MULTIMEDIA DATABASES OVERVIEW

Size: px
Start display at page:

Download "MULTIMEDIA DATABASES OVERVIEW"

Transcription

1 MULTIMEDIA DATABASES OVERVIEW Recent developments in information systems technologies have resulted in computerizing many applications in various business areas. Data has become a critical resource in many organizations, therefore efficient access to data, sharing or extracting information from the data, and making use of this information have become urgent needs. As a result, many efforts to integrate the various data sources scattered across several sites as well as extract information from these databases in the form of patterns and trends. These data sources may be databases managed by database management systems, or they could be data warehoused in a repository from multiple data sources. The advent of the World Wide Web (WWW) in the mid 1990s has resulted in even greater demand for managing data, information, and knowledge effectively. There is now so much data on the Web that managing it with conventional tools is becoming almost impossible. New tools and techniques are needed to effectively manage these data. Therefore, various tools are being developed to provide interoperability and warehousing between multiple data sources and systems, as well as to extract information from the databases and warehouses on the Web. Data in Web databases are both structured and unstructured. Structured databases include those that have some structure such as relational and object databases. Unstructured databases include those that have very little structure such as text, image, audio, and video databases. In general, multimedia databases are unstructured. Some text databases are semistructured databases, meaning that they have partial structure. The developments in multimedia database management systems have exploded during the past decade. While numerous papers and some texts have appeared in multimedia databases, more recently these databases are being mined to extract useful information. Furthermore, multimedia databases are being accessed on the Web. That is, there is currently little information about providing a complete set of services for multimedia databases. These services include managing, mining, and integrating multimedia databases on the Web for an electronic enterprise. The focus of this book is on managing and mining multimedia databases for the electronic enterprise. We focus on database management system techniques for text, image, audio, and video databases. We then address issues and challenges regarding mining the multimedia databases to extract information that was previously unknown. Finally, we discuss the directions and challenges of integrating multimedia databases for the Web. In particular, e-business and its relationship to managing and mining multimedia databases will be discussed. As mentioned earlier, there are hardly any texts on providing a comprehensive set of services for multimedia data management, although numerous research papers have been published on this topic. The purpose of this book is to discuss complex ideas in multimedia data management and mining in a way that can be

2 understood by someone who wants background information in this area. Technical managers as well as those interested in technology will benefit from this book. We employ a data-centric approach to describe multimedia technologies. The concepts are explained using e-commerce and the Web as an application area. MULTIMEDIA DATABASE MANAGEMENT A multimedia database system is comprised of a multimedia database management system (MM-DBMS) that manages a multimedia database, which is a database containing multimedia data. Multimedia data may include structured data as well as semi structured and unstructured data such as voice, video, text, and images. That is, an MM-DBMS provides support for storing, manipulating, and retrieving multimedia data from a multimedia database. In a certain sense, a multimedia database system is a type of heterogeneous database system because it manages heterogeneous data types. An MM-DBMS must provide support for typical database management system functions. These include query processing, update processing, transaction management, storage management, metadata management, security, and integrity. In addition, in many cases, the various types of data such as voice and video have to be synchronized for display, and, therefore, real-time processing is also a major issue in an MM-DBMS. MM-DBMSs are becoming popular for various applications including C4I, CAD/CAM, air traffic control, and, particularly, entertainment. While the terms multimedia and hypermedia are often used interchangeably, we differentiate between the two. While an MM-DBMS manages a multimedia database, a hypermedia DBMS not only manages a multimedia database, but also provides support for browsing the database by following links. That is, a hypermedia DBMS contains an MM-DBMS. Recently, there has been much research on designing and developing MMDBMSs, and, as a result, prototypes and some commercial products are now available.3,4,21,61-63,92,102,129 However, as stated by Dao and Thuraisingham,124 there are several areas that need further work. Research on developing an appropriate data model to support data types such as video is needed. Some experts have proposed object-oriented database management systems (OO- DBMS) for storing and managing multimedia data because they have been found to be more suitable for handling large objects and multimedia data such as sound and video which consume considerable storage space.139 Although such systems show some promise, they are not sufficient to capture all of the requirements of multimedia applications. For example, in many cases, voice and video data which may be stored in objects have to be synchronized when displayed. The constraints for synchronization are not specified in the object models. Another area that needs research is the development of efficient techniques

3 for indexing. Data manipulation operations such as video editing are still in the early stages. Furthermore, the multimedia databases need to be integrated for many applications as they are distributed. Some Important Definitions Media Types and Multimedia Media refer to the types of information or types of information representation, such as alphanumeric data, images, audio, and video. There are many ways to classify media. Common classifications are based on physical formats and media relationships with time. Static media do not have a time dimension, and their contents and meanings do not depend on the presentation time. Static media include alphanumeric data, graphics, and still images. Dynamic media have time dimensions, and their meanings and correctness depend on the rate at which they are presented. Dynamic media include animation, audio, and video. These media have their intrinsic unit intervals or rates. For example, to convey a perceptually smooth movement, video must be played back at 25 frames per second (or 30 frames, depending on the video system used). Multimedia refers to a collection of media types used together. It is implied that at least one media type is not alphanumeric data (i.e., at least one media type is image, audio, or video). In this book, ''multimedia'' is used as an adjective so we will specifically say multimedia information, multimedia data, multimedia system, multimedia communications, multimedia applications, and so forth. Multimedia data refers to the computerreadable representation of multiple media types. Multimedia information refers to the information conveyed by multiple media types. Sometimes, multimedia information and multimedia data are used interchangeably. We sometimes use multimedia or media item and object to refer to any autonomous entity in an MIRS that can be queried, retrieved, and presented. The term "object" may not be properly defined in the technical object-oriented (OO) sense. The context should make it clear whether it is used in a general sense or refers to a properly defined object in an OO approach. Multimedia Indexing and Retrieval DBMSs retrieve items based on structured data using exact matching. IR is also called text-based retrieval. Content-based retrieval refers to retrieval based on actual media features such as color and shape, instead of text annotation of the media item. Content-based retrieval is normally based on similarity instead of an exact match between a query and a set of database items. MIRS refers to a basic system providing

4 multimedia information retrieval using a combination of DBMS, IR, and content-based retrieval techniques. In an MIRS, some issues such as versioning and security control may not be fully implemented. A fully fledged MIRS is called a multimedia DBMS (MMDBMS). Feature Extraction, Content Representation, and Indexing In MIRSs, one of the most important issues is feature extraction or content representation (what are the main features or contents in a multimedia item). Feature extraction may be an automatic or semiautomatic process. In some of the content based retrieval literature, feature extraction is also called indexing. When the term "index" is used as a noun, it refers to a data structure or to the organization of extracted features for efficient search and retrieval. DBMSs and Their Role in Handling Multimedia Data DBMSs are now well developed and used widely for structured data. The dominant DBMSs are relational database management systems (RDBMSs). In RDBMSs, information is organized in tables or relations. The rows of the table correspond to information item or records, while the columns correspond to attributes. The structured query language (SQL) is used to create such tables and to insert and retrieve information from them. We use a simple example to show how to use SQL to create a table and insert and retrieve information from it. Suppose we want to create a table containing student records consisting of the student number, name, and address. The following statement is used: create table STUDENT ( stu# integer, name char(20), address char(100) ); When we want to insert student records into the table, we use the SQL insert command as follows: insert into STUDENT values (10, "Kannan, Arputharaj", "2 Main St., Quarters, Chennai"); Information in the table is retrieved using the SQL select command. For example, if we want to retrieve the name of a student with student number 32, we use the following query statement: select name from STUDENT where stu#=32 Attributes in a RDBMS have fixed types with fixed widths. In the above example, the attribute stu# is an integer type of fixed length of 32 bits. Thus RDBMSs are well suited for handling numeric data and short alphanumeric strings.

5 To support large variable fields in a RDBMS, a concept called binary large objects (BLOBs) was introduced. A BLOB is a large bit string of variable length. For example, if we want to store students' pictures in the above student record example, we can create a table using the following statement: create table STUDENT ( stu# integer, name char(20), address char(100) picture BLOB); BLOBs are normally just bit strings and operations such as comparison can not be carried out on them. That is, a RDBMS does not know the contents or semantics of a BLOB. All it knows is a block of data. The main difference between the BLOB and the object is that the object is properly defined, including its properties and allowed operations on the properties, while the BLOB is not. The concepts of BLOBs and objects are a step toward handling multimedia data. But BLOBs are used just to store large data. While objects contain some simple attributes, many more capabilities should be developed to handle contentbased multimedia retrieval. Some of the required capabilities are as follows: Tools, to automatically, or semiautomatically extract contents and features contained in multimedia data; Multidimensional indexing structures, to handle multimedia feature vectors; Similarity metrics, for multimedia retrieval instead of exact match; Storage subsystems, redesigned to cope with the requirements of large size and high bandwidth and meet realtime requirements; The user interface, designed to allow flexible queries in different media types and provide multimedia presentations. Integrated Approach to Multimedia Information Indexing and Retrieval From the above discussion we see that DBMSs and IR cannot fully meet the requirements of multimedia indexing and retrieval, so new techniques to handle special characteristics of multimedia data are required. Nevertheless, we recognize that DBMSs and IR can play important roles in MMDBMSs. Parts of multimedia data, such as the creation date and author of a multimedia document, are structured. This structured data can be handled with DBMS techniques. Text annotation is still a powerful method for capturing the contents of multimedia data, so IR techniques have an important role to play. To summarize, an integrated approach

6 combining DBMSs, IR, and specific techniques for handling multimedia data is required to develop an efficient and effective MIRS.

Topics covered 10/12/2015. Pengantar Teknologi Informasi dan Teknologi Hijau. Suryo Widiantoro, ST, MMSI, M.Com(IS)

Topics covered 10/12/2015. Pengantar Teknologi Informasi dan Teknologi Hijau. Suryo Widiantoro, ST, MMSI, M.Com(IS) Pengantar Teknologi Informasi dan Teknologi Hijau Suryo Widiantoro, ST, MMSI, M.Com(IS) 1 Topics covered 1. Basic concept of managing files 2. Database management system 3. Database models 4. Data mining

More information

1. Inroduction to Data Mininig

1. Inroduction to Data Mininig 1. Inroduction to Data Mininig 1.1 Introduction Universe of Data Information Technology has grown in various directions in the recent years. One natural evolutionary path has been the development of the

More information

Introduction: Databases and. Database Users

Introduction: Databases and. Database Users Types of Databases and Database Applications Basic Definitions Typical DBMS Functionality Example of a Database (UNIVERSITY) Main Characteristics of the Database Approach Database Users Advantages of Using

More information

Copyright 2007 Ramez Elmasri and Shamkant B. Navathe. Slide 1-1

Copyright 2007 Ramez Elmasri and Shamkant B. Navathe. Slide 1-1 Slide 1-1 Chapter 1 Introduction: Databases and Database Users Outline Types of Databases and Database Applications Basic Definitions Typical DBMS Functionality Example of a Database (UNIVERSITY) Main

More information

16/06/56. Databases. Databases. Databases The McGraw-Hill Companies, Inc. All rights reserved.

16/06/56. Databases. Databases. Databases The McGraw-Hill Companies, Inc. All rights reserved. Distinguish between the physical and logical views of data. Describe how data is organized: characters, fields, records, tables, and databases. Define key fields and how they are used to integrate data

More information

Databases The McGraw-Hill Companies, Inc. All rights reserved.

Databases The McGraw-Hill Companies, Inc. All rights reserved. Distinguish between the physical and logical views of data. Describe how data is organized: characters, fields, records, tables, and databases. Define key fields and how they are used to integrate data

More information

Introduction: Databases and Database Users. Copyright 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1

Introduction: Databases and Database Users. Copyright 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1 Copyright 2007 Ramez Elmasri and Shamkant B. Navathe Slide 1 Introduction: Databases and Database Users Copyright 2007 Ramez Elmasri and Shamkant B. Navathe Types of Databases and Database Applications

More information

Unit 10 Databases. Computer Concepts Unit Contents. 10 Operational and Analytical Databases. 10 Section A: Database Basics

Unit 10 Databases. Computer Concepts Unit Contents. 10 Operational and Analytical Databases. 10 Section A: Database Basics Unit 10 Databases Computer Concepts 2016 ENHANCED EDITION 10 Unit Contents Section A: Database Basics Section B: Database Tools Section C: Database Design Section D: SQL Section E: Big Data Unit 10: Databases

More information

QM Chapter 1 Database Fundamentals Version 10 th Ed. Prepared by Dr Kamel Rouibah / Dept QM & IS

QM Chapter 1 Database Fundamentals Version 10 th Ed. Prepared by Dr Kamel Rouibah / Dept QM & IS QM 433 - Chapter 1 Database Fundamentals Version 10 th Ed Prepared by Dr Kamel Rouibah / Dept QM & IS www.cba.edu.kw/krouibah Dr K. Rouibah / dept QM & IS Chapter 1 (433) Database fundamentals 1 Objectives

More information

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe

Copyright 2016 Ramez Elmasri and Shamkant B. Navathe Copyright 2016 Ramez Elmasri and Shamkant B. Navathe CHAPTER 1 Databases and Database Users Copyright 2016 Ramez Elmasri and Shamkant B. Navathe Slide 1-2 OUTLINE Types of Databases and Database Applications

More information

Chapter 1. Introduction of Database (from ElMasri&Navathe and my editing)

Chapter 1. Introduction of Database (from ElMasri&Navathe and my editing) Chapter 1 Introduction of Database (from ElMasri&Navathe and my editing) Data Structured Data Strict format data like table data Semi Structured Data Certain structure but not all have identical structure

More information

Department of Industrial Engineering. Sharif University of Technology. Operational and enterprises systems. Exciting directions in systems

Department of Industrial Engineering. Sharif University of Technology. Operational and enterprises systems. Exciting directions in systems Department of Industrial Engineering Sharif University of Technology Session# 9 Contents: The role of managers in Information Technology (IT) Organizational Issues Information Technology Operational and

More information

Chapter 1 Overview. data, documents, multi-media objects, accessible in computer networks content is published

Chapter 1 Overview. data, documents, multi-media objects, accessible in computer networks content is published Prof. Dr.-Ing. Stefan Deßloch AG Heterogene Informationssysteme Geb. 36, Raum 329 Tel. 0631/205 3275 dessloch@informatik.uni-kl.de Chapter 1 Overview Overview "Content" data, documents, multi-media objects,

More information

Chapter 1: Introduction

Chapter 1: Introduction Chapter 1: Introduction Database System Concepts, 6 th Ed. See www.db-book.com for conditions on re-use Outline The Need for Databases Data Models Relational Databases Database Design Storage Manager Query

More information

Chapter 11_12. Multimedia IR: Models and Languages

Chapter 11_12. Multimedia IR: Models and Languages Chapter 11_12 Multimedia IR: Models and Languages Introduction Complex structures instead of simple data types Different media types (images, sounds, text, graphs) Mix of structured and unstructured data

More information

1/19/2012. Finish Chapter 1. Workers behind the Scene. CS 440: Database Management Systems

1/19/2012. Finish Chapter 1. Workers behind the Scene. CS 440: Database Management Systems CS 440: Database Management Systems Finish Chapter 1 Workers behind the Scene Approach A Brief History of Database Applications When Not to Use a DBMS Workers behind the Scene DBMS system designers and

More information

DOWNLOAD PDF ADVANCED DBMS

DOWNLOAD PDF ADVANCED DBMS Chapter 1 : Advanced Database Management System - Tutorials and Notes: Advanced DBMS Topics Advanced Database Management System - Tutorials and Notes Database Management System and Advanced DBMS notes,

More information

UNIT-V WEB MINING. 3/18/2012 Prof. Asha Ambhaikar, RCET Bhilai.

UNIT-V WEB MINING. 3/18/2012 Prof. Asha Ambhaikar, RCET Bhilai. UNIT-V WEB MINING 1 Mining the World-Wide Web 2 What is Web Mining? Discovering useful information from the World-Wide Web and its usage patterns. 3 Web search engines Index-based: search the Web, index

More information

CS614 - Data Warehousing - Midterm Papers Solved MCQ(S) (1 TO 22 Lectures)

CS614 - Data Warehousing - Midterm Papers Solved MCQ(S) (1 TO 22 Lectures) CS614- Data Warehousing Solved MCQ(S) From Midterm Papers (1 TO 22 Lectures) BY Arslan Arshad Nov 21,2016 BS110401050 BS110401050@vu.edu.pk Arslan.arshad01@gmail.com AKMP01 CS614 - Data Warehousing - Midterm

More information

DATABASE MANAGEMENT SYSTEMS. UNIT I Introduction to Database Systems

DATABASE MANAGEMENT SYSTEMS. UNIT I Introduction to Database Systems DATABASE MANAGEMENT SYSTEMS UNIT I Introduction to Database Systems Terminology Data = known facts that can be recorded Database (DB) = logically coherent collection of related data with some inherent

More information

DAVID M. KROENKE AND DAVID J. AUER. Fundamentals, Design, and Implementation

DAVID M. KROENKE AND DAVID J. AUER. Fundamentals, Design, and Implementation Solutions Manual Database Processing Fundamentals Design and Implementation 13th Edition Kroenke Instant download and all chapters Database Processing Fundamentals Design and Implementation 13th Edition

More information

Introduction to Oracle

Introduction to Oracle Class Note: Chapter 1 Introduction to Oracle (Updated May 10, 2016) [The class note is the typical material I would prepare for my face-to-face class. Since this is an Internet based class, I am sharing

More information

Managing Data Resources

Managing Data Resources Chapter 7 Managing Data Resources 7.1 2006 by Prentice Hall OBJECTIVES Describe basic file organization concepts and the problems of managing data resources in a traditional file environment Describe how

More information

Outline. Managing Information Resources. Concepts and Definitions. Introduction. Chapter 7

Outline. Managing Information Resources. Concepts and Definitions. Introduction. Chapter 7 Outline Managing Information Resources Chapter 7 Introduction Managing Data The Three-Level Database Model Four Data Models Getting Corporate Data into Shape Managing Information Four Types of Information

More information

Database Environment. Pearson Education 2009

Database Environment. Pearson Education 2009 Chapter 2 Database Environment 1 Chapter 2 - Objectives Purpose of three-level database architecture. Contents of external, conceptual, and internal levels. Purpose of external/conceptual and conceptual/internal

More information

Computers Are Your Future

Computers Are Your Future Computers Are Your Future Twelfth Edition Chapter 12: Databases and Information Systems Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall 1 Databases and Information Systems Copyright

More information

Multimedia Technology (IT-204-F) Section A Introduction to multimedia. Lecture 7. Multimedia Database

Multimedia Technology (IT-204-F) Section A Introduction to multimedia. Lecture 7. Multimedia Database Multimedia Technology (IT-204-F) Section A Introduction to multimedia Lecture 7 Multimedia Database 1 Multimedia Database Multimedia Database Systems Multimedia Database Management System Data Structure

More information

Discovering Computers Chapter 10 Database Management

Discovering Computers Chapter 10 Database Management Discovering Computers 2008 Chapter 10 Database Management Chapter 10 Objectives Define the the term, database Differentiate between a file file processing system approach and the the database approach

More information

Overview of Web Mining Techniques and its Application towards Web

Overview of Web Mining Techniques and its Application towards Web Overview of Web Mining Techniques and its Application towards Web *Prof.Pooja Mehta Abstract The World Wide Web (WWW) acts as an interactive and popular way to transfer information. Due to the enormous

More information

Chapter 1: Introduction

Chapter 1: Introduction Chapter 1: Introduction Chapter 1: Introduction Purpose of Database Systems Database Languages Relational Databases Database Design Data Models Database Internals Database Users and Administrators Overall

More information

Meaning & Concepts of Databases

Meaning & Concepts of Databases 27 th August 2015 Unit 1 Objective Meaning & Concepts of Databases Learning outcome Students will appreciate conceptual development of Databases Section 1: What is a Database & Applications Section 2:

More information

A Multidimensional Approach for Modelling and Supporting Adaptive Hypermedia Systems

A Multidimensional Approach for Modelling and Supporting Adaptive Hypermedia Systems A Multidimensional Approach for Modelling and Supporting Adaptive Hypermedia Systems Mario Cannataro, Alfredo Cuzzocrea, Andrea Pugliese ISI-CNR, Via P. Bucci, 41/c 87036 Rende, Italy {cannataro, apugliese}@si.deis.unical.it,

More information

Management Information Systems Review Questions. Chapter 6 Foundations of Business Intelligence: Databases and Information Management

Management Information Systems Review Questions. Chapter 6 Foundations of Business Intelligence: Databases and Information Management Management Information Systems Review Questions Chapter 6 Foundations of Business Intelligence: Databases and Information Management 1) The traditional file environment does not typically have a problem

More information

Computers Are Your Future

Computers Are Your Future Computers Are Your Future Computers Are Your Future Databases and Information Systems Slide 2 What You Will Learn About The potential uses of a database program The basic components of a database The differences

More information

Chapter 1: Introduction. Chapter 1: Introduction

Chapter 1: Introduction. Chapter 1: Introduction Chapter 1: Introduction Database System Concepts, 5th Ed. See www.db-book.com for conditions on re-use Chapter 1: Introduction Purpose of Database Systems View of Data Database Languages Relational Databases

More information

Network protocols and. network systems INTRODUCTION CHAPTER

Network protocols and. network systems INTRODUCTION CHAPTER CHAPTER Network protocols and 2 network systems INTRODUCTION The technical area of telecommunications and networking is a mature area of engineering that has experienced significant contributions for more

More information

Chapter 1. Types of Databases and Database Applications. Basic Definitions. Introduction to Databases

Chapter 1. Types of Databases and Database Applications. Basic Definitions. Introduction to Databases Chapter 1 Introduction to Databases Types of Databases and Database Applications Numeric and Textual Databases Multimedia Databases Geographic Information Systems (GIS) Data Warehouses Real-time and Active

More information

OBJECTIVES DEFINITIONS CHAPTER 1: THE DATABASE ENVIRONMENT AND DEVELOPMENT PROCESS. Figure 1-1a Data in context

OBJECTIVES DEFINITIONS CHAPTER 1: THE DATABASE ENVIRONMENT AND DEVELOPMENT PROCESS. Figure 1-1a Data in context OBJECTIVES CHAPTER 1: THE DATABASE ENVIRONMENT AND DEVELOPMENT PROCESS Modern Database Management 11 th Edition Jeffrey A. Hoffer, V. Ramesh, Heikki Topi! Define terms! Name limitations of conventional

More information

TIM 50 - Business Information Systems

TIM 50 - Business Information Systems TIM 50 - Business Information Systems Lecture 15 UC Santa Cruz Nov 10, 2016 Class Announcements n Database Assignment 2 posted n Due 11/22 The Database Approach to Data Management The Final Database Design

More information

Handout 12 Data Warehousing and Analytics.

Handout 12 Data Warehousing and Analytics. Handout 12 CS-605 Spring 17 Page 1 of 6 Handout 12 Data Warehousing and Analytics. Operational (aka transactional) system a system that is used to run a business in real time, based on current data; also

More information

Technology In Action, Complete, 14e (Evans et al.) Chapter 11 Behind the Scenes: Databases and Information Systems

Technology In Action, Complete, 14e (Evans et al.) Chapter 11 Behind the Scenes: Databases and Information Systems Technology In Action, Complete, 14e (Evans et al.) Chapter 11 Behind the Scenes: Databases and Information Systems 1) A is a collection of related data that can be stored, sorted, organized, and queried.

More information

CISC 3140 (CIS 20.2) Design & Implementation of Software Application II

CISC 3140 (CIS 20.2) Design & Implementation of Software Application II CISC 3140 (CIS 20.2) Design & Implementation of Software Application II Instructor : M. Meyer Email Address: meyer@sci.brooklyn.cuny.edu Course Page: http://www.sci.brooklyn.cuny.edu/~meyer/ CISC3140-Meyer-lec4

More information

CS377: Database Systems Data Warehouse and Data Mining. Li Xiong Department of Mathematics and Computer Science Emory University

CS377: Database Systems Data Warehouse and Data Mining. Li Xiong Department of Mathematics and Computer Science Emory University CS377: Database Systems Data Warehouse and Data Mining Li Xiong Department of Mathematics and Computer Science Emory University 1 1960s: Evolution of Database Technology Data collection, database creation,

More information

Visual Information Retrieval: The Next Frontier in Search

Visual Information Retrieval: The Next Frontier in Search Visual Information Retrieval: The Next Frontier in Search Ramesh Jain Abstract: The first ten years of search techniques for WWW have been concerned with text documents. The nature of data on WWW and in

More information

Text Mining. Representation of Text Documents

Text Mining. Representation of Text Documents Data Mining is typically concerned with the detection of patterns in numeric data, but very often important (e.g., critical to business) information is stored in the form of text. Unlike numeric data,

More information

Semantic Web Mining and its application in Human Resource Management

Semantic Web Mining and its application in Human Resource Management International Journal of Computer Science & Management Studies, Vol. 11, Issue 02, August 2011 60 Semantic Web Mining and its application in Human Resource Management Ridhika Malik 1, Kunjana Vasudev 2

More information

Database Management System. Fundamental Database Concepts

Database Management System. Fundamental Database Concepts Database Management System Fundamental Database Concepts CONTENTS Basics of DBMS Purpose of DBMS Applications of DBMS Views of Data Instances and Schema Data Models Database Languages Responsibility of

More information

Managing Data Resources

Managing Data Resources Chapter 7 OBJECTIVES Describe basic file organization concepts and the problems of managing data resources in a traditional file environment Managing Data Resources Describe how a database management system

More information

Web Mining Evolution & Comparative Study with Data Mining

Web Mining Evolution & Comparative Study with Data Mining Web Mining Evolution & Comparative Study with Data Mining Anu, Assistant Professor (Resource Person) University Institute of Engineering and Technology Mahrishi Dayanand University Rohtak-124001, India

More information

Databases and Database Systems

Databases and Database Systems Page 1 of 6 Databases and Database Systems 9.1 INTRODUCTION: A database can be summarily described as a repository for data. This makes clear that building databases is really a continuation of a human

More information

3 Publishing Technique

3 Publishing Technique Publishing Tool 32 3 Publishing Technique As discussed in Chapter 2, annotations can be extracted from audio, text, and visual features. The extraction of text features from the audio layer is the approach

More information

Database Management Systems (CPTR 312)

Database Management Systems (CPTR 312) Database Management Systems (CPTR 312) Preliminaries Me: Raheel Ahmad Ph.D., Southern Illinois University M.S., University of Southern Mississippi B.S., Zakir Hussain College, India Contact: Science 116,

More information

5-1McGraw-Hill/Irwin. Copyright 2007 by The McGraw-Hill Companies, Inc. All rights reserved.

5-1McGraw-Hill/Irwin. Copyright 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 5-1McGraw-Hill/Irwin Copyright 2007 by The McGraw-Hill Companies, Inc. All rights reserved. 5 hapter Data Resource Management Data Concepts Database Management Types of Databases McGraw-Hill/Irwin Copyright

More information

XML Databases and the Semantic Web

XML Databases and the Semantic Web XML Databases and the Semantic Web BHAVANI THURAISINGHAM CRC PRESS Boca Raton London New York Washington, D.C. Library of Congress Cataloging-in-Publication Data Thuraisingham, Bhavani M. XML databases

More information

Course 40045A: Microsoft SQL Server for Oracle DBAs

Course 40045A: Microsoft SQL Server for Oracle DBAs Skip to main content Course 40045A: Microsoft SQL Server for Oracle DBAs - Course details Course Outline Module 1: Database and Instance This module provides an understanding of the two major components

More information

CHAPTER 2 LITERATURE REVIEW

CHAPTER 2 LITERATURE REVIEW CHAPTER 2 LITERATURE REVIEW 2.0 OVERVIEW This literature review is initially done on OOP, RDBMS, OODBMS and ORDBMS in terms of their basic concept and capability. Later on, their inter-relationship, pros

More information

CHAPTER-23 MINING COMPLEX TYPES OF DATA

CHAPTER-23 MINING COMPLEX TYPES OF DATA CHAPTER-23 MINING COMPLEX TYPES OF DATA 23.1 Introduction 23.2 Multidimensional Analysis and Descriptive Mining of Complex Data Objects 23.3 Generalization of Structured Data 23.4 Aggregation and Approximation

More information

TIM 50 - Business Information Systems

TIM 50 - Business Information Systems TIM 50 - Business Information Systems Lecture 15 UC Santa Cruz May 20, 2014 Announcements DB 2 Due Tuesday Next Week The Database Approach to Data Management Database: Collection of related files containing

More information

C H A P T E R Introduction

C H A P T E R Introduction C H A P T E R 1 Introduction M ultimedia is probably one of the most overused terms of the 90s (for example, see [Sch97]). The field is at the crossroads of several major industries: computing, telecommunications,

More information

20762B: DEVELOPING SQL DATABASES

20762B: DEVELOPING SQL DATABASES ABOUT THIS COURSE This five day instructor-led course provides students with the knowledge and skills to develop a Microsoft SQL Server 2016 database. The course focuses on teaching individuals how to

More information

Description and search of multimedia data

Description and search of multimedia data Description and search of multimedia data Digital Content Retrieval Prof.ssa Maria Grazia Albanesi Topics The problem: searching in multimedia data Why is it different from text search? How to make a search

More information

COMMUNICATION PROTOCOLS

COMMUNICATION PROTOCOLS COMMUNICATION PROTOCOLS Index Chapter 1. Introduction Chapter 2. Software components message exchange JMS and Tibco Rendezvous Chapter 3. Communication over the Internet Simple Object Access Protocol (SOAP)

More information

CSE 3241: Database Systems I Databases Introduction (Ch. 1-2) Jeremy Morris

CSE 3241: Database Systems I Databases Introduction (Ch. 1-2) Jeremy Morris CSE 3241: Database Systems I Databases Introduction (Ch. 1-2) Jeremy Morris 1 Outline What is a database? The database approach Advantages Disadvantages Database users Database concepts and System architecture

More information

Data Warehousing. Ritham Vashisht, Sukhdeep Kaur and Shobti Saini

Data Warehousing. Ritham Vashisht, Sukhdeep Kaur and Shobti Saini Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 3, Number 6 (2013), pp. 669-674 Research India Publications http://www.ripublication.com/aeee.htm Data Warehousing Ritham Vashisht,

More information

Data Flow Diagrams System Analysis ( (

Data Flow Diagrams System Analysis ( ( 7 Data Flow Diagrams System Analysis (1932475( Kendall & Kendall 7-1 Data Flow Diagrams A top down approach to diagramming data movement, it moves from general to specific. Graphically characterize data

More information

CHAPTER 8 Multimedia Information Retrieval

CHAPTER 8 Multimedia Information Retrieval CHAPTER 8 Multimedia Information Retrieval Introduction Text has been the predominant medium for the communication of information. With the availability of better computing capabilities such as availability

More information

A Content Based Image Retrieval System Based on Color Features

A Content Based Image Retrieval System Based on Color Features A Content Based Image Retrieval System Based on Features Irena Valova, University of Rousse Angel Kanchev, Department of Computer Systems and Technologies, Rousse, Bulgaria, Irena@ecs.ru.acad.bg Boris

More information

Chapter 12. Databases. McGraw-Hill/Irwin. Copyright 2008 by The McGraw-Hill Companies, Inc. All rights reserved.

Chapter 12. Databases. McGraw-Hill/Irwin. Copyright 2008 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 12 Databases McGraw-Hill/Irwin Copyright 2008 by The McGraw-Hill Companies, Inc. All rights reserved. 1 Introduction to Databases Much like a library, secondary storage is designed to store information.

More information

Data Preprocessing. Slides by: Shree Jaswal

Data Preprocessing. Slides by: Shree Jaswal Data Preprocessing Slides by: Shree Jaswal Topics to be covered Why Preprocessing? Data Cleaning; Data Integration; Data Reduction: Attribute subset selection, Histograms, Clustering and Sampling; Data

More information

Multimedia Databases. Wolf-Tilo Balke Younès Ghammad Institut für Informationssysteme Technische Universität Braunschweig

Multimedia Databases. Wolf-Tilo Balke Younès Ghammad Institut für Informationssysteme Technische Universität Braunschweig Multimedia Databases Wolf-Tilo Balke Younès Ghammad Institut für Informationssysteme Technische Universität Braunschweig http://www.ifis.cs.tu-bs.de Previous Lecture Audio Retrieval - Query by Humming

More information

ITM DEVELOPMENT (ITMD)

ITM DEVELOPMENT (ITMD) ITM Development (ITMD) 1 ITM DEVELOPMENT (ITMD) ITMD 361 Fundamentals of Web Development This course will cover the creation of Web pages and sites using HTML, CSS, Javascript, jquery, and graphical applications

More information

Data Models: The Center of the Business Information Systems Universe

Data Models: The Center of the Business Information Systems Universe Data s: The Center of the Business Information Systems Universe Whitemarsh Information Systems Corporation 2008 Althea Lane Bowie, Maryland 20716 Tele: 301-249-1142 Email: Whitemarsh@wiscorp.com Web: www.wiscorp.com

More information

9/8/2016. Characteristics of multimedia Various media types

9/8/2016. Characteristics of multimedia Various media types Chapter 1 Introduction to Multimedia Networking CLO1: Define fundamentals of multimedia networking Upon completion of this chapter students should be able to define: 1- Multimedia 2- Multimedia types and

More information

Multimedia Databases. 9 Video Retrieval. 9.1 Hidden Markov Model. 9.1 Hidden Markov Model. 9.1 Evaluation. 9.1 HMM Example 12/18/2009

Multimedia Databases. 9 Video Retrieval. 9.1 Hidden Markov Model. 9.1 Hidden Markov Model. 9.1 Evaluation. 9.1 HMM Example 12/18/2009 9 Video Retrieval Multimedia Databases 9 Video Retrieval 9.1 Hidden Markov Models (continued from last lecture) 9.2 Introduction into Video Retrieval Wolf-Tilo Balke Silviu Homoceanu Institut für Informationssysteme

More information

Microsoft Developing SQL Databases

Microsoft Developing SQL Databases 1800 ULEARN (853 276) www.ddls.com.au Length 5 days Microsoft 20762 - Developing SQL Databases Price $4290.00 (inc GST) Version C Overview This five-day instructor-led course provides students with the

More information

Microsoft. [MS20762]: Developing SQL Databases

Microsoft. [MS20762]: Developing SQL Databases [MS20762]: Developing SQL Databases Length : 5 Days Audience(s) : IT Professionals Level : 300 Technology : Microsoft SQL Server Delivery Method : Instructor-led (Classroom) Course Overview This five-day

More information

Fundamentals of Databases

Fundamentals of Databases Fundamentals of Databases College of Computers and Information Technology Taif University Saudi Arabia s.zahrani@tu.edu.sa/ admin@c2learn.com Fundamentals of Databases Dr. Salha M. Alzahrani 1 Fundamentals

More information

CHAPTER 03: MULTIMEDIA & OPERATING SYSTEM. :: Operating System :: ~ What is OS?~ ~ OS Functions~ ~ OS Characteristics ~ ~ Type of OS~

CHAPTER 03: MULTIMEDIA & OPERATING SYSTEM. :: Operating System :: ~ What is OS?~ ~ OS Functions~ ~ OS Characteristics ~ ~ Type of OS~ CHAPTER 03: MULTIMEDIA & OPERATING SYSTEM :: Operating System :: ~ What is OS?~ ~ OS Functions~ ~ OS Characteristics ~ ~ Type of OS~ 1 Operating System and Software Computer Operating System An operating

More information

10. Multimedia Database Systems

10. Multimedia Database Systems Contents 10.1 Database Systems 10.2 Multimedia Database Management System Properties 10.3 Characteristics of MDBMS 10.4 Data Structure Data Types 10.5 Operations on Data 10.6 Integration in a Database

More information

Developing SQL Databases

Developing SQL Databases Course 20762B: Developing SQL Databases Page 1 of 9 Developing SQL Databases Course 20762B: 4 days; Instructor-Led Introduction This four-day instructor-led course provides students with the knowledge

More information

UNIT I. Introduction

UNIT I. Introduction UNIT I Introduction Objective To know the need for database system. To study about various data models. To understand the architecture of database system. To introduce Relational database system. Introduction

More information

Introduction to Database Systems. Fundamental Concepts

Introduction to Database Systems. Fundamental Concepts Introduction to Database Systems Fundamental Concepts Werner Nutt 1 A DBMS Presents Programmers and Users with a Simplified Environment Database System Users/Programmers Queries / Application Programs

More information

Information Retrieval (Part 1)

Information Retrieval (Part 1) Information Retrieval (Part 1) Fabio Aiolli http://www.math.unipd.it/~aiolli Dipartimento di Matematica Università di Padova Anno Accademico 2008/2009 1 Bibliographic References Copies of slides Selected

More information

DATA MINING AND WAREHOUSING

DATA MINING AND WAREHOUSING DATA MINING AND WAREHOUSING Qno Question Answer 1 Define data warehouse? Data warehouse is a subject oriented, integrated, time-variant, and nonvolatile collection of data that supports management's decision-making

More information

Development of an Ontology-Based Portal for Digital Archive Services

Development of an Ontology-Based Portal for Digital Archive Services Development of an Ontology-Based Portal for Digital Archive Services Ching-Long Yeh Department of Computer Science and Engineering Tatung University 40 Chungshan N. Rd. 3rd Sec. Taipei, 104, Taiwan chingyeh@cse.ttu.edu.tw

More information

Managing Information Resources

Managing Information Resources Managing Information Resources 1 Managing Data 2 Managing Information 3 Managing Contents Concepts & Definitions Data Facts devoid of meaning or intent e.g. structured data in DB Information Data that

More information

KNGX NOTES INFS1603 [INFS1603] KEVIN NGUYEN

KNGX NOTES INFS1603 [INFS1603] KEVIN NGUYEN 1 [] KEVIN NGUYEN 1 2 TABLE OF CONTENTS Table of Contents...... 2 1. Database Systems........ 3 2. Data Models..... 9 3. The Relational Database Model.......... 18 4. Entity Relationship (ER) Model....

More information

1. Analytical queries on the dimensionally modeled database can be significantly simpler to create than on the equivalent nondimensional database.

1. Analytical queries on the dimensionally modeled database can be significantly simpler to create than on the equivalent nondimensional database. 1. Creating a data warehouse involves using the functionalities of database management software to implement the data warehouse model as a collection of physically created and mutually connected database

More information

Question Bank. 4) It is the source of information later delivered to data marts.

Question Bank. 4) It is the source of information later delivered to data marts. Question Bank Year: 2016-2017 Subject Dept: CS Semester: First Subject Name: Data Mining. Q1) What is data warehouse? ANS. A data warehouse is a subject-oriented, integrated, time-variant, and nonvolatile

More information

SK International Journal of Multidisciplinary Research Hub Research Article / Survey Paper / Case Study Published By: SK Publisher

SK International Journal of Multidisciplinary Research Hub Research Article / Survey Paper / Case Study Published By: SK Publisher ISSN: 2394 3122 (Online) Volume 2, Issue 1, January 2015 Research Article / Survey Paper / Case Study Published By: SK Publisher P. Elamathi 1 M.Phil. Full Time Research Scholar Vivekanandha College of

More information

Introduction To Computers

Introduction To Computers Introduction To Computers Chapter No 7 Introduction To Databases Overview Introduction to database To make use of information, you have to be able to find the information Data files and databases are no

More information

DC Area Business Objects Crystal User Group (DCABOCUG) Data Warehouse Architectures for Business Intelligence Reporting.

DC Area Business Objects Crystal User Group (DCABOCUG) Data Warehouse Architectures for Business Intelligence Reporting. DC Area Business Objects Crystal User Group (DCABOCUG) Data Warehouse Architectures for Business Intelligence Reporting April 14, 2009 Whitemarsh Information Systems Corporation 2008 Althea Lane Bowie,

More information

CLIENT/SERVER COMPUTING

CLIENT/SERVER COMPUTING CLIENT/SERVER COMPUTING Client/Server is a term used to describe a computing model for the development of computerized systems. This model is based on the distribution of functions between two types of

More information

3. Object-Oriented Databases

3. Object-Oriented Databases 3. Object-Oriented Databases Weaknesses of Relational DBMSs Poor representation of 'real world' entities Poor support for integrity and business rules Homogenous data structure Limited operations Difficulty

More information

Information Management (IM)

Information Management (IM) 1 2 3 4 5 6 7 8 9 Information Management (IM) Information Management (IM) is primarily concerned with the capture, digitization, representation, organization, transformation, and presentation of information;

More information

DATA WAREHOUSE EGCO321 DATABASE SYSTEMS KANAT POOLSAWASD DEPARTMENT OF COMPUTER ENGINEERING MAHIDOL UNIVERSITY

DATA WAREHOUSE EGCO321 DATABASE SYSTEMS KANAT POOLSAWASD DEPARTMENT OF COMPUTER ENGINEERING MAHIDOL UNIVERSITY DATA WAREHOUSE EGCO321 DATABASE SYSTEMS KANAT POOLSAWASD DEPARTMENT OF COMPUTER ENGINEERING MAHIDOL UNIVERSITY CHARACTERISTICS Data warehouse is a central repository for summarized and integrated data

More information

Introduction: Database Concepts Slides by: Ms. Shree Jaswal

Introduction: Database Concepts Slides by: Ms. Shree Jaswal Introduction: Database Concepts Slides by: Ms. Shree Jaswal Topics: Introduction Characteristics of databases File system V/s Database system Users of a Database system Data Models, Schemas, and Instances

More information

Fundamentals of Information Systems, Seventh Edition

Fundamentals of Information Systems, Seventh Edition Chapter 3 Data Centers, and Business Intelligence 1 Why Learn About Database Systems, Data Centers, and Business Intelligence? Database: A database is an organized collection of data. Databases also help

More information

Lecture 03. Spring 2018 Borough of Manhattan Community College

Lecture 03. Spring 2018 Borough of Manhattan Community College Lecture 03 Spring 2018 Borough of Manhattan Community College 1 2 Outline 1. Brief History of the Relational Model 2. Terminology 3. Integrity Constraints 4. Views 3 History of the Relational Model The

More information

Chapter 3. Database Architecture and the Web

Chapter 3. Database Architecture and the Web Chapter 3 Database Architecture and the Web 1 Chapter 3 - Objectives Software components of a DBMS. Client server architecture and advantages of this type of architecture for a DBMS. Function and uses

More information