Extending temporal databases to deal with telic/atelic medical data

Paolo Terenziani, Richard Thomas Snodgrass, Alessio Bottrighi, Mauro Torchio, Gianpaolo Molino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In the area of Medical Informatics, there is an increasing realization that temporal information plays a crucial role, so that suitable database models and query languages are needed to store and support it. In this paper we show that current approaches developed within the database field have some limitations even from the point of view of the data model, so that an important class of temporal medical data cannot be properly represented. We propose a new three-sorted model and a query language that overcome such limitations.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages58-66
Number of pages9
Volume3581 LNAI
StatePublished - 2005
Event10th Conference on Artificial Intelligence in Medicine, AIME 2005 - Aberdeen, United Kingdom
Duration: Jul 23 2005Jul 27 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3581 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other10th Conference on Artificial Intelligence in Medicine, AIME 2005
CountryUnited Kingdom
CityAberdeen
Period7/23/057/27/05

Fingerprint

Temporal Databases
Query languages
Query Language
Language
Medical Informatics
Databases
Data Model
Data structures
Model
Class

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Terenziani, P., Snodgrass, R. T., Bottrighi, A., Torchio, M., & Molino, G. (2005). Extending temporal databases to deal with telic/atelic medical data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3581 LNAI, pp. 58-66). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3581 LNAI).

Extending temporal databases to deal with telic/atelic medical data. / Terenziani, Paolo; Snodgrass, Richard Thomas; Bottrighi, Alessio; Torchio, Mauro; Molino, Gianpaolo.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3581 LNAI 2005. p. 58-66 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3581 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Terenziani, P, Snodgrass, RT, Bottrighi, A, Torchio, M & Molino, G 2005, Extending temporal databases to deal with telic/atelic medical data. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 3581 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3581 LNAI, pp. 58-66, 10th Conference on Artificial Intelligence in Medicine, AIME 2005, Aberdeen, United Kingdom, 7/23/05.
Terenziani P, Snodgrass RT, Bottrighi A, Torchio M, Molino G. Extending temporal databases to deal with telic/atelic medical data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3581 LNAI. 2005. p. 58-66. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Terenziani, Paolo ; Snodgrass, Richard Thomas ; Bottrighi, Alessio ; Torchio, Mauro ; Molino, Gianpaolo. / Extending temporal databases to deal with telic/atelic medical data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 3581 LNAI 2005. pp. 58-66 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{6f677729badc4786bee1f71fb3ab2bbb,
title = "Extending temporal databases to deal with telic/atelic medical data",
abstract = "In the area of Medical Informatics, there is an increasing realization that temporal information plays a crucial role, so that suitable database models and query languages are needed to store and support it. In this paper we show that current approaches developed within the database field have some limitations even from the point of view of the data model, so that an important class of temporal medical data cannot be properly represented. We propose a new three-sorted model and a query language that overcome such limitations.",
author = "Paolo Terenziani and Snodgrass, {Richard Thomas} and Alessio Bottrighi and Mauro Torchio and Gianpaolo Molino",
year = "2005",
language = "English (US)",
isbn = "3540278311",
volume = "3581 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "58--66",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Extending temporal databases to deal with telic/atelic medical data

AU - Terenziani, Paolo

AU - Snodgrass, Richard Thomas

AU - Bottrighi, Alessio

AU - Torchio, Mauro

AU - Molino, Gianpaolo

PY - 2005

Y1 - 2005

N2 - In the area of Medical Informatics, there is an increasing realization that temporal information plays a crucial role, so that suitable database models and query languages are needed to store and support it. In this paper we show that current approaches developed within the database field have some limitations even from the point of view of the data model, so that an important class of temporal medical data cannot be properly represented. We propose a new three-sorted model and a query language that overcome such limitations.

AB - In the area of Medical Informatics, there is an increasing realization that temporal information plays a crucial role, so that suitable database models and query languages are needed to store and support it. In this paper we show that current approaches developed within the database field have some limitations even from the point of view of the data model, so that an important class of temporal medical data cannot be properly represented. We propose a new three-sorted model and a query language that overcome such limitations.

UR - http://www.scopus.com/inward/record.url?scp=26944481104&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=26944481104&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:26944481104

SN - 3540278311

SN - 9783540278313

VL - 3581 LNAI

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 58

EP - 66

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -