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Bradley A. Wilson

dblp:03/3008 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Information retrieval › document retrieval › concept-based retrieval
thesaurus-based retrieval
0.011991
Integrating Query, Thesaurus, and Documents Through a Common Visual Representation · SIGIR 1991
Information retrieval › search interfaces
visual query interface
0.011991
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
YearPublicationVenuePosition
1991 Integrating Query, Thesaurus, and Documents Through a Common Visual Representation
abstract
Documentretrieval 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
SIGIR3