On the performance of fuzzy data querying

Mariela Curiel; Claudia González; Leonid Tineo; Angélica Urrutia

doi:10.1007/978-3-540-87993-0_12

On the performance of fuzzy data querying

Mariela Curiel
, Claudia González
, Leonid Tineo
, Angélica Urrutia

Universidad Simón Bolívar
Universidad Católica del Maule

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

We are interested in providing databases with fuzzy data representation and flexible querying capabilities. This work concerns with a performance analysis based on statistical techniques to evaluate methods for fuzzy queries over fuzzy data. We introduce the application of Derivation Principle for this kind of queries and show its practical benefit using a prototype that we have built on top of Oracle's DBMS.

Original language	English
Title of host publication	Scalable Uncertainty Management - Second International Conference, SUM 2008, Proceedings
Pages	134-145
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-540-87993-0_12
State	Published - 2008
Externally published	Yes
Event	2nd International Conference on Scalable Uncertainty Management, SUM 2008 - Naples, Italy Duration: 01 Oct 2008 → 03 Oct 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5291 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Scalable Uncertainty Management, SUM 2008
Country/Territory	Italy
City	Naples
Period	01/10/08 → 03/10/08

Keywords

Fuzzy database
Query processing
Querying performance

Access to Document

10.1007/978-3-540-87993-0_12

Cite this

Curiel, M., González, C., Tineo, L., & Urrutia, A. (2008). On the performance of fuzzy data querying. In Scalable Uncertainty Management - Second International Conference, SUM 2008, Proceedings (pp. 134-145). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5291 LNAI). https://doi.org/10.1007/978-3-540-87993-0_12

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title = "On the performance of fuzzy data querying",

abstract = "We are interested in providing databases with fuzzy data representation and flexible querying capabilities. This work concerns with a performance analysis based on statistical techniques to evaluate methods for fuzzy queries over fuzzy data. We introduce the application of Derivation Principle for this kind of queries and show its practical benefit using a prototype that we have built on top of Oracle's DBMS.",

keywords = "Fuzzy database, Query processing, Querying performance",

author = "Mariela Curiel and Claudia Gonz{\'a}lez and Leonid Tineo and Ang{\'e}lica Urrutia",

note = "Funding Information: This work was supported in part by the Venezuelan Foundation for Science, Innovation and Technology FONACIT Grant G-2005000278. Main reason of doing this scientific work is to glorify our lovely God: ”Whatever you do, work at it with all your heart, as working for the Lord, not for men, since you know that you will receive an inheritance from the Lord as a reward. It is the Lord Christ you are serving.” (Colossians 3:23-24).; 2nd International Conference on Scalable Uncertainty Management, SUM 2008 ; Conference date: 01-10-2008 Through 03-10-2008",

year = "2008",

doi = "10.1007/978-3-540-87993-0\_12",

language = "English",

isbn = "3540879927",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "134--145",

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Curiel, M, González, C, Tineo, L & Urrutia, A 2008, On the performance of fuzzy data querying. in Scalable Uncertainty Management - Second International Conference, SUM 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5291 LNAI, pp. 134-145, 2nd International Conference on Scalable Uncertainty Management, SUM 2008, Naples, Italy, 01/10/08. https://doi.org/10.1007/978-3-540-87993-0_12

On the performance of fuzzy data querying. / Curiel, Mariela; González, Claudia; Tineo, Leonid et al.
Scalable Uncertainty Management - Second International Conference, SUM 2008, Proceedings. 2008. p. 134-145 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5291 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - González, Claudia

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AU - Urrutia, Angélica

N1 - Funding Information: This work was supported in part by the Venezuelan Foundation for Science, Innovation and Technology FONACIT Grant G-2005000278. Main reason of doing this scientific work is to glorify our lovely God: ”Whatever you do, work at it with all your heart, as working for the Lord, not for men, since you know that you will receive an inheritance from the Lord as a reward. It is the Lord Christ you are serving.” (Colossians 3:23-24).

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N2 - We are interested in providing databases with fuzzy data representation and flexible querying capabilities. This work concerns with a performance analysis based on statistical techniques to evaluate methods for fuzzy queries over fuzzy data. We introduce the application of Derivation Principle for this kind of queries and show its practical benefit using a prototype that we have built on top of Oracle's DBMS.

AB - We are interested in providing databases with fuzzy data representation and flexible querying capabilities. This work concerns with a performance analysis based on statistical techniques to evaluate methods for fuzzy queries over fuzzy data. We introduce the application of Derivation Principle for this kind of queries and show its practical benefit using a prototype that we have built on top of Oracle's DBMS.

KW - Fuzzy database

KW - Query processing

KW - Querying performance

UR - https://www.scopus.com/pages/publications/77049111100

U2 - 10.1007/978-3-540-87993-0_12

DO - 10.1007/978-3-540-87993-0_12

M3 - Conference contribution

AN - SCOPUS:77049111100

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SN - 9783540879923

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

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T2 - 2nd International Conference on Scalable Uncertainty Management, SUM 2008

Y2 - 1 October 2008 through 3 October 2008

ER -

On the performance of fuzzy data querying

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