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Carl E. Taylor

dblp:34/357 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1975
—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
Indexing and storage engines · 50% Database system architecture and tuning · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning › relational database system
relational database implementation
0.011975
Binary Search Tree Complex - Towards the Implementation of Relations · VLDB 1975
Indexing and storage engines › storage management
storage structures
0.011975
Binary Search Tree Complex - Towards the Implementation of Relations · VLDB 1975
Distributed systems
distributed database
0.011975
Binary Search Tree Complex - Towards the Implementation of Relations · VLDB 1975

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

query mapping · 0.0binary search tree complex · 0.0
YearPublicationVenuePosition
1975 Binary Search Tree Complex - Towards the Implementation of Relations
abstract
In this paper we describe a general purpose relational data base system from both user's and system's viewpoints. The system is currently being implemented for the microprogrammable computer Interdata 85 at the Department of Computer Science, University of Kansas. The long range goal of this research is to implement a distributed data base system in a computer link where the Interdata 85 is connected to a large computer of different architecture and language capability, the Honeywell 635. Toward this goal, we propose a new physical storage structure called a binary search tree complex or BST complex. Primitives to manipulate BST complexes can be easily implemented for both machines. Queries, data manipulation operations and data definition operations specified by users can be mapped into these BST complex primitives; therefore the translation process can be independent of machine hardware. In this paper, we outline the capability of a user data language UDL-1 and its implementation in terms of BST complexes. A detailed description of all BST complex primitives appears in [LTD].
Y. Edmund Lien, Carl E. Taylor, James R. Driscoll, Mark L. Reynolds
VLDB2