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Semantic Content Management
Techniques and Tools
Talk at MODULE University Vienna 	

Thomas Kurz	

!
2014/02/06	

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

John
Pereira

Aingaran
Pillai

Andrea
Volpini

Rupert
Westenthaler

Jakob
Frank

Sebastian
Schaffert

Sergio
Fernàndez

Semantic Content Management

Thomas
Kurz

David
Riccitelli

02/36
Outline

• Why we need Semantics in CMS ?	

• How can Semantic Web Technologies help ?	

• How Redlink makes the integration much easier ?	

!

• Excursus: What about Semantic Media Asset
Management Systems

Semantic Content Management

03/36
"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

Semantic Content Management

04/36
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) 

Semantic Content Management

05/36
Semantic Content Management

06/36
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 UT …
Semantic Content Management

07/36
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	


!

• 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

Semantic Content Management

08/36
The GOAL

It would be right/wrong
to sell the product to
John Smith.
WISDOM
John Smith is a
potential customer
for your products

+ Insight

KNOWLEDGE
+ Meaning

INFORMATION

John Smith
is a name

+ Context

John Smith

DATA

Semantic Content Management

09/36
Slide by Nova Spivack, Radar Networks

Semantic Content Management

10/36
How Semantic Web Technologies can help

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

Semantic Content Management

11/36
(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.

Semantic Content Management

12/36
Semantic Lifting via Natural Language Processing

Semantic Content Management

13/36
How should we handle this?

Semantic Content Management

14/36
The Redlink Platform

Semantic Content Management

15/36
01/02
The Open Platform for Linked Data
http://marmotta.apache.org/

• Read-Write Linked Data	

• Triple store with transactions, versioning and reasoning	

• SPARQL and LDPath query languages	

• Transparent Linked Data Caching
Semantic Content Management

16/36
The Toolbox for Semantic Lifting
http://stanbol.apache.org

• Semantic Enhancement process chaining	

• Several Natural Language processing facilities	

• Multi-language support	

• Classification and Sentiment Analysis
Semantic Content Management

17/36
The highgly scalable Search Server
http://lucene.apache.org/solr/

• Based on Apache Lucene	

• Many language specific processing procedures	

• Highly scalable (Solr cloud) and ultra fast	

• Highly configurable
Semantic Content Management

18/36
DEV.REDLINK.IO

Semantic Content Management

19/36
PART II
!

Media Asset Management
Bridging the Semantic Gap
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)

Semantic Web Technologies can bridge the gap
Semantic Content Management

21/36
01/02
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)
What do we need to bring
Media Objects in the Web of Data
Semantic Content Management

22/36
01/02
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)]	


!

	

 	

 	

 	

 	

 	

 temporal	

 	

 t=10,20	

	

 	

 	

 	

 	

 	

 spacial	

 	

 	

 xywh=0,0,20,20	

	

 	

 	

 	

 	

 	

 track	

 	

 	

 track=audio	

	

 	

	

 	

 	

 	

 	

 	

 id	

	

 	

 	

 	

 id=chapter2	

!

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

Semantic Content Management

23/36
01/02
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]	


!

Open Annotation Collaboration	

!
!
!

Semantic Content Management

24/36
01/02
Semantic Content Management

24/36
Hello, my name is Tom!

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

26/36
RDFize Tom's statement

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

Semantic Content Management

27/36
RDFize Tom's statement

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

Semantic Content Management

28/36
Link to external resources

Semantic Content Management

29/36
But what about this?

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

30/36
Extract Information

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

31/36
Link Information
:image!
:hasFragment!
:image#xywh=...!
!
:image#xywh=...!
:subject foaf:Person!
!
:image !
:hasFragment !
:image#xywh=..!
!
:image#xywh=.. !
:subject !
dbpedia:EiffelTower!
(50%)

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

Semantic Content Management

32/36
Outlook

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

Semantic Content Management

34/36
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!

Semantic Content Management

35/36
Outlook

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

Semantic Content Management

36/36
Thanks for your attention!	

Any Questions?

thomas.kurz@redlink.co
Semantic Content Management

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Tirana Tech Meetup - Agentic RAG with Milvus, Llama3 and Ollama
 

The Redlink way towards a Semantic CMS

  • 1. Semantic Content Management Techniques and Tools Talk at MODULE University Vienna Thomas Kurz ! 2014/02/06 Vienna, Austria
  • 2. Redlink was founded in 2013/03 and is headquartered in SALZBURG , Austria. John Pereira Aingaran Pillai Andrea Volpini Rupert Westenthaler Jakob Frank Sebastian Schaffert Sergio Fernàndez Semantic Content Management Thomas Kurz David Riccitelli 02/36
  • 3. Outline • Why we need Semantics in CMS ? • How can Semantic Web Technologies help ? • How Redlink makes the integration much easier ? ! • Excursus: What about Semantic Media Asset Management Systems Semantic Content Management 03/36
  • 4. "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 Semantic Content Management 04/36
  • 5. 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)  Semantic Content Management 05/36
  • 7. 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 UT … Semantic Content Management 07/36
  • 8. 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 ! • 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 Semantic Content Management 08/36
  • 9. The GOAL It would be right/wrong to sell the product to John Smith. WISDOM John Smith is a potential customer for your products + Insight KNOWLEDGE + Meaning INFORMATION John Smith is a name + Context John Smith DATA Semantic Content Management 09/36
  • 10. Slide by Nova Spivack, Radar Networks Semantic Content Management 10/36
  • 11. How Semantic Web Technologies can help http://upload.wikimedia.org/wikipedia/commons/f/f3/Semantic_Web_Stack.png Semantic Content Management 11/36
  • 12. (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. Semantic Content Management 12/36
  • 13. Semantic Lifting via Natural Language Processing Semantic Content Management 13/36
  • 14. How should we handle this? Semantic Content Management 14/36
  • 15. The Redlink Platform Semantic Content Management 15/36 01/02
  • 16. The Open Platform for Linked Data http://marmotta.apache.org/ • Read-Write Linked Data • Triple store with transactions, versioning and reasoning • SPARQL and LDPath query languages • Transparent Linked Data Caching Semantic Content Management 16/36
  • 17. The Toolbox for Semantic Lifting http://stanbol.apache.org • Semantic Enhancement process chaining • Several Natural Language processing facilities • Multi-language support • Classification and Sentiment Analysis Semantic Content Management 17/36
  • 18. The highgly scalable Search Server http://lucene.apache.org/solr/ • Based on Apache Lucene • Many language specific processing procedures • Highly scalable (Solr cloud) and ultra fast • Highly configurable Semantic Content Management 18/36
  • 20. PART II ! Media Asset Management Bridging the Semantic Gap
  • 21. 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) Semantic Web Technologies can bridge the gap Semantic Content Management 21/36 01/02
  • 22. 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) What do we need to bring Media Objects in the Web of Data Semantic Content Management 22/36 01/02
  • 23. 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)] ! temporal t=10,20 spacial xywh=0,0,20,20 track track=audio id id=chapter2 ! http://www.w3.org/TR/media-frags/ Semantic Content Management 23/36 01/02
  • 24. 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] ! Open Annotation Collaboration ! ! ! Semantic Content Management 24/36 01/02
  • 26. Hello, my name is Tom! Last summer I was in Paris in France for vacation. It was really amazing. I love Paris! Semantic Content Management 26/36
  • 27. RDFize Tom's statement Tom  likes  Paris,  France.     -­‐>  Tom  likes  Paris.         -­‐>  (  Tom,  likes,  Paris  )     -­‐>  Paris  is  a  part  of  France.  -­‐>  (  Paris,  partOf,  France  )   Semantic Content Management 27/36
  • 28. RDFize Tom's statement Tom  likes  Paris,  France.     -­‐>  Tom  likes  Paris.         -­‐>  (  Tom,  likes,  Paris  )     -­‐>  Paris  is  a  part  of  France.  -­‐>  (  Paris,  partOf,  France  )   Semantic Content Management 28/36
  • 29. Link to external resources Semantic Content Management 29/36
  • 30. But what about this? Title:! „Me and the big thing“! Album:! „A vacation in Paris“! Author:! „Tom Tester“! Semantic Content Management 30/36
  • 31. Extract Information Title:! „Me and the big thing“! Album:! „A vacation in Paris“! Author:! „Tom Tester“! Semantic Content Management 31/36
  • 32. Link Information :image! :hasFragment! :image#xywh=...! ! :image#xywh=...! :subject foaf:Person! ! :image ! :hasFragment ! :image#xywh=..! ! :image#xywh=.. ! :subject ! dbpedia:EiffelTower! (50%) Title:! „Me and the big thing“! Album:! vacation in <http://dbpedia.org/resource/Paris>“! „A Author:! „<http://tom-tester.org/me>“ Semantic Content Management 32/36
  • 34. 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! Semantic Content Management 35/36
  • 36. Thanks for your attention! Any Questions? thomas.kurz@redlink.co Semantic Content Management