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Nancy E. Hall

dblp:92/580 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2

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
Spatial and temporal data management · 38% Query processing and optimization · 38% Data models and query languages · 25%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 77% Distributed systems · 23%

Topics — the 2 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Query processing and optimization
parallel query processing		 0.011997
Building a Scaleable Geo-Spatial DBMS: Technology, Implementation, and Evaluation · SIGMOD Conference 1997
Data models and query languages › object-oriented database
persistent object system		 0.011994
Shoring Up Persistent Applications · SIGMOD Conference 1994

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

extensible server customization · 0.0spatial partitioning · 0.0parallel query execution · 0.0
YearPublicationVenuePosition
1997 Building a Scaleable Geo-Spatial DBMS: Technology, Implementation, and Evaluation
abstract
This paper presents a number of new techniques for parallelizing geo-spatial database systems and discusses their implementation in the Paradise object-relational database system. The effectiveness of these techniques is demonstrated using a variety of complex geo-spatial queries over a 120 GB global geo-spatial data set.
Jignesh M. Patel, Jie-Bing Yu, Navin Kabra, Kristin Tufte, Biswadeep Nag, Josef Burger, Nancy E. Hall, Karthikeyan Ramasamy, Roger Lueder, Curt J. Ellmann, Jim Kupsch, Shelly Guo, David J. DeWitt, Jeffrey F. Naughton
 SIGMOD Conference7
1994 Shoring Up Persistent Applications
abstract
SHORE (Scalable Heterogeneous Object REpository) is a persistent object system under development at the University of Wisconsin. SHORE represents a merger of object-oriented database and file system technologies. In this paper we give the goals and motivation for SHORE, and describe how SHORE provides features of both technologies. We also describe some novel aspects of the SHORE architecture, including a symmetric peer-to-peer server architecture, server customization through an extensible value-added server facility, and support for scalability on multiprocessor systems. An initial version of SHORE is already operational, and we expect a release of Version 1 in mid-1994.
Michael J. Carey 0001, David J. DeWitt, Michael J. Franklin, Nancy E. Hall, Mark L. McAuliffe, Jeffrey F. Naughton, Daniel T. Schuh, Marvin H. Solomon, C. K. Tan, Odysseas G. Tsatalos, Seth J. White, Mike Zwilling
 SIGMOD Conference4