Demo Data from EDBT 2026 / reviewers in the wild / expert
Victor N. Askman
dblp:13/4484
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 1989
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 3Artificial intelligence and machine learning · 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
2 papers |
Information retrieval · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval
retrieval models |
0.0 | 2 | 1987 | Conceptual Information Retrieval Using RUBRIC · SIGIR 1987 RUBRIC - An Environment for Full Text Information Retrieval · SIGIR 1985 |
Information retrieval › search engines › semantic search
conceptual retrieval |
0.0 | 1 | 1987 | Conceptual Information Retrieval Using RUBRIC · SIGIR 1987 |
Information retrieval › search engines
full-text search |
0.0 | 1 | 1985 | RUBRIC - An Environment for Full Text Information Retrieval · SIGIR 1985 |
Methods — techniques the papers use, named apart from their topics
RUBRIC · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | A knowledge representation for conceptual information retrievalabstractThis article contains a detailed description of the knowledge representation used in RUBRIC, our concept-based, full-text information retrieval system. Since we view information retrieval as a process of evidential reasoning, the RUBRIC knowledge representation is designed to help maintain a clear distinction between descriptions of domain concepts, the documentary evidence for those concepts, and the beliefs about concepts that can be sustained on the basis of the evidence. This article is a consolidation of our earlier work in this area, containing, as it does, a revised language for defining concepts, an extended view of the role of evidence, and a formally grounded model of belief. Richard M. Tong, Lee A. Appelbaum, Victor N. Askman |
Int. J. Intell. Syst. | 3 |
| 1987 | Conceptual Information Retrieval Using RUBRICabstractArticle Free Access Share on Conceptual information retrieval using RUBRIC Authors: R. Tong Advanced Decision Systems, 201 San Antonio Circle, Suite 286, Mountain View, CA Advanced Decision Systems, 201 San Antonio Circle, Suite 286, Mountain View, CAView Profile , L. Appelbaum Advanced Decision Systems, 201 San Antonio Circle, Suite 286, Mountain View, CA Advanced Decision Systems, 201 San Antonio Circle, Suite 286, Mountain View, CAView Profile , V. Askman Advanced Decision Systems, 201 San Antonio Circle, Suite 286, Mountain View, CA Advanced Decision Systems, 201 San Antonio Circle, Suite 286, Mountain View, CAView Profile , J. Cunningham Advanced Decision Systems, 201 San Antonio Circle, Suite 286, Mountain View, CA Advanced Decision Systems, 201 San Antonio Circle, Suite 286, Mountain View, CAView Profile Authors Info & Claims SIGIR '87: Proceedings of the 10th annual international ACM SIGIR conference on Research and development in information retrievalNovember 1987 Pages 247–253https://doi.org/10.1145/42005.42033Online:01 November 1987Publication History 24citation577DownloadsMetricsTotal Citations24Total Downloads577Last 12 Months9Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF Richard M. Tong, Lee A. Appelbaum, Victor N. Askman, James F. Cunningham |
SIGIR | 3 |
| 1985 | RUBRIC - An Environment for Full Text Information Retrieval
Richard M. Tong, Victor N. Askman, James F. Cunningham, Carl J. Tollander |
SIGIR | 2 |