newsml - a revolution in news kaj wik siebert, research & standards

Post on 29-Mar-2015

232 Views

Category:

Documents

2 Downloads

Preview:

Click to see full reader

TRANSCRIPT

NewsML -A Revolution in News

Kaj Wik Siebert, Research & Standards

What has changed?

• Information Overload Reuters Daily OutputReuters Daily Output

•13,000 stories13,000 stories

•2.0 - 2.5 million words in 24 2.0 - 2.5 million words in 24 languageslanguages

•400-600 pictures400-600 pictures

•23 hours of video 23 hours of video

•25-30 graphics 25-30 graphics

•2300 correspondents in 184 2300 correspondents in 184 bureaus serving 160+ countriesbureaus serving 160+ countries

What has changed?

• Information Overload

• Bandwidth

What has changed?

• Information Overload

• Bandwidth

• Common Standards

What has changed?

• Information Overload

• Bandwidth

• Common Standards

• Vast Audiences

NewsML Vision

• Accessible

– Metadata enable filtering and delivery of contextual news

NewsML Vision

• Accessible

– Metadata enable filtering and delivery of contextual news

• Media Independent

– All formats and media types recognised equally

– Structure consisting of parts and named relationships between parts

NewsML

NewsML Vision

• Accessible

– Metadata enable filtering and delivery of contextual news

• Media Independent

– All formats and media types recognised equally

– Structure consisting of parts and named relationships between parts

• Platform Agnostic

– To reach users at home, in the office or anywhere in between

NewsML

• 1998

– Discussions start in Reuters. Reuters NewsML DTD published internally

• 1999

– Reuters submits proposed NewsML specification to IPTC

Evolution of NewsML

• 2000

– IPTC forms steering and working groups to develop functional specifications and DTD for NewsML

• July 2000

– IPTC accepts NewsML version 1.0 beta

Evolution of NewsML

Evolution of NewsML

• October 2000

– IPTC formal ratification

How NewsML works

Main text Primary picture

Video clips

Sidebar

English

French

8000 x 6000

800 x 600

EQUIVALENTS

EQUIVALENTS

EQUIVALENTS

EQUIVALENTS

NewsML

Structure of a NewsML Document

• Catalog

– References external resources

– Links topics to elements

• Topic Set

– References to real-world things (people, places, companies etc.)

• NewsEnvelope

– Workflow information

• NewsItem

– Actual news content

What is a NewsItem?

NewsItem

NewsComponent

Descriptive metadataDescriptive metadata• Language• Genre• Context• Mention• Relates to• Of interest to

Content ItemContent Item(actual content)

oror(pointer to

the content)

AdministrativeAdministrative

metadatametadata• Publisher• Creator• Source• Contributor• History

Rights metadataRights metadata• Ownership• Usage rights

Type metadataType metadata• Mediatype

Physical metadataPhysical metadata Size, Height, Width,

Streaming, Duration, Resolution, Color

NewsLinesNewsLines HeadLines, ByLines, SlugLines,

Keywords

Multiple versions & alternatives

Multiple versions & alternatives

From NewsML Version 1.0 Functional Specification © 2000 IPTC

NewsML Toolkit

• Developed by David Megginson on behalf of Reuters and Wavo

• Available under terms of the Gnu Lesser General Public License (LGPL) from:

http://about.reuters.com/researchandstandards/firstcontact/newsml-toolkit/

• Java based

• Simple API that enables access to the most important NewsML functions without any knowledge of XML or NewsML markup

• Comes with NewsML Explorer

NewsML Explorer

NewsML Explorer

• Demo

• Text + images

– Multiple NewsComponents

NewsShowcase (http://newsshowcase.reuters.com/)

NewsShowcase (http://newsshowcase.reuters.com/)

• Text + images

– Multiple NewsComponents

• Related or top stories

– Using linked list

NewsShowcase (http://newsshowcase.reuters.com/)

• Text + images

– Multiple NewsComponents

• Related or top stories

– Using linked list

• Multiple Languages

– Examples of English, Spanish, Arabic

NewsShowcase (http://newsshowcase.reuters.com/)

• Demo

Further Information

• IPTC

– http://www.iptc.org/

• NewsML Toolkit

– http://about.reuters.com/researchandstandards/firstcontact/newsml-toolkit/

• News Showcase

– http://newsshowcase.reuters.com/

• Me

– kaj.siebert@reuters.com

top related