Demo Data from SIGIR 2026 / reviewers in the wild / expert
Bradley A. Wilson
dblp:03/3008
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1991
—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 |
Information retrieval · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › document retrieval › concept-based retrieval
thesaurus-based retrieval |
0.0 | 1 | 1991 | Integrating Query, Thesaurus, and Documents Through a Common Visual Representation · SIGIR 1991 |
Information retrieval › search interfaces
visual query interface |
0.0 | 1 | 1991 | Integrating Query, Thesaurus, and Documents Through a Common Visual Representation · SIGIR 1991 |
Methods — techniques the papers use, named apart from their topics
fisheye views · 0.0direct manipulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Integrating Query, Thesaurus, and Documents Through a Common Visual RepresentationabstractDocumentretrieval is a highly interactive process dealing with large amounts of information.Visual representations em both provide a means for managing the complexity of large information structures and support an interface style well suited to interactive manipulation.The system we have designed utilizes visually displayed graphic structures and a direct manipulation interface style to supply an integrated environment for retrieval.A common visually displayed network structure is used for query, document conteng and term relations.A query can be modified through direct manipulation of its visual form by incorporating terms from any other information structure the system displays An associative thesaurus of terms and an interdocument network provide information about a document collection that can complement other retrieval aids Visualization of these large data structures makes use of fisheye views and overview diagrams to help overcome some of the difficulties of orientation and navigation in large information structures Richard H. Fowler, Wendy A. Lawrence-Fowler, Bradley A. Wilson |
SIGIR | 3 |