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Rowland R. Johnson

dblp:37/3512 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 1992
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3 · 2 first-author

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
Database system architecture and tuning · 67% Indexing and storage engines · 14% Query processing and optimization · 14%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
scientific data management		 0.011992
USD - A Database Management System for Scientific Research · SIGMOD Conference 1992
Computational science and engineering
scientific data management		 0.011992
USD - A Database Management System for Scientific Research · SIGMOD Conference 1992
Query processing and optimization › aggregation
aggregate functions		 0.011981
Modelling Summary Data · SIGMOD Conference 1981
Indexing and storage engines
synopsis structure		 0.011981
Modelling Summary Data · SIGMOD Conference 1981
Data models and query languages › relational model
extended relational model		 0.011981
Modelling Summary Data · SIGMOD Conference 1981

Methods — techniques the papers use, named apart from their topics

database management system design · 0.0query language design · 0.0
YearPublicationVenuePosition
1992 USD - A Database Management System for Scientific Research
abstract
No abstract available.
Rowland R. Johnson, Mandy Goldner, Mitch Lee, Keith McKay, Robert Shectman, John P. Woodruff
 SIGMOD Conference1
1981 Modelling Summary Data
abstract
Several problems in specifying aggregate functions in relational systems are investigated. We propose a solution to these problems in the form of an extension of the relational data model. In particular we introduce the concept of summary data. The query language STRAND is presented in order to describe retrieval operations on the extended model. STRAND allows a user to formulate queries involving aggregate functions without conceptualizing the query in terms of aggregation. Two example applications, proposal tracking and socio-demographic data bases, are used to illustrate the concepts of the extended model.
Rowland R. Johnson
 SIGMOD Conference1
1978 A Block Structured Query Language for Accessing a Relational Data Base
Anthony Q. Baxter, Rowland R. Johnson
 SIGIR2