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Danette Chimenti

dblp:91/4807 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 1990
—ORCID · none

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

Databases, data management, data science and information retrieval · 3 · 3 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
Query processing and optimization · 47% Data models and query languages · 20% Database system architecture and tuning · 18%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database theory
deductive database		 0.011990
The LDL System Prototype · IEEE Trans. Knowl. Data Eng. 1990
Data models and query languages
logic-based data models		 0.011990
The LDL System Prototype · IEEE Trans. Knowl. Data Eng. 1990
Query processing and optimization
query compilation		 0.011990
The LDL System Prototype · IEEE Trans. Knowl. Data Eng. 1990
Query processing and optimization
query execution		 0.011990
The LDL System Prototype · IEEE Trans. Knowl. Data Eng. 1990
Query processing and optimization › query optimization › transformation-based optimization
rule-based optimization		 0.011990
The LDL System Prototype · IEEE Trans. Knowl. Data Eng. 1990
Data models and query languages › logic programming
logic-based data languages		 0.011989
Towards on Open Architecture for LDL · VLDB 1989

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

query compilation · 0.0logic programming · 0.0
YearPublicationVenuePosition
1990 Abstract Machine for LDL
Danette Chimenti, Ruben Gamboa, Ravi Krishnamurthy
 EDBT1
1990 The LDL System Prototype
abstract
The logic data language (LDL) system provides a declarative logic-based language and integrates relational database and logic programming technologies so as to support advanced data and knowledge-based applications. A comprehensive overview of the system and a description of LDL language and the compilation techniques employed to translate LDL queries into target query execution plans on the stored data are presented. The architecture and runtime environment of the system and the optimization techniques employed in order to improve the performance and assure the safety of the compiled queries are given. The experience gained so far with the system and application areas where the LDL approach appears to be particularly effective are discussed.>
Danette Chimenti, Ruben Gamboa, Ravi Krishnamurthy, Shamim A. Naqvi, Shalom Tsur, Carlo Zaniolo
 IEEE Trans. Knowl. Data Eng.1
1989 Towards on Open Architecture for LDL
Danette Chimenti, Ruben Gamboa, Ravi Krishnamurthy
 VLDB1