Database design and querying within the fuzzy semantic model

Rafik Bouaziz; Salem Chakhar; Vincent Mousseau; Sudha Ram; Abdelkader Telmoudi

doi:10.1016/j.ins.2007.05.013

Database design and querying within the fuzzy semantic model

Rafik Bouaziz, Salem Chakhar, Vincent Mousseau, Sudha Ram, Abdelkader Telmoudi

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribute, entity and class levels. The paper presents the principles and constructs of the FSM. It proposes ways to define the membership functions within all the constructs of the FSM. In addition, it provides a proposal for specifying FSM schema and introduce a query language adapted to FSM-based databases.

Original language	English (US)
Pages (from-to)	4598-4620
Number of pages	23
Journal	Information Sciences
Volume	177
Issue number	21
DOIs	https://doi.org/10.1016/j.ins.2007.05.013
State	Published - Nov 1 2007

Keywords

Database design
Flexible querying
Fuzzy database
Semantic modeling

ASJC Scopus subject areas

Software
Information Systems and Management
Artificial Intelligence
Theoretical Computer Science
Control and Systems Engineering
Computer Science Applications

Access to Document

10.1016/j.ins.2007.05.013

Cite this

@article{f69ca6226e7f4ab6b695f9a9e2b19c77,

title = "Database design and querying within the fuzzy semantic model",

abstract = "Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribute, entity and class levels. The paper presents the principles and constructs of the FSM. It proposes ways to define the membership functions within all the constructs of the FSM. In addition, it provides a proposal for specifying FSM schema and introduce a query language adapted to FSM-based databases.",

keywords = "Database design, Flexible querying, Fuzzy database, Semantic modeling",

author = "Rafik Bouaziz and Salem Chakhar and Vincent Mousseau and Sudha Ram and Abdelkader Telmoudi",

year = "2007",

month = nov,

day = "1",

doi = "10.1016/j.ins.2007.05.013",

language = "English (US)",

volume = "177",

pages = "4598--4620",

journal = "Information Sciences",

issn = "0020-0255",

publisher = "Elsevier Inc.",

number = "21",

}

TY - JOUR

T1 - Database design and querying within the fuzzy semantic model

AU - Bouaziz, Rafik

AU - Chakhar, Salem

AU - Mousseau, Vincent

AU - Ram, Sudha

AU - Telmoudi, Abdelkader

PY - 2007/11/1

Y1 - 2007/11/1

N2 - Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribute, entity and class levels. The paper presents the principles and constructs of the FSM. It proposes ways to define the membership functions within all the constructs of the FSM. In addition, it provides a proposal for specifying FSM schema and introduce a query language adapted to FSM-based databases.

AB - Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribute, entity and class levels. The paper presents the principles and constructs of the FSM. It proposes ways to define the membership functions within all the constructs of the FSM. In addition, it provides a proposal for specifying FSM schema and introduce a query language adapted to FSM-based databases.

KW - Database design

KW - Flexible querying

KW - Fuzzy database

KW - Semantic modeling

UR - http://www.scopus.com/inward/record.url?scp=34547850178&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34547850178&partnerID=8YFLogxK

U2 - 10.1016/j.ins.2007.05.013

DO - 10.1016/j.ins.2007.05.013

M3 - Article

AN - SCOPUS:34547850178

SN - 0020-0255

VL - 177

SP - 4598

EP - 4620

JO - Information Sciences

JF - Information Sciences

IS - 21

ER -

Database design and querying within the fuzzy semantic model

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this