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
An intelligent fuzzy object-oriented database framework for video database applications
Download
index.pdf
Date
2009-08-01
Author
Ozgur, Nezihe Burcu
KOYUNCU, Murat
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
221
views
88
downloads
Cite This
Video database applications call for flexible and powerful modeling and querying facilities, which require an integration or interaction between database and knowledge-based technologies. It is also necessary for many real life video database applications to incorporate uncertainty, which naturally occurs due to the complex and subjective semantic content of video data. In this study, firstly, we introduce a fuzzy conceptual data model to represent the semantic content of video data. For that purpose, UML (unified modeling language) is utilized and extended to represent uncertain information along with video specific properties. Secondly, we present an intelligent fuzzy object-oriented database framework for video database applications. The introduced fuzzy conceptual model is used in this framework, which provides modeling of complex and rich semantic content and knowledge of video data including uncertainty. Moreover, it supports various flexible queries including (fuzzy) semantic, temporal and (fuzzy) spatial queries, based on the video data model. We think that the presented conceptual data model and the framework can be used for any video database application.
Subject Keywords
Logic
,
Artificial Intelligence
URI
https://hdl.handle.net/11511/46168
Journal
FUZZY SETS AND SYSTEMS
DOI
https://doi.org/10.1016/j.fss.2009.02.017
Collections
Department of Computer Engineering, Article
Suggestions
OpenMETU
Core
An intelligent fuzzy object-oriented database framework for video database applications
Özgür, Nezihe Burcu; Yazıcı, Adnan; Department of Computer Engineering (2007)
Video database applications call for flexible and powerful modeling and querying facilities, which require an integration or interaction between database and knowledge base technologies. It is also necessary for many real life video database applications to incorporate uncertainty, which naturally occurs due to the complex and subjective semantic content of video data. In this thesis study, firstly, a fuzzy conceptual data model is introduced to represent the semantic content of video data. UML (Unified Mod...
AN EFFICIENT DATABASE TRANSITIVE CLOSURE ALGORITHM
Toroslu, İsmail Hakkı; HENSCHEN, L (Springer Science and Business Media LLC, 1994-05-01)
The integration of logic rules and relational databases has recently emerged as an important technique for developing knowledge management systems. An important class of logic rules utilized by these systems is the so-called transitive closure rules, the processing of which requires the computation of the transitive closure of database relations referenced by these rules. This article presents a new algorithm suitable for computing the transitive closure of very large database relations. This algorithm proc...
A complete axiomatization for fuzzy functional and multivalued dependencies in fuzzy database relations
Sozat, MI; Yazıcı, Adnan (Elsevier BV, 2001-01-15)
This paper first introduces the formal definitions of fuzzy functional and multivalued dependencies which are given on the basis of the conformance values presented here. Second, the inference rules are listed after both fuzzy functional and multivalued dependencies are shown to be consistent, that is, they reduce to those of the classic functional and multivalued dependencies when crisp attributes are involved. Finally, the inference rules presented here are shown to be sound and complete for the family of...
Automated web service composition with event calculus
Aydın, Onur; Çiçekli, Fehime Nihan; Department of Computer Engineering (2005)
As the Web Services proliferate and complicate it is becoming an overwhelming job to manually prepare the Web Service Compositions which describe the communication and integration between Web Services. This thesis analyzes the usage of Event Calculus, which is one of the logical action-effect definition languages, for the automated preparation and execution of Web Service Compositions. In this context, planning capabilities of Event Calculus are utilized. Translations from Planning Domain Description Langua...
A Cloud Based Workflow for a Finite Element Analysis Preprocessor
Kurt, Tolga; Arıcı, Yalın; Kurç, Özgür (2015-03-24)
This paper presents a cloud based workflow and a software implementation that has a web-based GUI and a modular backend server which consists of an interface and many worker applications that are distributed over a network of computers or virtual machines. The implemented software is capable of three-dimensional modelling, mesh generation and analysis of large dam models using finite element and analysis. Visualization is performed with a web browser using the JavaScript library three.js which drives the We...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
N. B. Ozgur, M. KOYUNCU, and A. Yazıcı, “An intelligent fuzzy object-oriented database framework for video database applications,”
FUZZY SETS AND SYSTEMS
, pp. 2253–2274, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46168.