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Eser Sükan

dblp:27/2217 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

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

Databases, data management, data science and information retrieval · 2 · 1 first-authorArtificial intelligence and machine learning · 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
Data models and query languages · 39% Distributed and cloud data management · 30% Query processing and optimization · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Distributed and cloud data management
distributed query processing
0.011996
VISUAL: A Graphical Icon-Based Query Language · ICDE 1996
Query processing and optimization
parallel query processing
0.011996
VISUAL: A Graphical Icon-Based Query Language · ICDE 1996
Data models and query languages › query language
visual query language
0.011996
VISUAL: A Graphical Icon-Based Query Language · ICDE 1996
Data models and query languages
object-oriented data model
0.011996
VISUAL: A Graphical Icon-Based Query Language · ICDE 1996

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

formal semantics · 0.0
YearPublicationVenuePosition
1996 VISUAL: A Graphical Icon-Based Query Language
abstract
VISUAL is a graphical icon-based query language designed for scientific databases where visualization of the relationships are important for the domain scientist to express queries. Graphical objects are not tied to the underlying formalism; instead, they represent the relationships of the application domain. VISUAL supports relational, nested, and object-oriented models naturally and has formal basis. In addition to set and bag constructs for complex objects, sequences are also supported by the data model. Concepts of external and internal queries are developed as modularization tools. A new parallel/distributed query processing paradigm is presented. VISUAL query processing techniques are also discussed.
Nevzat Hurkan Balkir, Eser Sükan, Gultekin Özsoyoglu, Z. Meral Özsoyoglu
ICDE2
1995 Extended Set Operators for Nested Relations and Complex Objects
Eser Sükan, Z. Meral Özsoyoglu
DEXA1