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Jeffrey R. Horowitz

dblp:09/2309 · DBLP profile ↗
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1ranked-venue papers
1as 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 · 1 · 1 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
1 paper
Transaction processing and concurrency control · 77% Data integration and cleaning · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Transaction processing and concurrency control › distributed transaction processing
distributed database update
0.011992
Decomposing Heterogeneous Inter-Entity Relationship Updates · IEEE Trans. Knowl. Data Eng. 1992
Data integration and cleaning
heterogeneous data integration
0.011992
Decomposing Heterogeneous Inter-Entity Relationship Updates · IEEE Trans. Knowl. Data Eng. 1992

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

update rules · 0.0prototype views · 0.0
YearPublicationVenuePosition
1992 Decomposing Heterogeneous Inter-Entity Relationship Updates
abstract
New problems of updating views involving inter-entity relationships or joins are identified, beyond those reported previously in the literature. A general purpose method and a set of algorithms are presented for correctly decomposing multilingual update requests on a network of distributed heterogeneous databases. The method and algorithm also apply to both homogeneous nondistributed and distributed database environments. The method, called prototype views and update rules, applies to individual relationships in an entity relationship (ER) view of the network database and gives a floorplan for update decomposition. The network database view represents a unified conceptual view of all the individual databases in the heterogeneous network (i.e. of the objects shared across the network). The update request is decomposed into a sequence of intermediate control language steps to subsequently guide the particular updates to each of the underlying databases in the network. Individual database updates are performed by each particular database management system (DBMS).>
Jeffrey R. Horowitz, Alfonso F. Cardenas
IEEE Trans. Knowl. Data Eng.1