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ROBUST MODULE BASED DATA MANAGEMENTUnder the guidance of: Mr.SNS Kalyan Bharadwaj B M. Tech(CSE),Asst. ProfessorBy:D.Srinivas (11Q91A0580)A.Anusha (11Q91A0566)D.Shiva Krishna (11Q91A0579)K.Bharat (11Q91A0595)
ContentsAbstractExisting SystemDisadvantages Of Existing SystemProposed SystemAdvantages Of Proposed SystemModulesModules DescriptionSystem DesignSystem ImplementationConclusion
Abstract
The current trend for building an ontology-based data management system (DMS) is to capitalize on effort made to design a pre-existing well-established DMS.
In this project, we extend the existing definitions of modules and we introduce novel properties. The robustness that provide a means for checking easily that a robust module-based DMS evolves safely w.r.t both the schema and the data of the reference DMS.
Existing system The current trend for building an ontology-based data management system (DMS) is to capitalize on efforts made to design a preexisting well-established DMS (a reference system).
The method amounts to extracting from the reference DMS a piece of schema relevant to the new application needs a module possibly personalizing it with extra-constraints w.r.t. the application under construction, and then managing a dataset using the resulting schema.
Disadvantages:1.This is Method Not Maintain Easy.
Searching data
Get related data and slow rep. close
Existing ,data is Method Not Maintain Easy
Search Engine FLOW GRAPH FOR EXISTING SYSYTEM
Proposed systemHere, we extend the existing definitions of modules and we introduce novel properties of robustness that provide means for checking easily that a robust module-based DMS evolves safely w.r.t. both the schema and the data of the reference DMS.
We carry out our investigations in the setting of description logics which underlie modern ontology languages, like RDFS, OWL, and OWL2 from W3C.
Proposed System flow chart:-
Resolving from existing, very useful to maintain Data, very Easy
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Advantages:This is very useful to maintain Data. Search and retrieve the data is very Easy. User friendly.Time complexity will be reduced.Maintenance cost will be reduced.In our Proposing System, we are using two new techniques like view by date and view by string.
Modules
1. User Module2. Global Answer Illustration3. Reducing Data Storage Illustration4. Module-Based Data Management
Module descriptionUser Module: In this module, Users are having authentication and security to access the detail which is presented in the ontology system. Before accessing or searching the details user should have the account in that otherwise they should register first.
Global Answer Illustration: Suppose now that our DMS can answer conjunctive queries .In some situation, it is interesting to provide answers from our DMS together with the reference one, called global answers, typically when our own DMS provides no or too few answers.
Reducing Data Storage Illustration: Computing edit distance exactly is a costly operation. Several techniques have been proposed for identifying candidate strings within a small edit distance from a query string fast.
Module-Based Data Management: The main idea underlying the notion of module of a Tbox is to capture some constraints of the Tbox, including all the (implied) constraints built upon a given signature, denoted the signature of interest. Our definition of module extends and encompasses the existing definitions
System DesignData Flow Diagram The DFD is also called as bubble chart. It is a simple graphical formalism that can be used to represent a system in terms of the input data to the system, various processing carried out on these data, and the output data is generated by the system.
Data Flow Diagram
User
Admin
Publisher
Use case diagram
Sequence diagram
Collaboration diagram
Class diagram
Object diagram
State Chart diagram
Activity diagram
Component diagram
Deployment diagram
System Implementation S/W System Configuration:- Operating System : Windows XP Application Server : Tomcat5.0 Front End : HTML, Java, Jsp Scripts : JavaScript. Server side Script : Java Server Pages. Database : Mysql 5.0 Database Connectivity : JDBC.
H/W System Configuration:- Processor - Pentium III Speed - 1.1 GHz RAM - 256 MB(min) Hard Disk - 20 GB Floppy Drive - 1.44 MB
ConclusionIn this project we define easy, fast and secure data management and data will be maintained easily and data can be search and retrieved very easily.As we are using robust model , which reduces both time and space complexity and reduces maintenance cost .The main advantage is the process is user-friendly.By using robust module we can search data by using the methods like view by date and view by string.
THANK U
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