Demo Data from EDBT 2026 / reviewers in the wild / expert
Shu-Yao Chien
dblp:05/2617
· DBLP profile ↗
6ranked-venue papers
6as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 5 · 5 first-authorComputer networks · 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
3 papers |
Query processing and optimization · 48% Data models and query languages · 24% Database system architecture and tuning · 21% | |
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Storage systems · 100% |
Topics — the 5 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization › XML query processing
structural join |
0.0 | 1 | 2002 | Efficient Structural Joins on Indexed XML Documents · VLDB 2002 |
Data models and query languages
XML data management |
0.0 | 1 | 2002 | Efficient schemes for managing multiversionXML documents · VLDB J. 2002 |
Query processing and optimization
XML query processing |
0.0 | 1 | 2002 | Efficient Structural Joins on Indexed XML Documents · VLDB 2002 |
Storage systems › file systems
versioning |
0.0 | 1 | 2002 | Efficient schemes for managing multiversionXML documents · VLDB J. 2002 |
Indexing and storage engines
XML indexing |
0.0 | 1 | 2002 | Efficient Structural Joins on Indexed XML Documents · VLDB 2002 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Supporting complex queries on multiversion XML documentsabstractManaging multiple versions of XML documents represents a critical requirement for many applications. Recently, there has been much work on supporting complex queries on XML data (e.g., regular path expressions, structural projections, etc.). In this article, we examine the problem of implementing efficiently such complex queries on multiversion XML documents. Our approach relies on a numbering scheme, whereby durable node numbers (DNNs) are used to preserve the order among the nodes of the XML tree while remaining invariant with respect to updates. Using the document's DNNs, we show that many complex queries are reduced to combinations of range version retrieval queries. We thus examine three alternative storage organizations/indexing schemes to efficiently evaluate range version retrieval queries in this environment. A thorough performance analysis is then presented to reveal the advantages of each scheme. Shu-Yao Chien, Vassilis J. Tsotras, Carlo Zaniolo |
ACM Trans. Internet Techn. | 1 |
| 2002 | Efficient Complex Query Support for Multiversion XML Documents
Shu-Yao Chien, Vassilis J. Tsotras, Carlo Zaniolo |
EDBT | 1 |
| 2002 | Efficient Structural Joins on Indexed XML Documents
Shu-Yao Chien, Zografoula Vagena, Vassilis J. Tsotras, Carlo Zaniolo |
VLDB | 1 |
| 2002 | Efficient schemes for managing multiversionXML documents
Shu-Yao Chien, Vassilis J. Tsotras, Carlo Zaniolo |
VLDB J. | 1 |
| 2001 | Efficient Management of Multiversion Documents by Object Referencing
Shu-Yao Chien, Vassilis J. Tsotras, Carlo Zaniolo |
VLDB | 1 |
| 2001 | Storing and Querying Multiversion XML Documents using Durable Node NumbersabstractManaging multiple versions of XML documents represents an important problem for many traditional applications, such as software configuration control, as well as new ones, such as link permanence of web documents. Research on managing multiversion XML documents seeks to provide efficient and robust techniques for storing, retrieving and querying such documents. In this paper we present a novel approach to version management that achieves these objectives by a scheme based on Durable Node Numbers and timestamps for the elements of XML documents. We first present efficient storage and retrieval techniques for multiversion documents. Then, we explore the indexing and clustering strategies needed to assure efficient support for complex queries on content and on document evolution. Shu-Yao Chien, Vassilis J. Tsotras, Carlo Zaniolo |
WISE (1) | 1 |