Transcript
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Talk at MODULE University Vienna Thomas Kurz

!2014/02/06

Vienna, Austria

Semantic Content Management Techniques and Tools

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Redlink was founded in 2013/03 and is headquartered in , Austria.SALZBURG

John Pereira

Aingaran Pillai

Andrea Volpini

Sebastian Schaffert

Rupert Westenthaler

Jakob Frank

Thomas Kurz

Sergio Fernàndez

David Riccitelli

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Outline

• Why we need Semantics in CMS ?

• How can Semantic Web Technologies help ?

• How Redlink makes the integration much easier ?

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• Excursus: What about Semantic Media Asset

Management Systems

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"We are drowning in information and starved for knowledge." John Naisbitt

• Content is highly available through the Internet

• Information are distributed over people and systems

• Data is available in various media and technical formats 

We need an efficient way for working with huge amounts of unstructured content

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Content Management Systems

• CMS are a single point of entry, providing consistency and the

foundations for collaborative work with content

• CMS provide functionalities to handle large amounts of content:

• Creation of new content

• Editing of existing content

• Organisation and management of content

• Presentation of content

• Media-neutral data management (separation of layout and content) 

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State of Play in Content Management

• Current solutions provide efficient ways to manage

content

• Domain-specific requirements, like “multichannel content

distribution” are addressed

• Content can be managed and presented in multi-media

formats 

… B U T …

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Problems in current Content Management Systems

• Content is only “understandable” by users and not by machines

• Irrelevant search results

• Aggregation of relevant content needs to be done manually

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• Inferring Knowledge from Content

• Dependencies, relations and inconsistencies among content items

need to be identified and defined manually

!

• Content is strongly connected to presentation

• works only inside a certain environment

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The GOAL

DATA

INFORMATION

KNOWLEDGE

WISDOM

+ Context

+ Meaning

+ Insight

John Smith

John Smith is a name

John Smith is a potential customer for your products

It would be right/wrong to sell the product to

John Smith.

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Slide by Nova Spivack, Radar Networks

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How Semantic Web Technologies can help

http://upload.wikimedia.org/wikipedia/commons/f/f3/Semantic_Web_Stack.png

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(Open) Linked Data

1. Use URIs as names for things

2. Use HTTP URIs so that people can look up those names.

3. When someone looks up a URI, provide useful information, using

the standards (RDF*, SPARQL)

4. Include links to other URIs. so that they can discover more things.

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Semantic Lifting via Natural Language Processing

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How should we handle this?

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The Redlink Platform

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• Read-Write Linked Data

• Triple store with transactions, versioning and reasoning

• SPARQL and LDPath query languages

• Transparent Linked Data Caching

The Open Platform for Linked Data

http://marmotta.apache.org/

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• Semantic Enhancement process chaining

• Several Natural Language processing facilities

• Multi-language support

• Classification and Sentiment Analysis

http://stanbol.apache.org

The Toolbox for Semantic Lifting

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• Based on Apache Lucene

• Many language specific processing procedures

• Highly scalable (Solr cloud) and ultra fast

• Highly configurable

http://lucene.apache.org/solr/

The highgly scalable Search Server

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DEV.REDLINK.IO

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PART II !

Media Asset Management Bridging the Semantic Gap

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Semantic Media Asset Management Systems

• Multimedia Content is enormously growing within the last

decade (Web 2.0)

• Multimedia Content must be prepared for automatic processing

• for multimedia retrieval

• for reuse across platforms, contexts, locations, languages

• Multimedia Content Management Systems heavily rely on high

quality metadata (meaning is hidden Semantic Gap)

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Semantic Web Technologies can bridge the gap

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Where we use Semantics

• Controlled Vocabularies

• Domain specific Thesauri using standard representations

• Reuse of external data

• Create Knowledge by linking

• (Semi-) Automatic Metadata enrichment and classification

• Semantic Search (Facetting, Synonymes, Multilingual)

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What do we need to bring Media Objects in the Web of Data

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Media Fragments

„ … a media-format independent, standard means of addressing

media fragments on the Web using Uniform Resource Identifiers. “ [W3C Recommendation: Media Fragments URI 1.0 (basic)]

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temporal t=10,20

spacial xywh=0,0,20,20

track track=audio

id id=chapter2

!

http://www.w3.org/TR/media-frags/

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Media Resource Description

Ontology for Media Resources 1.0

„ … to bridge the different descriptions of media resources, and

provide a core set of descriptive properties.“ [W3C Recommendation: Ontology for Media Resources 1.0]

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Open Annotation Collaboration

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Hello, my name is Tom!

Last summer I was in Paris in France for vacation. It was really amazing. I love Paris!

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RDFize Tom's statement

Tom  likes  Paris,  France.     -­‐>  Tom  likes  Paris.         -­‐>  (  Tom,  likes,  Paris  )     -­‐>  Paris  is  a  part  of  France.  -­‐>  (  Paris,  partOf,  France  )  

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RDFize Tom's statement

Tom  likes  Paris,  France.     -­‐>  Tom  likes  Paris.         -­‐>  (  Tom,  likes,  Paris  )     -­‐>  Paris  is  a  part  of  France.  -­‐>  (  Paris,  partOf,  France  )  

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Link to external resources

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But what about this?

Title:! „Me and the big thing“!Album:! „A vacation in Paris“!Author:!„Tom Tester“!

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Extract Information

Title:! „Me and the big thing“!Album:! „A vacation in Paris“!Author:!„Tom Tester“!

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Link Information

Title:!„Me and the big thing“!Album:!„A vacation in <http://dbpedia.org/resource/Paris>“!Author:! „<http://tom-tester.org/me>“

:image!:hasFragment!:image#xywh=...!!:image#xywh=...!:subject foaf:Person!!:image !:hasFragment !:image#xywh=..!!:image#xywh=.. !:subject !dbpedia:EiffelTower!(50%)

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http://www.mico-project.eu/Outlook

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Create new facts by using Contextual Semantics

:image :hasFragment :image#xywh=...!:image#xywh=... :subject foaf:Person!:image :author tom:me!!:image :hasFragment :image#xywh=..!!:image :location dbpedia:Paris!:image :location geonames:France!!:image#xywh=.. :subject dbpedia:EiffelTower!(+90%)!!:image :showsOnTheLeft tom:me (50%)!:image :showsOnTheRight dbpedia:EiffelTower!:image :showsOnTheRight dbpedia:VisitorAtraction!

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http://www.mico-project.eu/Outlook

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Thanks for your attention! Any Questions?

[email protected]


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