Digital

Asset

Management

Using

A

Native

XML

Database

Implementation

Digital

Asset

Management

-LRB-

DAM

-RRB-

the

management

of

digital

content

so

that

it

can

be

cataloged

searched

and

re-purposed

is

extremely

challenging

for

organizations

that

rely

on

image

handling

and

expect

to

gain

business

value

from

these

assets

Metadata

plays

a

crucial

role

in

their

management

and

XML

with

its

inherent

support

for

structural

representation

is

an

ideal

technology

for

this

This

paper

analyzes

the

capabilities

of

a

native

XML

database

solution

via

the

development

of

a

proof

of

concept

and

describes

implementation

requirements

strategy

and

advantages

and

disadvantages

of

this

solution

H.

-LSB-

Database

Management

-RSB-

Database

Applications

image

databases

and

D.

-LSB-

Programming

Languages

-RSB-

Language

Classifications

extensible

languages

XML

Languages

Performance

Digital

asset

creation

and

management

evolved

in

the

late

Companies

have

created

massive

digital

assets

in

the

form

of

images

video

and

audio

files

streaming

media

Power

Point

templates

web

pages

and

PDF

files

containing

engineering

specs

legal

documents

internal

memos

and

more

The

World

Wide

Web

has

drastically

increased

the

need

for

digital

information

and

its

exchange

Ille

-LSB-

-RSB-

identifies

a

digital

asset

as

a

strategic

asset

like

any

other

form

of

working

capital

and

states

that

its

efficient

management

is

being

increasingly

recognized

as

a

competitive

lever

for

companies

all

over

the

world

Development

of

the

model

for

storing

any

form

of

digital

object

into

a

structured

format

requires

a

deft

combination

of

asset

analysis

strategic

thinking

business

planning

and

appropriate

technology

Companies

can

achieve

early

strategic

advantage

by

implementing

management

systems

for

digital

assets

that

can

be

repurposed

or

customized

providing

process

efficiencies

in

collaborative

work

Digital

Asset

Management

-LRB-

DAM

-RRB-

can

deliver

competitive

advantage

for

advertising

agencies

technical

or

engineering

documentation

departments

designers

producers

and

others

by

reducing

time

spent

locating

creative

assets

Enterprises

often

require

reusing

or

sharing

their

digital

assets

It

is

indispensable

to

store

content

in

an

organized

way

to

reuse

or

process

it

for

future

needs

Global

enterprises

are

facing

the

daunting

challenge

of

figuring

out

how

best

to

address

the

growing

complexity

of

creating

digital

assets

and

managing

the

flow

of

assets

through

a

single

infrastructure

-LSB-

-RSB-

Exacerbating

the

challenge

is

the

fact

that

companies

are

creating

a

massive

volume

of

digital

assets

but

are

rarely

examining

their

organized

storage

and

retrieval

methods

DAM

systems

are

still

relatively

new

but

organizations

have

started

realizing

the

importance

and

need

for

digital

asset

management

The

Gartner

Group

affirms

that

only

a

limited

number

of

technically

advanced

commercial

content

providers

use

DAM

systems

today

to

digitally

construct

store

and

distribute

rich

media

content

in

single

medium

forms

-LSB-

-RSB-

The

systems

also

have

limited

corporate

use

in

advertising

firms

and

marketing

departments

Gartner

predicts

that

by

more

than

of

all

the

enterprises

with

commercial

internet

operations

will

use

DAM

systems

By

more

than

of

all

the

enterprises

with

commercial

internet

operations

will

use

DAM

systems

Recently

reported

cases

provide

evidence

that

companies

have

started

investing

in

technology

for

DAM

For

example

the

Coca

Cola

company

has

bought

technology

from

IBM

for

its

digital

advertisement

archives

which

contain

graphical

images

scanned

documents

and

more

than

corporate

videos

and

television

advertisements

-LSB-

-RSB-

The

technology

includes

search

tools

for

retrieving

updating

managing

and

disseminating

historical

records

online

including

the

company

's

famous

marketing

and

advertising

icons

Another

case

is

that

of

the

Shoah

Foundation

Steven

Spielberg

established

the

Shoah

Foundation

with

the

mission

to

videotape

Permission

to

make

digital

or

hard

copies

of

all

or

part

of

this

work

for

personal

or

classroom

use

is

granted

without

fee

provided

that

copies

are

not

made

or

distributed

for

profit

or

commercial

advantage

and

that

copies

bear

this

notice

and

the

full

citation

on

the

first

page

To

copy

otherwise

or

republish

to

post

on

servers

or

to

redistribute

to

lists

requires

prior

specific

permission

and/or

a

fee

October

Lafayette

Indiana

USA

Copyright

ACM

and

preserve

the

testimonies

of

the

Holocaust

survivors

and

witnesses

The

foundation

has

collected

more

than

eyewitness

testimonies

in

countries

and

languages

-LSB-

-RSB-

The

challenge

now

is

to

manage

catalog

and

disseminate

the

video

and

digital

collection

of

testimonies

of

those

survivors

These

digital

assets

of

the

Shoah

Foundation

are

cataloged

with

lists

of

keywords

text

summaries

describing

the

survivors

related

documentaries

focusing

on

topics

such

as

the

ghettos

or

labor

camps

they

lived

in

and

past

and

present

photos

of

them

and

their

families

The

following

summarizes

the

major

challenges

that

are

faced

during

any

wide

adoption

of

DAM

Storage

One

of

the

fundamental

problems

is

physical

deterioration

of

storage

devices

that

store

digital

information

Magnetic

media

are

particularly

subject

to

data

loss

and

errors

There

is

also

the

important

question

of

hardware

and

software

obsolescence

and

the

future

availability

of

today

's

technologies

Procedural

Issues

Technical

problems

are

further

complicated

when

resources

to

be

preserved

need

to

be

transformed

into

digital

form

Digitization

of

paper

analogs

for

access

and

preservation

is

a

time

consuming

and

labor

intensive

task

Beyond

this

technical

problem

there

is

a

host

of

financial

legal

and

policy

problems

Security

Securing

digital

assets

against

misuse

theft

or

damage

is

an

ongoing

concern

of

organizations

Copyright

One

of

the

major

legal

issues

associated

with

electronic

assets

is

the

actual

scanning

or

digitizing

of

materials

Copyright

holders

have

the

exclusive

right

to

reproduce

distribute

and

display

their

work

Ferullo

-LSB-

-RSB-

points

out

that

digitizing

and

posting

infringes

on

these

exclusive

rights

Distribution

Digital

assets

will

be

utilized

to

the

fullest

only

when

they

can

be

distributed

via

proper

communication

channels

to

the

intended

users

Infrastructure

DAM

requires

a

robust

IT

infrastructure

to

support

creation

and

distribution

Human

Factors

While

the

purpose

of

DAM

is

to

provide

greater

efficiency

getting

users

to

adapt

to

the

new

environment

can

be

a

challenge

This

is

an

important

issue

because

many

DAM

solutions

require

a

change

in

work

processes

before

the

users

see

any

benefits

-LSB-

-RSB-

The

requirement

to

manage

and

deliver

digital

assets

is

becoming

critical

to

almost

all

content-related

applications

due

to

the

evolution

of

the

Internet

and

growth

of

digital

assets

Enterprises

need

plans

to

benefit

from

the

new

world

of

rich

valuable

digital

assets

that

will

affect

everything

from

their

internal

processes

and

customer

relations

to

their

web

site

and

telecommunications

infrastructures

Widespread

use

of

rich

media

has

spurred

the

growth

of

the

DAM

market

Frost

and

Sullivan

a

market

analysis

firm

claims

the

average

user

in

a

media

enterprise

looks

for

a

media

file

times

a

week

and

fails

to

find

it

of

the

time

-LSB-

-RSB-

Canto

Software

research

predicts

that

DAM

solutions

will

drop

that

figure

to

-LSB-

-RSB-

With

the

growth

of

internet

publication

document

metadata

is

increasingly

important

because

it

provides

contextual

information

about

digital

assets

necessary

for

customization

of

the

content

In

response

Adobe

Systems

plans

to

unveil

new

metadata

technology

designed

to

ease

the

process

of

applying

content

to

multiple

types

of

media

The

XMP

-LRB-

Extensible

Metadata

Platform

-RRB-

provides

a

framework

for

standardizing

the

creation

and

processing

of

document

metadata

across

publishing

workflows

according

to

Adobe

officials

-LSB-

-RSB-

A

review

by

Doering

-LSB-

-RSB-

provides

the

insight

into

methods

for

digital

asset

management

According

to

Doering

a

DAM

solution

must

include

the

following

critical

features

Indexing

As

content

is

generated

and

stored

it

is

indexed

according

to

various

possible

criteria

Metadata

does

not

merely

describe

by

whom

when

and

how

a

piece

of

content

was

created

it

can

also

be

used

to

interpret

and

catalog

the

content

itself

Rights

Management

Includes

handling

rights

to

the

content

or

restricting

the

use

of

the

content

by

the

purchaser/end-user

This

might

occur

for

example

with

corporate

information

or

licensed

images

from

a

third

party

incorporated

into

the

content

Reuse

With

a

viable

DAM

system

in

place

the

internal

content

developer

can

research

and

select

appropriate

content

for

reuse

in

new

content

This

represents

a

significant

savings

potential

for

the

companies

Review

A

final

benefit

of

an

online

catalog

with

a

DAM

system

is

the

ability

to

review

older

content

more

easily

The

XML/Metadata

Approach

By

incorporating

a

DAM

system

a

company

gains

both

the

savings

from

reusing

content

as

well

as

revenue

from

continued

sales

of

the

same

elements

According

to

Fontana

-LSB-

-RSB-

XML

databases

serve

in

a

complementary

role

to

traditional

databases

especially

as

XML

becomes

prevalent

Nearly

of

large

corporations

are

expected

to

move

all

their

web-based

content

to

XML

over

the

next

three

years

Fundamentally

two

high-level

approaches

may

be

adopted

for

implementing

XML

databases

-RRB-

XML-enabled

database

In

an

XML-enabled

database

the

documents

are

stored

in

constituent

fragments

Here

the

XML

data

is

stored

in

object

relational

form

and

one

can

use

an

XML

SQL

Utility

-LRB-

XSU

-RRB-

or

SQL

functions

and

packages

to

generate

the

whole

document

from

its

object

relational

instances

-RRB-

Native

XML

database

In

a

native

XML

database

approach

XML

is

not

fragmented

but

rather

is

stored

as

a

whole

in

the

native

XML

database

This

means

that

documents

are

stored

indexed

and

retrieved

in

their

original

format

with

all

their

content

tags

attributes

entity

references

and

ordering

preserved

In

this

technique

the

XML

Database

is

designed

to

handle

XML

in

its

native

format

thereby

speeding

access

to

data

by

eliminating

the

need

to

transform

it

into

the

rows

and

columns

of

a

standard

relational

database

Biggs

-LSB-

-RSB-

suggests

there

are

three

principal

reasons

to

implement

a

native

XML

database

-RRB-

enterprises

today

use

a

mix

of

data

such

as

the

data

housed

in

object-oriented

databases

and

unstructured

data

that

needs

to

be

exchanged

with

partners

-LRB-

native

XML

databases

can

leverage

all

of

these

disparate

sources

-RRB-

-RRB-

XML

databases

can

boost

processing

performance

due

to

XML-based

transactions

and

-RRB-

digital

assets

described

in

the

XML

format

can

be

used

by

other

applications

A

Technique

Using

Native

XML

When

developing

a

native

XML

solution

certain

steps

should

be

followed

-RRB-

Identify

the

need

for

DAM

-RRB-

Know

your

assets

Identify

various

assets

define

and

understand

their

use

in

the

organization

-RRB-

Define

search

needs

and

key

attributes

of

your

assets

-RRB-

Capture

the

objects

-LRB-

digitized

-RRB-

and

data

about

the

objects

-LRB-

metadata

-RRB-

-RRB-

Process

Generate

and

store

XML

files

associated

with

each

object

The

basis

of

this

technique

lies

in

creation

and

usage

of

semi-structured

metadata

stored

in

an

XML

format

to

manage

digital

assets

efficiently

When

the

structure

of

the

data

is

irregular

and

implicitly

given

by

the

document

itself

not

by

a

global

scheme

they

are

often

referred

to

as

semi-structured

data

The

ability

of

an

XML

to

handle

dynamic

data

provides

leeway

for

the

applications

to

use

semi-structured

data

to

describe

their

digital

assets

XML

is

becoming

the

de

facto

data

exchange

format

for

the

Web

The

XML

enclosing

metadata

can

be

either

stored

in

the

database

for

future

retrieval

or

be

easily

transferred

over

the

Internet

to

any

other

systems

The

Oracle

DBMS

-LRB-

used

for

the

Proof

of

Concept

-RRB-

provides

an

XMLType

data

type

that

can

be

used

to

store

and

query

XML

data

in

the

database

The

XMLType

has

member

functions

one

can

use

to

access

extract

and

query

the

XML

data

using

XPath

expressions

a

standard

developed

by

the

World

Wide

Web

Consortium

to

traverse

XML

documents

Proof

of

Concept

This

study

analyzed

existing

approaches

for

non-text

based

digital

asset

management

and

implemented

a

DAM

solution

by

applying

a

native

XML

Database

technique

Meta-data

of

digital

assets

is

often

semi-structured

and

the

digital

files

are

of

varied

types

XML

databases

are

most

appropriate

for

managing

diverse

types

of

semi-structured

digital

assets

For

this

project

the

Proof

of

Concept

-LRB-

POC

-RRB-

was

developed

using

facilities

and

resources

of

the

University

's

Digital

Enterprise

Center

-LRB-

DEC

-RRB-

at

the

School

of

Technology

The

Product

Lifecycle

Management

-LRB-

PLM

-RRB-

lab

at

DEC

creates

simulates

and

shares

digital

information

related

to

a

company

's

products

processes

and

resources

These

digital

assets

encompass

graphical

images

presentations

and

video/audio

clips

of

manufacturing

processes

representing

manufacturing

models

A

digital

asset

produced

in

the

PLM

lab

is

the

intellectual

property

of

the

DEC

and

needs

to

be

managed

for

future

use

or

research

Though

the

demonstration

focused

on

the

manufacturing

process

models

in

the

PLM

lab

the

XML

Database

technique

can

be

applied

to

any

form

of

digital

asset

Since

the

potential

file

population

is

very

vast

and

is

of

varied

types

the

POC

restricted

the

sampling

to

the

following

categories

of

digital

assets

Audio

files

Video

files

Images

and

Text

based

files

-LRB-

presentation

slides

Word

documents

Acrobat

files

-RRB-

The

POC

confined

the

sample

to

a

limited

number

of

files

describing

assembly

line

parts

available

from

the

PLM

lab

Metadata

was

stored

for

each

of

the

digital

objects

of

the

assembly

line

The

global

parameters

and

sub-parameters

used

to

describe

the

digital

files

included

the

following

File

Name

Type

-LRB-

Image

Audio

Video

Word

etc

-RRB-

Author

Creation

Date

General

Description

Keywords

and

a

Comment

A

keyword

search

capability

was

added

for

searching

within

these

and

other

parameters

The

Proof

of

Concept

application

was

developed

to

provide

a

storage

search

and

retrieval

facility

to

manage

the

digital

assets

of

the

PLM

lab

using

the

School

of

Technology

's

software

and

hardware

resources

The

application

provides

a

web-based

interface

for

convenient

management

of

the

digital

models

and

has

an

n-tiered

architecture

The

backend

database

is

Oracle

with

native

XML

support

The

web

interface

was

developed

using

JSP

and

the

middle

tier

was

incorporated

using

Java

Servlets

Analysis

was

conducted

with

the

following

steps

Various

types

of

data

-LRB-

heterogeneous

data

-RRB-

were

collected

for

demonstration

purposes

The

validity

of

metadata

was

checked

before

entering

it

into

the

system

Upon

validation

data

was

entered

in

the

system

-LRB-

Oracle

database

-RRB-

through

the

web-interface

With

the

appropriate

search

parameters

the

data

entered

could

be

searched

for

and

retrieved

Depending

on

the

requirement

this

retrieved

data

could

be

viewed

reused

or

repurposed

Providing

different

search

criteria

tested

consistency

and

reliability

in

the

retrieval

of

the

asset

The

following

technologies

were

used

to

develop

the

POC

Apache

Webserver

Apache

JServ

JDK

Oracle

-LRB-

-RRB-

XML

Java

JSP

Servlets

Tools

used

for

development

purposes

included

ERwin

database

design

software

Borland

Jbuilder

Microsoft

Front

Page

and

Oracle

Enterprise

Manager

The

POC

was

developed

with

a

three-tier

architecture

as

shown

in

Figure

The

first

tier

of

the

architecture

presents

an

interface

to

the

user

to

facilitate

access

to

digital

files

The

interface

is

web-enabled

and

was

developed

using

Java

Server

Pages

This

tier

provides

a

user-friendly

navigation

through

the

site

for

managing

digital

files

including

screens

for

inserting

deleting

and

searching

on

file

data

XML

Generation

Database

XML

Files

-LRB-

Metadata

for

Digital

Assets

-RRB-

XML

Files

-LRB-

Metadata

for

Digital

Assets

-RRB-

User

Interface

Web

Application

Server

Digital

Asset

Storage

XML

Validation

Metadata

for

Digital

Assets

Metadata

for

Digital

Assets

Digital

Asset

Digital

Asset

Tier

Tier

Tier

The

POC

Architecture

Figure

Architecture

for

POC

The

middle

tier

of

the

architecture

consists

of

Servlets

and

Java

helper

classes

Servlets

direct

the

flow

of

the

control

and

provide

database

connectivity

for

the

application

In

addition

the

business

logic

is

implemented

in

Servlets

Helper

classes

are

used

by

Servlets

to

create

and

manage

user-defined

Java

objects

Servlets

and

JSPs

are

deployed

on

an

Apache

Web

server

and

Apache

Jserv

The

third

tier

of

the

architecture

is

the

database

layer

itself

As

noted

previously

the

POC

uses

the

XML

capabilities

of

the

Oracle

database

management

system

The

XML

database

technique

stores

attributes

of

digital

assets

in

the

database

in

the

form

of

an

XML

file

While

the

XML

resides

in

the

database

system

digital

assets

might

be

files

in

a

file

system

or

a

BLOB

in

a

relational

database

This

demonstration

of

the

technique

stores

digital

assets

in

a

file

system

XML

databases

provide

some

features

that

are

analogous

to

conventional

text

databases

Common

to

all

native

XML

databases

are

indexes

which

allow

the

query

engine

to

jump

to

a

particular

point

in

an

XML

document

This

gives

such

databases

a

tremendous

speed

advantage

when

retrieving

entire

documents

or

document

fragments

This

is

because

the

database

can

perform

a

single

index

lookup

and

retrieve

the

entire

document

or

fragment

in

a

single

read

Normalizing

data

for

an

XML

database

is

largely

the

same

as

normalizing

it

for

a

relational

database

The

programmer

needs

to

design

the

documents

so

that

no

data

is

repeated

One

difference

between

native

XML

databases

and

relational

databases

is

that

XML

supports

multi-valued

properties

while

-LRB-

most

-RRB-

relational

databases

do

not

This

makes

it

possible

to

normalize

data

in

a

native

XML

database

in

a

way

that

is

not

possible

in

a

relational

database

Native

XML

vs.

XML-Enabled

A

native

XML

database

defines

a

-LRB-

logical

-RRB-

model

for

an

XML

document

as

opposed

to

the

data

in

that

document

and

stores

and

retrieves

documents

according

to

that

model

A

native

XML

database

has

an

XML

document

as

its

fundamental

unit

of

-LRB-

logical

-RRB-

storage

just

as

a

relational

database

has

a

row

in

a

table

as

its

fundamental

unit

of

-LRB-

logical

-RRB-

storage

It

is

not

required

to

have

any

particular

underlying

physical

storage

model

For

example

it

can

be

built

on

a

relational

hierarchical

or

object-oriented

database

or

use

a

proprietary

storage

format

such

as

indexed

compressed

files

An

XML-enabled

database

has

an

added

XML

mapping

layer

provided

either

by

the

database

vendor

or

a

third

party

This

mapping

layer

manages

the

storage

and

retrieval

of

XML

data

Data

that

is

mapped

into

the

database

is

mapped

into

application

specific

formats

and

the

original

XML

meta-data

and

structure

may

be

lost

Data

retrieved

as

XML

is

NOT

guaranteed

to

have

originated

in

XML

form

Data

manipulation

may

occur

via

either

XML

specific

technologies

-LRB-

e.g.

XPath

-RRB-

or

other

database

technologies

-LRB-

e.g.

SQL

-RRB-

The

fundamental

unit

of

storage

in

an

XML-enabled

database

is

implementation

dependent

The

XML

solutions

from

Oracle

and

Microsoft

as

well

as

many

third

party

tools

fall

into

this

category

Advantages

of

Native

XML

Native

XML

databases

have

several

advantages

over

relational

databases

Since

native

XML

databases

do

not

have

database

schemas

one

can

store

similar

documents

with

more

than

one

schema

in

the

database

at

the

same

time

While

one

may

still

need

to

redesign

queries

and

convert

the

existing

documents

a

non-trivial

process

this

may

ease

the

transition

process

XML

databases

make

search

within

the

XML

documents

very

efficient

If

the

data

is

parsed

into

Document

Object

Model

-LRB-

DOM

-RRB-

format

XPATH

can

be

used

XML

database

solutions

usually

add

a

text

indexing

system

so

that

query

performance

is

improved

Disadvantages

of

Native

XML

Currently

only

a

few

native

XML

databases

enforce

referential

integrity

The

reason

for

this

is

that

most

native

XML

databases

do

not

currently

support

linking

mechanisms

so

there

are

no

references

for

integrity

checking

Therefore

applications

that

rely

on

referential

integrity

mechanisms

of

databases

must

enforce

these

constraints

themselves

for

XML

databases

In

the

future

many

native

XML

databases

will

probably

support

linking

mechanisms

and

referential

integrity

Another

disadvantage

of

XML

databases

is

that

while

query

performance

is

better

update

performance

suffers

The

reason

is

that

the

index

entries

for

a

document

must

be

deleted

and

new

entries

created

whenever

a

document

is

inserted

or

updated

In

general

an

XML

Database

approach

is

better

because

it

supports

the

full

power

of

XML

However

a

major

drawback

is

performance

degradation

as

data

must

be

constantly

reparsed

into

a

DOM

tree

wasting

cycles

and

memory

Additionally

update

capabilities

are

weak

and

finally

automated

enforcement

of

integrity

constraints

needlessly

places

unreasonable

burden

upon

application

programmers

increasing

risks

and

costs

Digital

Asset

Management

-LRB-

DAM

-RRB-

is

an

evolving

field

with

a

great

potential

With

the

evolution

of

computers

and

the

Internet

companies

have

been

creating

an

enormous

volume

of

digital

content

in

various

formats

Managing

this

content

so

that

it

can

be

cataloged

searched

and

re-purposed

is

extremely

challenging

for

organizations

XML

is

a

commonly

used

standard

in

internet

applications

Hence

representing

the

metadata

of

a

digital

content

in

an

XML

format

is

on

the

surface

a

good

design

decision

XML

by

its

very

nature

provides

for

a

complex

well-defined

and

yet

extensible

structural

representation

of

the

metadata

and

interoperability

between

various

applications

dealing

with

digital

assets

A

major

advantage

of

having

XML

natively

in

the

database

is

that

one

can

perform

the

relational

manipulation

operations

such

as

insert

update

and

delete

on

the

whole

or

partial

XML

and

can

also

perform

XML

specific

operations

like

XPATH

search

and

node

modification

using

the

power

of

SQL

This

and

other

advantages

give

native

XML

databases

an

edge

over

systems

that

do

n't

use

XML

or

that

manage

XML

externally

-LSB-

-RSB-

Biggs

M.

-LRB-

December

-RRB-

Two

ways

to

bring

XML

to

your

databases

InfoWorld

Framingham

-LRB-

-RRB-

-LSB-

-RSB-

Doering

D.

-LRB-

August

-RRB-

Defining

the

DAM

thing

how

digital

asset

management

works

Emedia

Magazine

Wilton

-LRB-

-RRB-

Retrieved

February

from

mt

Deli

Mtd

Idx

Sid

RQT

-LSB-

-RSB-

Ferullo

D.

L.

-LRB-

-RRB-

The

challenge

of

e-reserves

Net

Connect

-LRB-

-RRB-

-LSB-

-RSB-

Fontana

J.

-LRB-

November

-RRB-

Upgraded

database

makes

the

most

of

XML

Network

World

Framingham

-LRB-

-RRB-

Retrieved

February

from

mt

Deli

Mtd

Idx

Sid

RQT

-LSB-

-RSB-

Frost

Sullivan.s

-LRB-

n.d.

-RRB-

U.S.

Digital

Asset

Management

Markets

Retrieved

March

from

yReport

id

ed

fcmseq

-LSB-

-RSB-

Garcia

K.

-LRB-

November

-RRB-

Broadcasters

starting

to

ease

into

digital

workflow

TVB

Europe

-LRB-

-RRB-

-LSB-

-RSB-

Gilbert

M.

Landers

G.

Latham

L.

Lundy

J.

-LRB-

November

-RRB-

What

's

cool

what

's

hot

content

technology

hype

cycle

Gartner

Advisory

Retrieved

February

from

-LSB-

-RSB-

Ille

C.

-LRB-

February

-RRB-

Market

definitions

digital

document

imaging

Gartner

Group

Retrieved

February

from

mt

Deli

Mtd

Idx

Sid

RQT

-LSB-

-RSB-

Martin

N.

-LRB-

September

-RRB-

DAM

right

Artesia

technologies

focuses

on

digital

asset

management

EContent

Wilton

-LRB-

-RRB-

-LSB-

-RSB-

Moore

C.

-LRB-

September

-RRB-

Adobe

touts

images

InfoWorld

Framingham

-LRB-

-RRB-

Retrieved

February

from

mt

Deli

Mtd

Idx

Sid

RQT

-LSB-

-RSB-

Moore

C.

-LRB-

September

-RRB-

Content

management

plays

role

in

cross-media

publishing

Computer

World

Retrieved

February

from

html

-LSB-

-RSB-

Solomon

M.

-LRB-

January

-RRB-

Managing

the

memories

Computer

World

Retrieved

April

from

html

-LSB-

-RSB-

Weiss

T.

-LRB-

December

-RRB-

Coca-Cola

ad

legacy

gets

help

from

IBM

Computer

World

Retrieved

February

from

html

B I I O O B I B O B I I O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I B O O O O O O O B I I O O O O O O O O O O O O O O O O O O O B O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O B O O O O O O O O O O O O O O O O B I I O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O B I I O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I B O O O B I B O O O O O O O O O O O O O O O B I B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O B I B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O B I O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O 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dam
native xml
database
metadata
proof of concept
digital asset management
storage and retrieval
keyword search

xml database
heterogenous data
multimedia
digital images
semi structured data