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Chee Chin Low

dblp:18/2687 · 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
Indexing and storage engines · 75% Data models and query languages · 25%

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

TopicWeightPapersLastEvidence papers
Indexing and storage engines › object-oriented database indexing
class hierarchy indexing
0.011992
H-trees: A Dynamic Associative Search Index for OODB · SIGMOD Conference 1992
Indexing and storage engines
multidimensional indexing
0.011992
H-trees: A Dynamic Associative Search Index for OODB · SIGMOD Conference 1992
Indexing and storage engines
object-oriented database indexing
0.011992
H-trees: A Dynamic Associative Search Index for OODB · SIGMOD Conference 1992
Data models and query languages
object-oriented data model
0.011992
H-trees: A Dynamic Associative Search Index for OODB · SIGMOD Conference 1992

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

performance analysis · 0.0
YearPublicationVenuePosition
1992 H-trees: A Dynamic Associative Search Index for OODB
abstract
The support of the superclass-subclass concept in object-oriented databases (OODB) makes an instance of a subclass also an instance of its superclass. As a result, the access scope of a query against a class in general includes the access scope of all its subclasses, unless specified otherwise. To support the superclass-subclass relationship efficiently, the index must achieve two objectives. First, the index must support efficient retrieval of instances from a single class. Second, it must also support efficient retrieval of instances from classes in a hierarchy of classes. In this paper, we propose a new index called the H-tree that supports efficient retrieval of instances of a single class as well as retrieval of instances of a class and its subclasses. The unique feature of H-trees is that they capture the superclass-subclass relationships. A performance analysis is conducted and both experimental and analytical results indicate that the H-tree is an efficient indexing structure for OODB.
Chee Chin Low, Beng Chin Ooi, Hongjun Lu
SIGMOD Conference1