Andrew Nierman

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4ranked-venue papers

2as 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 · 4 · 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

3 papers

Database system architecture and tuning · 41% Query processing and optimization · 34% Data models and query languages · 25%

Topics — the 4 heaviest of 5, each with the papers that count most for it

Topic	Papers	Last	Evidence papers
Query processing and optimization › query optimization cost-based optimization	1	2003	TIMBER: A Native System for Querying XML · SIGMOD Conference 2003
Data models and query languages › uncertain data › probabilistic data probabilistic XML	1	2002	ProTDB: Probabilistic Data in XML · VLDB 2002
Query processing and optimization XML query processing	2	2003	TIMBER: A Native System for Querying XML · SIGMOD Conference 2003 TIMBER: A native XML database · VLDB J. 2002
Data models and query languages › uncertain data probabilistic data model	1	2002	ProTDB: Probabilistic Data in XML · VLDB 2002

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

set-at-a-time query processing · 0.0algebraic rewriting · 0.0native XML storage · 0.0

Year	Publication	Venue	Position
2003	TIMBER: A Native System for Querying XML abstract XML has become ubiquitous, and XML data has to be managed in databases. The current industry standard is to map XML data into relational tables and store this information in a relational database. Such mappings create both expressive power problems and performance problems.In the TIMBER [7] project we are exploring the issues involved in storing XML in native format. We believe that the key intellectual contribution of this system is a comprehensive set-at-a-time query processing ability in a native XML store, with all the standard components of relational query processing, including algebraic rewriting and a cost-based optimizer. Stelios Paparizos, Shurug Al-Khalifa, Adriane Chapman, H. V. Jagadish, Laks V. S. Lakshmanan, Andrew Nierman, Jignesh M. Patel, Divesh Srivastava, Nuwee Wiwatwattana, Yuqing Wu, Cong Yu 0001	SIGMOD Conference	6
2002	ProTDB: Probabilistic Data in XML Andrew Nierman, H. V. Jagadish	VLDB	1
2002	Evaluating Structural Similarity in XML Documents Andrew Nierman, H. V. Jagadish	WebDB	1
2002	TIMBER: A native XML database H. V. Jagadish, Shurug Al-Khalifa, Adriane Chapman, Laks V. S. Lakshmanan, Andrew Nierman, Stelios Paparizos, Jignesh M. Patel, Divesh Srivastava, Nuwee Wiwatwattana, Yuqing Wu, Cong Yu 0001	VLDB J.	5