256 research outputs found
Indexing a Fuzzy Database Using the Technique of Superimposed Coding - Cost Models and Measurements
Recently, new applications have emerged that require database management systems with uncertainty capabilities. Many of the existing approaches to modelling uncertainty in database management systems are based on the theory of fuzzy sets. High performance is a necessary precondition for the acceptance of such systems by end users. However, performance issues have been quite neglected in research on fuzzy database management systems so far. In this article they are addressed explicitly. We propose new index structures for fuzzy database management systems based on the well known technique of superimposed coding together with detailed cost models. The correctness of the cost models as well as the efficiency of the index structures proposed is validated by a number of measurements on experimental fuzzy databases
Intelligent query for real estate search
The purpose of this project is to improve search query accuracy in a real estate website by developing an intelligent query system which provides the best matching result for standard search criteria. This intelligent query website utilizes fuzzy logic and partial membership to filter query results based on user input data. Fuzzy logic helps obtain results that are otherwise not attainable from a non-fuzzy search. A non-fuzzy search entails search results that match exactly with the given criteria. This project also allows a user to do a free keyword search. This type of search uses synonyms of the keywords to query for houses. The resulting information will be more credible and precise than the traditional website because it provides a reasonable result, of the specified search, to the user
The relationship between IR and multimedia databases
Modern extensible database systems support multimedia data through ADTs. However, because of the problems with multimedia query formulation, this support is not sufficient.\ud
\ud
Multimedia querying requires an iterative search process involving many different representations of the objects in the database. The support that is needed is very similar to the processes in information retrieval.\ud
\ud
Based on this observation, we develop the miRRor architecture for multimedia query processing. We design a layered framework based on information retrieval techniques, to provide a usable query interface to the multimedia database.\ud
\ud
First, we introduce a concept layer to enable reasoning over low-level concepts in the database.\ud
\ud
Second, we add an evidential reasoning layer as an intermediate between the user and the concept layer.\ud
\ud
Third, we add the functionality to process the users' relevance feedback.\ud
\ud
We then adapt the inference network model from text retrieval to an evidential reasoning model for multimedia query processing.\ud
\ud
We conclude with an outline for implementation of miRRor on top of the Monet extensible database system
Processing Fuzzy Relational Queries Using Fuzzy Views
International audienceThis paper proposes two original approaches to the processing of fuzzy queries in a relational database context. The general idea is to use views, either materialized or not. In the first case, materialized views are used to store the satisfaction degrees related to user-defined fuzzy predicates, instead of calculating them at runtime by means of user functions embedded in the query (which induces an important overhead). In the second case, abstract views are used to efficiently access the tuples that belong to the Ī±-cut of the query result, by means of a derived Boolean selection condition
The exploration of a category theory-based virtual Geometrical product specification system for design and manufacturing
In order to ensure quality of products and to facilitate global outsourcing, almost all
the so-called āworld-classā manufacturing companies nowadays are applying various
tools and methods to maintain the consistency of a productās characteristics
throughout its manufacturing life cycle. Among these, for ensuring the consistency of
the geometric characteristics, a tolerancing language ā the Geometrical Product
Specification (GPS) has been widely adopted to precisely transform the functional
requirements from customers into manufactured workpieces expressed as tolerance
notes in technical drawings. Although commonly acknowledged by industrial users as
one of the most successful efforts in integrating existing manufacturing life-cycle
standards, current GPS implementations and software packages suffer from several
drawbacks in their practical use, possibly the most significant, the difficulties in
inferring the data for the ābestā solutions. The problem stemmed from the foundation
of data structures and knowledge-based system design. This indicates that there need
to be a ānewā software system to facilitate GPS applications.
The presented thesis introduced an innovative knowledge-based system ā the
VirtualGPS ā that provides an integrated GPS knowledge platform based on a stable
and efficient database structure with knowledge generation and accessing facilities.
The system focuses on solving the intrinsic product design and production problems
by acting as a virtual domain expert through translating GPS standards and rules into
the forms of computerized expert advices and warnings. Furthermore, this system can
be used as a training tool for young and new engineers to understand the huge amount
of GPS standards in a relative āquickerā manner.
The thesis started with a detailed discussion of the proposed categorical modelling
mechanism, which has been devised based on the Category Theory. It provided a
unified mechanism for knowledge acquisition and representation, knowledge-based
system design, and database schema modelling. As a core part for assessing this
knowledge-based system, the implementation of the categorical Database
Management System (DBMS) is also presented in this thesis. The focus then moved
on to demonstrate the design and implementation of the proposed VirtualGPS system.
The tests and evaluations of this system were illustrated in Chapter 6. Finally, the
thesis summarized the contributions to knowledge in Chapter 7.
After thoroughly reviewing the project, the conclusions reached construe that the
III
entire VirtualGPS system was designed and implemented to conform to Category
Theory and object-oriented programming rules. The initial tests and performance
analyses show that the system facilitates the geometric product manufacturing
operations and benefits the manufacturers and engineers alike from function designs,
to a manufacturing and verification
A Comprehensive Survey on Database Management System Fuzzing: Techniques, Taxonomy and Experimental Comparison
Database Management System (DBMS) fuzzing is an automated testing technique
aimed at detecting errors and vulnerabilities in DBMSs by generating, mutating,
and executing test cases. It not only reduces the time and cost of manual
testing but also enhances detection coverage, providing valuable assistance in
developing commercial DBMSs. Existing fuzzing surveys mainly focus on
general-purpose software. However, DBMSs are different from them in terms of
internal structure, input/output, and test objectives, requiring specialized
fuzzing strategies. Therefore, this paper focuses on DBMS fuzzing and provides
a comprehensive review and comparison of the methods in this field. We first
introduce the fundamental concepts. Then, we systematically define a general
fuzzing procedure and decompose and categorize existing methods. Furthermore,
we classify existing methods from the testing objective perspective, covering
various components in DBMSs. For representative works, more detailed
descriptions are provided to analyze their strengths and limitations. To
objectively evaluate the performance of each method, we present an open-source
DBMS fuzzing toolkit, OpenDBFuzz. Based on this toolkit, we conduct a detailed
experimental comparative analysis of existing methods and finally discuss
future research directions.Comment: 34 pages, 22 figure
Impliance: A Next Generation Information Management Appliance
ably successful in building a large market and adapting to the changes of the
last three decades, its impact on the broader market of information management
is surprisingly limited. If we were to design an information management system
from scratch, based upon today's requirements and hardware capabilities, would
it look anything like today's database systems?" In this paper, we introduce
Impliance, a next-generation information management system consisting of
hardware and software components integrated to form an easy-to-administer
appliance that can store, retrieve, and analyze all types of structured,
semi-structured, and unstructured information. We first summarize the trends
that will shape information management for the foreseeable future. Those trends
imply three major requirements for Impliance: (1) to be able to store, manage,
and uniformly query all data, not just structured records; (2) to be able to
scale out as the volume of this data grows; and (3) to be simple and robust in
operation. We then describe four key ideas that are uniquely combined in
Impliance to address these requirements, namely the ideas of: (a) integrating
software and off-the-shelf hardware into a generic information appliance; (b)
automatically discovering, organizing, and managing all data - unstructured as
well as structured - in a uniform way; (c) achieving scale-out by exploiting
simple, massive parallel processing, and (d) virtualizing compute and storage
resources to unify, simplify, and streamline the management of Impliance.
Impliance is an ambitious, long-term effort to define simpler, more robust, and
more scalable information systems for tomorrow's enterprises.Comment: This article is published under a Creative Commons License Agreement
(http://creativecommons.org/licenses/by/2.5/.) You may copy, distribute,
display, and perform the work, make derivative works and make commercial use
of the work, but, you must attribute the work to the author and CIDR 2007.
3rd Biennial Conference on Innovative Data Systems Research (CIDR) January
710, 2007, Asilomar, California, US
Content And Multimedia Database Management Systems
A database management system is a general-purpose software system that facilitates the processes of defining, constructing, and manipulating databases for various applications. The main characteristic of the ādatabase approachā is that it increases the value of data by its emphasis on data independence. DBMSs, and in particular those based on the relational data model, have been very successful at the management of administrative data in the business domain. This thesis has investigated data management in multimedia digital libraries, and its implications on the design of database management systems. The main problem of multimedia data management is providing access to the stored objects. The content structure of administrative data is easily represented in alphanumeric values. Thus, database technology has primarily focused on handling the objectsā logical structure. In the case of multimedia data, representation of content is far from trivial though, and not supported by current database management systems
08421 Abstracts Collection -- Uncertainty Management in Information Systems
From October 12 to 17, 2008 the Dagstuhl Seminar 08421 \u27`Uncertainty Management in Information Systems \u27\u27 was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. The abstracts of the plenary and session talks given during the seminar as well as those of the shown demos are put together in this paper
- ā¦