Spatial databases accomplishments and research needs

Shashi Shekhar, Sanjay Chawla, Siva Ravada, Andrew Fetterer, Xuan Liu, Chang Tien Lu

Research output: Contribution to journalArticle

116 Citations (Scopus)

Abstract

Spatial databases, addressing the growing data management and analysis needs of spatial applications such as Geographic Information Systems, have been an active area of research for more than two decades. This research has produced a taxonomy of models for space, spatial data types and operators, spatial query languages and processing strategies, as well as spatial indexes and clustering techniques. However, more research is needed to improve support for network and field data, as well as query processing (e.g., cost models, bulk load). Another important need is to apply spatial data management accomplishments to newer applications, such as data warehouses and multimedia information systems. The objective of this paper is to identify recent accomplishments and associated research needs of the near term.

Original languageEnglish
Pages (from-to)45-55
Number of pages11
JournalIEEE Transactions on Knowledge and Data Engineering
Volume11
Issue number1
DOIs
Publication statusPublished - 1999
Externally publishedYes

Fingerprint

Query processing
Information management
Data warehouses
Query languages
Taxonomies
Geographic information systems
Information systems
Costs

Keywords

  • Databases
  • Geographic information systems
  • Multidimensional
  • Object-relational
  • Spatial databases

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Information Systems

Cite this

Spatial databases accomplishments and research needs. / Shekhar, Shashi; Chawla, Sanjay; Ravada, Siva; Fetterer, Andrew; Liu, Xuan; Lu, Chang Tien.

In: IEEE Transactions on Knowledge and Data Engineering, Vol. 11, No. 1, 1999, p. 45-55.

Research output: Contribution to journalArticle

Shekhar, Shashi ; Chawla, Sanjay ; Ravada, Siva ; Fetterer, Andrew ; Liu, Xuan ; Lu, Chang Tien. / Spatial databases accomplishments and research needs. In: IEEE Transactions on Knowledge and Data Engineering. 1999 ; Vol. 11, No. 1. pp. 45-55.
@article{0f9f324fb8d44900a9d0f59a8b75ded0,
title = "Spatial databases accomplishments and research needs",
abstract = "Spatial databases, addressing the growing data management and analysis needs of spatial applications such as Geographic Information Systems, have been an active area of research for more than two decades. This research has produced a taxonomy of models for space, spatial data types and operators, spatial query languages and processing strategies, as well as spatial indexes and clustering techniques. However, more research is needed to improve support for network and field data, as well as query processing (e.g., cost models, bulk load). Another important need is to apply spatial data management accomplishments to newer applications, such as data warehouses and multimedia information systems. The objective of this paper is to identify recent accomplishments and associated research needs of the near term.",
keywords = "Databases, Geographic information systems, Multidimensional, Object-relational, Spatial databases",
author = "Shashi Shekhar and Sanjay Chawla and Siva Ravada and Andrew Fetterer and Xuan Liu and Lu, {Chang Tien}",
year = "1999",
doi = "10.1109/69.755614",
language = "English",
volume = "11",
pages = "45--55",
journal = "IEEE Transactions on Knowledge and Data Engineering",
issn = "1041-4347",
publisher = "IEEE Computer Society",
number = "1",

}

TY - JOUR

T1 - Spatial databases accomplishments and research needs

AU - Shekhar, Shashi

AU - Chawla, Sanjay

AU - Ravada, Siva

AU - Fetterer, Andrew

AU - Liu, Xuan

AU - Lu, Chang Tien

PY - 1999

Y1 - 1999

N2 - Spatial databases, addressing the growing data management and analysis needs of spatial applications such as Geographic Information Systems, have been an active area of research for more than two decades. This research has produced a taxonomy of models for space, spatial data types and operators, spatial query languages and processing strategies, as well as spatial indexes and clustering techniques. However, more research is needed to improve support for network and field data, as well as query processing (e.g., cost models, bulk load). Another important need is to apply spatial data management accomplishments to newer applications, such as data warehouses and multimedia information systems. The objective of this paper is to identify recent accomplishments and associated research needs of the near term.

AB - Spatial databases, addressing the growing data management and analysis needs of spatial applications such as Geographic Information Systems, have been an active area of research for more than two decades. This research has produced a taxonomy of models for space, spatial data types and operators, spatial query languages and processing strategies, as well as spatial indexes and clustering techniques. However, more research is needed to improve support for network and field data, as well as query processing (e.g., cost models, bulk load). Another important need is to apply spatial data management accomplishments to newer applications, such as data warehouses and multimedia information systems. The objective of this paper is to identify recent accomplishments and associated research needs of the near term.

KW - Databases

KW - Geographic information systems

KW - Multidimensional

KW - Object-relational

KW - Spatial databases

UR - http://www.scopus.com/inward/record.url?scp=0032679423&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032679423&partnerID=8YFLogxK

U2 - 10.1109/69.755614

DO - 10.1109/69.755614

M3 - Article

VL - 11

SP - 45

EP - 55

JO - IEEE Transactions on Knowledge and Data Engineering

JF - IEEE Transactions on Knowledge and Data Engineering

SN - 1041-4347

IS - 1

ER -