Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
IFOOD: An intelligent fuzzy object-oriented database architecture
Date
2003-09-01
Author
Koyuncu, M
Yazıcı, Adnan
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
206
views
0
downloads
Cite This
Next generation information system applications require powerful and intelligent information management that necessitates an efficient interaction between database and knowledge base technologies. It is also important for these applications to incorporate uncertainty in data objects, in integrity constraints, and/or in application. In this study, we propose an intelligent object-oriented database architecture, IFOOD, which permits the flexible modeling and querying of complex data and knowledge including uncertainty with powerful retrieval capability.
Subject Keywords
Computational Theory and Mathematics
,
Information Systems
,
Computer Science Applications
URI
https://hdl.handle.net/11511/62583
Journal
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
DOI
https://doi.org/10.1109/tkde.2003.1232269
Collections
Department of Computer Engineering, Article
Suggestions
OpenMETU
Core
PLGAKD: A PUF-based Lightweight Group Authentication and Key Distribution Protocol
Yıldız, Hüsnü; Cenk, Murat; Onur, Ertan (Institute of Electrical and Electronics Engineers (IEEE), 2020-11-01)
Securing Internet of Things (IoT) applications that collect and transport sensitive data by guaranteeing authenticity, integrity, and confidentiality is a critical challenge. Reducing computation and communication overhead of security functions is also a key concern since a large number of constrained devices may take place in such applications. Our main focus in this paper is group authentication and key management in IoT. The existing group authentication and key management protocols in the literature per...
EPICS: A Framework for Enforcing Security Policies in Composite Web Services
Ranchal, Rohit; Bhargava, Bharat; Angın, Pelin; ben Othmane, Lotfi (Institute of Electrical and Electronics Engineers (IEEE), 2019-05-01)
With advances in cloud computing and the emergence of service marketplaces, the popularity of composite services marks a paradigm shift from single-domain monolithic systems to cross-domain distributed services, which raises important privacy and security concerns. Access control becomes a challenge in such systems because authentication, authorization and data disclosure may take place across endpoints that are not known to clients. The clients lack options for specifying policies to control the sharing of...
On the performance, availability and energy consumption modelling of clustered IoT systems
Ever, Enver; Shah, Purav; Mostarda, Leonardo; Omondi, Fredrick; Gemikonakli, Orhan (Springer Science and Business Media LLC, 2019-12-01)
Wireless sensor networks (WSNs) form a large part of the ecosystem of the Internet of Things (IoT), hence they have numerous application domains with varying performance and availability requirements. Limited resources that include processing capability, queue capacity, and available energy in addition to frequent node and link failures degrade the performance and availability of these networks. In an attempt to efficiently utilise the limited resources and to maintain the reliable network with efficient da...
Big data maturity models for the public sector: a review of state and organizational level models
OKUYUCU, ARAS; Yavuz, Nilay (Emerald, 2020-07-01)
Purpose Despite several big data maturity models developed for businesses, assessment of big data maturity in the public sector is an under-explored yet important area. Accordingly, the purpose of this study is to identify the big data maturity models developed specifically for the public sector and evaluate two major big data maturity models in that respect: one at the state level and the other at the organizational level. Design/methodology/approach A literature search is conducted using Web of Science an...
A fuzzy Petri net model for intelligent databases
Bostan-Korpeoglu, Burcin; Yazıcı, Adnan (Elsevier BV, 2007-08-01)
Knowledge intensive applications require an intelligent environment, which can perform deductions in response to user queries or events that occur inside or outside of the applications. For that, we propose a fuzzy Petri net (FPN) model to represent knowledge and the behavior of an intelligent object-oriented database environment, which integrates fuzzy, active and deductive rules with database objects. The behavior of a system can be unpredictable due to the rules triggering or untriggering each other (non...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Koyuncu and A. Yazıcı, “IFOOD: An intelligent fuzzy object-oriented database architecture,”
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
, pp. 1137–1154, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62583.