Demo Data from EDBT 2026 / reviewers in the wild / expert
Chen Qun
dblp:43/3640
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2003
—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-authorArtificial intelligence and machine learning · 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
1 paper |
Indexing and storage engines · 77% Query processing and optimization · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization › XML query processing
path expression evaluation |
0.0 | 1 | 2003 | D(k)-Index: An Adaptive Structural Summary for Graph-Structured Data · SIGMOD Conference 2003 |
Methods — techniques the papers use, named apart from their topics
bisimulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | D(k)-Index: An Adaptive Structural Summary for Graph-Structured DataabstractTo facilitate queries over semi-structured data, various structural summaries have been proposed. Structural summaries are derived directly from the data and serve as indices for evaluating path expressions on semi-structured or XML data. We introduce the D(k) index, an adaptive structural summary for general graph structured documents. Building on previous work, 1-index and A(k) index, the D(k)-index is also based on the concept of bisimilarity. However, as a generalization of the 1-index and A(k)-index, the D(k) index possesses the adaptive ability to adjust its structure according to the current query load. This dynamism also facilitates efficient update algorithms, which are crucial to practical applications of structural indices, but have not been adequately addressed in previous index proposals. Our experiments show that the D(k) index is a more effective structural summary than previous static ones, as a result of its query load sensitivity. In addition, update operations on the D(k) index can be performed more efficiently than on its predecessors. Chen Qun, Andrew Lim 0001, Kian Win Ong |
SIGMOD Conference | 1 |
| 2001 | Page Access Sequencing in Join Processing with Limited Buffer Space
Chen Qun, Andrew Lim 0001, Wee-Chong Oon |
DEXA | 1 |
| 2001 | Index and Data Allocation in Mobile Broadcast
Chen Qun, Andrew Lim 0001, Yi Zhu 0007 |
DEXA | 1 |