kenneth R. Grant, Kum-Yew Lai, Ramana Rao, David Rosenblitt |
ACM Trans. Inf. Syst. | 2 |
| 1986 | The information lens: an intelligent system for information sharing in organizations
Thomas W. Malone, Kenneth R. Grant, Franklyn A. Turbak |
CHI | 2 |
| 1986 | Semi-structured messages are surprisingly useful for computer-supported coordinationabstractThis paper argues that using a set of semi-structured message templates is surprisingly helpful in designing a variety of computer-based communication and coordination systems. Semi-structured messages can help provide automatic aids for: (1) composing messages to be sent, (2) selecting, sorting, and prioritizing messages that are received, (3) responding automatically to some messages, and (4) suggesting likely responses to other messages. The use of these capabilities is illustrated in a range of applications including electronic mail, computer conferencing, calendar management, and task tracking. The applications show how ideas from artificial intelligence (such as inheritance and production rules) and ideas from user interface design (such as interactive graphical editors) can be combined in novel ways for dealing with semi-structured messages. The final part of the paper discusses how communities can evolve a useful set of message type definitions. Thomas W. Malone, Kenneth R. Grant, Kum-Yew Lai, Ramana Rao, David Rosenblitt |
CSCW | 2 |