Demo Data from EDBT 2026 / reviewers in the wild / expert
Denise Draper
dblp:41/6550 · also Denise L. Draper
· DBLP profile ↗
8ranked-venue papers
6as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 5 · 4 first-authorDatabases, data management, data science and information retrieval · 3 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorTheory of computation · 1
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 |
Data integration and cleaning · 83% Database system architecture and tuning · 17% | |
| Artificial intelligence
2 papers |
Planning, search and constraint satisfaction · 100% |
Topics — the 7 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Data integration and cleaning › semi-structured data integration
XML data integration |
0.1 | 2 | 2001 | The Nimble Integration Engine · SIGMOD Conference 2001 The Nimble XML Data Integration System · ICDE 2001 |
Data integration and cleaning
enterprise information integration |
0.1 | 1 | 2005 | Enterprise information integration: successes, challenges and controversies · SIGMOD Conference 2005 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
scheduling |
0.0 | 1 | 1999 | Cyclic Scheduling · IJCAI 1999 |
Data integration and cleaning
data warehouse |
0.0 | 1 | 2005 | Enterprise information integration: successes, challenges and controversies · SIGMOD Conference 2005 |
Data integration and cleaning › data integration system
virtual data integration |
0.0 | 1 | 2005 | Enterprise information integration: successes, challenges and controversies · SIGMOD Conference 2005 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning under uncertainty
planning under incomplete information |
0.0 | 1 | 1992 | An Approach to Planning with Incomplete Information · KR 1992 |
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
planning under uncertainty |
0.0 | 1 | 1992 | An Approach to Planning with Incomplete Information · KR 1992 |
Methods — techniques the papers use, named apart from their topics
on-the-fly data cleaning · 0.0caching and materialization · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Enterprise information integration: successes, challenges and controversiesabstractThe goal of EII systems is to provide uniform access to multiple data sources without having to first load them into a data warehouse. Since the late 1990's, several EII products have appeared in the marketplace and significant experience has been accumulated from fielding such systems. This collection of articles, by individuals who were involved in this industry in various ways, describes some of these experiences and points to the challenges ahead. Alon Y. Halevy, Naveen Ashish, Dina Bitton, Michael J. Carey 0001, Denise Draper, Jeff Pollock, Arnon Rosenthal, Vishal Sikka |
SIGMOD Conference | 5 |
| 2001 | The Nimble XML Data Integration SystemabstractFor better or for worse, XML has emerged as a de facto standard for data interchange. This consensus is likely to lead to increased demand for technology that allows users to integrate data from a variety of applications, repositories, and partners, which are located across the corporate intranet or on the Internet. Nimble Technology has spent two years developing a product to service this market. Originally conceived after decades of person-years of research on data integration, the product is now being deployed at several Fortune-500 beta-customer sites. The article reports on the key challenges faced in the design of our product and highlights some issues which require more attention from the research community. In particular we address architectural issues arising from designing a product to support XML as its core representation, choices in the design of the underlying algebra, on-the-fly data cleaning and caching and materialization policies. Denise Draper, Alon Y. Halevy, Daniel S. Weld |
ICDE | 1 |
| 2001 | The Nimble Integration EngineabstractThe consensus that XML has become the de facto standard for data interchange will spur demand for technology that allows users to integrate data from a variety of applications, repositories, and legacy systems which are located across the corporate intranet or at partner companies on the Internet. In the past two years, Nimble Technology has developed a product for this market. Spawned from over a persondecade of data integration research, the product has been deployed at several Fortune-500 beta-customer sites. This abstract reports on the key challenges we faced in the design of our product and highlights some issues we think require more attention from the research community. 1. Denise Draper, Alon Y. Halevy, Daniel S. Weld |
SIGMOD Conference | 1 |
| 1999 | Cyclic Scheduling
Denise Draper, Ari K. Jónsson, Dave Clements, David Joslin 0002 |
IJCAI | 1 |
| 1995 | Clustering Without (Thinking About) Triangulation
Denise Draper |
UAI | 1 |
| 1994 | Localized Partial Evaluation of Belief Networks
Denise Draper, Steve Hanks |
UAI | 1 |
| 1994 | A Probablistic Model of Action for Least-Commitment Planning with Information Gathering
Denise Draper, Steve Hanks, Daniel S. Weld |
UAI | 1 |
| 1992 | An Approach to Planning with Incomplete Information
Oren Etzioni, Steve Hanks, Daniel S. Weld, Denise Draper, Neal Lesh, Mike Williamson |
KR | 4 |