EDBT 2026 Demo / reviewers in the wild / expert
Kai C. Wong
dblp:98/2027
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1977
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 2 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 |
Indexing and storage engines · 70% Query processing and optimization · 30% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Indexing and storage engines › query indexing
boolean expression indexing |
0.0 | 2 | 1977 | Interval Hierarchies and Their Application to Predicate Files · ACM Trans. Database Syst. 1977 Interval Hierarchies and Their Application to Predicate Files (Abstract) · SIGMOD Conference 1977 |
Indexing and storage engines › index maintenance
dynamic indexing |
0.0 | 1 | 1977 | Interval Hierarchies and Their Application to Predicate Files · ACM Trans. Database Syst. 1977 |
Methods — techniques the papers use, named apart from their topics
search algorithm design · 0.0dynamic index · 0.0complexity analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1977 | Interval Hierarchies and Their Application to Predicate Files (Abstract)abstractPredicates are used extensively in modern data base systems, for purposes ranging from user specification of associative accesses to data, to user-invisible system control functions such as concurrency control and data distribution. Collections of predicates, or predicate files, must be maintained and accessed efficiently. This paper describes a dynamic index, called an interval hierarchy, which supports several important retrieval operations on files of simple conjunctive predicates. Search and maintenance algorithms for interval hierarchies are given. For a file of n predicates, typical of the kind expected in practice, these algorithms require time equal to O(log n). Kai C. Wong, Murray Edelberg |
SIGMOD Conference | 1 |
| 1977 | Interval Hierarchies and Their Application to Predicate FilesabstractPredicates are used extensively in modern database systems for purposes ranging from user specification of associative accesses to data, to user-invisible system control functions such as concurrency control and data distribution. Collections of predicates, or predicate files, must be maintained and accessed efficiently. This paper describes a dynamic index, called an interval hierarchy, which supports several important retrieval operations on files of simple conjunctive predicates. Search and maintenance algorithms for interval hierarchies are given. For a file of n predicates, typical of the kind expected in practice, these algorithms require time equal to Ο (log n ). Kai C. Wong, Murray Edelberg |
ACM Trans. Database Syst. | 1 |