EDBT 2026 Demo / reviewers in the wild / expert
David I. Blockley
dblp:49/6097
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Human-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
2 papers |
Usability and user experience research · 57% Design research and methods · 43% | |
| Artificial intelligence
1 paper |
Knowledge representation and reasoning · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usability and user experience research
cognitive modeling |
0.0 | 1 | 1995 | Cognitive and computer models of physical systems · Int. J. Hum. Comput. Stud. 1995 |
Design research and methods › research methodology
knowledge elicitation |
0.0 | 1 | 1991 | The Use of Grounded Theory for Conceptual Analysis in Knowledge Elicitation · Int. J. Man Mach. Stud. 1991 |
Design research and methods › qualitative analysis
grounded theory |
0.0 | 1 | 1991 | The Use of Grounded Theory for Conceptual Analysis in Knowledge Elicitation · Int. J. Man Mach. Stud. 1991 |
Methods — techniques the papers use, named apart from their topics
grounded theory · 0.0conceptual analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Uncertain inference using interval probability theory
James W. Hall, David I. Blockley, John P. Davis |
Int. J. Approx. Reason. | 2 |
| 1995 | Cognitive and computer models of physical systems
S. Chandra 0001, David I. Blockley |
Int. J. Hum. Comput. Stud. | 2 |
| 1991 | The Use of Grounded Theory for Conceptual Analysis in Knowledge Elicitation
Nick F. Pidgeon, Barry A. Turner, David I. Blockley |
Int. J. Man Mach. Stud. | 3 |
| 1990 | Interval probability theory for evidential supportabstractAn interval theory of probability is presented for use as a measure of evidential support in knowledge-based systems. an interval number is used to capture, in a relatively simple manner, features of fuzziness and incompleteness. the vertex method is used for the interval analysis. A new parameter (also an interval number), p, called the degree of dependence is introduced. the relationship of this interval probability with the theories of Dempster-Shafer, fuzzy sets, and Baldwin's support logic are discussed. the advantage of the theory is that it is based on a development of the axioms of probability, but allows that evidential support for a conjecture be separated from evidential support for the negation of the conjecture. W. Cui, David I. Blockley |
Int. J. Intell. Syst. | 2 |