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D. M. Tolbert

dblp:61/1639 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1988
—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
Data models and query languages · 44% Database system architecture and tuning · 44% Database theory · 13%

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

TopicWeightPapersLastEvidence papers
Database system architecture and tuning › database system implementation
database management system design
0.011988
SIM: A Database System Based on the Semantic Data Model · SIGMOD Conference 1988
Data models and query languages › conceptual modeling
semantic data model
0.011988
SIM: A Database System Based on the Semantic Data Model · SIGMOD Conference 1988
Database theory
integrity constraints
0.011988
SIM: A Database System Based on the Semantic Data Model · SIGMOD Conference 1988

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

generalization hierarchy · 0.0English-like DML · 0.0
YearPublicationVenuePosition
1988 SIM: A Database System Based on the Semantic Data Model
abstract
SIM is a fully featured, commercially available database management system based on a semantic data model similar to Hammer and McLeod's SDM SIM has two primary modeling goals. The first is to narrow the gap between a user's real-world perception of data and the conceptual view imposed by the database system because of modeling presuppositions or limitations. The second goal is to allow, as much as possible, the semantics of data to be defined in the schema and make the database system responsible for enforcing its integrity SIM provides a rich set of constructs for schema definition, including those for specifying generalization hierarchies modeled by directed acyclic graphs, interobject relationships and integrity constraints. It also features a novel, easy-to-use, English-like DML. This paper describes the key modeling features of SIM, the architecture of the system and its implementation considerations.
D. Jagannathan, R. L. Guck, B. L. Fritchman, J. P. Thompson, D. M. Tolbert
SIGMOD Conference5