Cross Media Strategy I: Tools & Technologies

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Cross Media Strategy I: Tools & Technologies

Gilbane San Francisco – April 10th – 12th

Andrew GrygielVP Marketing & Marketing Development

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Copyright © 2007 Mark Logic Corporation – All Rights Reserved Slide 2Slide 2

Topics

Important technologies, techniques and concepts

XML

XQuery

Digital Product Creation


XML: The Fundamental Enabler

Separation of form and content<title>, <link>, and <description>Not <bold> and <italic>

Ideal repository / archive formatOpen, standard, human-readable, presentation-neutral

Use markup to denote many different thingsMetadata: <author>, <pub-date>Structure: <section>, <caption>, <citation>, <footnote>Entities: <person>, <place>, <thing>Facts: relationships between entities And much more: molecules, diseases, concepts, sentiment, parts-of-speech, coordinates, ...


XQuery

XML Query language (XQuery)

Designed specifically for querying XML

Kind of SQL for XML

Recently became an approved W3C standard

De-risk: use, acquisition from small suppliers

Reflects the XML bifurcation

RDBMS vendors: data-centric implementations

XML content server vendors: content-centric implementations

Poorly named: much more than a query language

Programming language for building XML-based web applications


Digital Product Creation: Traditional

Decide what you want to build

Round up content for it

From inside the organization

License from outside if necessary

Normalize that content

Get it to one DTD or schema

Build application / delivery system from scratch

See if it works

App

All fixed cost


Digital Product Creation: New

Round up all your contentSemi-normalize it

Create platform to accelerate new product creation

Decide what you want to build

License additional content if needed

Clean-up and enrich to enable the app

Build application / delivery system on the platform

See if it works

Platform

App

Use platform to reduce marginal costof applications

App App●●


Digital Product Creation Activities

Integrate

Of internal, licensed external, and possibly Internet content

Enrich

From basic clean-up to advanced entity, fact, concept, and sentiment extraction

Contextualize

Creation of content applications that don’t just provide information

But instead help a known role accomplish a known task


Integrate: Oxford’s AASC


Integrate: O’Reilly SafariU


Enrich: Intelligence Demo

<inxight:travel>

<inxight:person confidence="100">President Nixon</inxight:person>

went to <inxight:city confidence="100" latitude="39.928888"

longitude="116.388333">Beijing</inxight:city> for a week early

in <inxight:year confidence="100">1972</inxight:year>, meeting

<inxight:person confidence="90"

reference="person5">Mao</inxight:person> as well as

<inxight:person confidence="90">Zhou</inxight:person>.

</inxight:travel>

Fact extraction (relationships between entities)

Also have sentiment extraction, concept extraction, entity extraction, part-of-speech extraction, … (“a boy and his algorithm”)


Contextualize: Elsevier PathCONSULT

For pathologistsdoing differential diagnosis


Resources

Querying XML

Melton and Buxton

Mark Logic CEO blog

http://marklogic.blogspot.com

Discovering XQuery blog

http://xquery.typepad.com

CMS Watch

www.cmswatch.com

Text Technologies, DBMS2

www.texttechnologies.com

www.dbms2.com

XML and databases

http://www.rpbourret.com/xml/xmlanddatabases.htm

Cross Media Strategy I: Tools & Technologies

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