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Page 1: Linked Data: the Entry Point for Worldwide Media Fragments Re-use and Copyright Management?

Linked Data: the Entry Point for Worldwide Media Fragments Re-use and Copyright

Management?

Roberto GarcíaUniversitat de Lleida, Spain

SemTechBizNYC’13 - October 2-3, 2013, New York City

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MediaMixerCommunity set-up and networking for the reMIXing of online MEDIA fragments

• FP7 Coordination Action– Started November 2012 – Facilitate a Web-wide market for media

fragments re-purposing and re-sellingA history of G8 violence (© Reuters) http://slideshare.net/troncy/a-semantic-multimedia-web-create-annotate-present-and-share-your-media

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Introduction

• MediaMixer promotes the use of semantic technologies for media mixing

• Apply them in real use cases and demos– Fragmenting media assets– Annotating them using semantic descriptions– Exposing descriptions for fragment level

search– Representing, integrating and reasoning about

rights information

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Use Case

• User Generated Content

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Use Case

• UGC from reused media

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Use Case – ContentID

ContentID ©

©ContentID

match

match

match

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Use Case

©Block

Choices:

Track

Monetize

“Gangnam Style”, plus +33,000 videos using it, more than $870,000 ad revenue - New York Times, Dec 7th 2012

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Use Case - Disputes

• What if more than one ownership claim?

• If disputed, no one can monetize

©©

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Use Case - Claim?

• Are we sure we can claim?• Do we own that particular copy?• In that territory?• Also in relation with streaming and

YouTube?• Does the artist like being on

YouTube?• …

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Use Case - Claim?

Thousands of pieces of registered content…Thousands of videos on YouTube…

• Decision Support System (DSS)– You can claim on content-id X– You can’t really claim on content-id Y– Trade X for Y with C (who owns Y and

wrongly claims X)

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Use Case - Claim?

• Rights DSS requirements:– Fine grained– Scalable (largely automatized)– Takes into account:

• Contracts“…all rights on the live version but studio version just in the US.”

• Policies“…artist does not want his music together with violent images”.

• Rights Expression LanguagesDDEX metadata: <UseType>OnDemandStream</UseType>

<TerritoryCode>Worldwide</TerritoryCode>

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MediaMixer TechnologiesProposed Architecture

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Media Fragments

13

• Goal: transform whole videos to sets of meaningful, indexable and re-usable video fragments

Person, Snow, Trees, Building, Ski, …

Baseball, Throwing, Sports, Plant, Running, …

Kitchen, Indoor, Cake, …

Concept and Event Detection

Semantic Media

Annotation

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Linked Data

• Globally unambiguous identifiers for any concept needed– Ideally more information

about the concept itself is available via the identifier

– Use of Web URIs → Linked Data concept space

– Would allow for inference of concept type and relationship to other concepts

Semantic Media

Annotation

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http://rhizomik.net/mediamixer/rightsbuilderui/

Assisted Policy and Agreement Modelling User Interface

Rights Builder User Interface

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Semantic Data Exploration

http://rhizomik.net/mediamixer/

Rhizomer Media Explorer

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DDEX Sample-08.04.xml<Deal>

<DealTerms><ValidityPeriod><StartDate>2013-01-01</StartDate></ValidityPeriod><Usage><UseType>OnDemandStream</UseType><DistributionChannelType>Internet</DistributionChannelType></Usage><TerritoryCode>ES</TerritoryCode><TerritoryCode>US</TerritoryCode></DealTerms>

</Deal>

Copyright Ontology Model<http://media.com/agreement#1> owl:Class;

co:start "2013-01-01" ;owl:intersectionOf (ddex:OnDemandStream [ a owl:Restriction ;

owl:onProperty co:medium ;owl:someValuesFrom ddex:Internet ][ a owl:Restriction ;owl:onProperty co:location ;owl:someValuesFrom [ a owl:Class ;owl:oneOf (territory:ES territory:US) ][ a owl:Restriction ;owl:onProperty co:theme ;owl:hasValue<http://my.tv/video.ogv#t=60,100> ]

]) .

DDEX XML to Semantic Web

Technologies

Rights Language Mapping

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ODRL to Semantic Web

Technologies

@prefix co: <http://rhizomik.net/ontologies/2013/05/copyrightonto.owl#> . @prefix odrlv: <http://w3.org/ns/odrl/vocab#> . @prefix owl: <http://www.w3.org/2002/07/owl#> .

<http://example.com/policy> a co:Agree ; co:agent <http://example.com/billie>, <http://example.com/sony> ; co:theme [ a owl:Class ; co:end "2012-12-31" ; co:start "0001-01-01" ; owl:intersectionOf (

[ owl:intersectionOf (odrlv:play [ owl:complementOf odrlv:mobile_ringtone ] ) ]

[ a owl:Restriction ;owl:hasValue <http://example.com/billie> ;owl:onProperty co:agent ]

[ a owl:Restriction ;owl:hasValue <http://example.com/music> ;owl:onProperty co:theme ] ) ] .

<http://example.com/sony:10> a schema:Organization.<http://example.com/music> a co:Creation.<http://example.com/billie> a schema:Person.

Copyright Ontology license to text: “Sony and billie Agree that billie play and not mobile ringtone music”.

Rights Language Mapping

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Creative Commons BY-SA to

Semantic Web Technologies

Rights Language Mapping

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Copyright Ontology

Lifecycle, Actions, Rights,…

RDF Store & Reasoner

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• Ontology provides building blocks to model and reason about contracts, policies, rights expression languages…

No, because it is matched to pattern

which prohibits it:“Artists does not want her music with violent images”

Can we claim asset X

Agree

Disagre

e

Copyright Ontology

Reasoning

RDF Store & Reasoner

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• Following Linked Data principles, starting from just content ID (URI)…

Use Case-focused solution…but Web-wide applicability

Content

URI

URI a ma:Image dct:title “EBU HQ” dct:copyright URI … H

TT

P G

ET

text/n3

HTTP GETimage/jpeg

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Linked Data for Worldwide Copyright Management?

Content

URI

URI a ebucore:Image dct:title “EBU HQ” dct:copyright URI …

HT

TP

GE

T

Agreement

URI

URI a co:Agreement co:agent URI co:theme … …

HT

TP

GE

T

Person

URI

URI a foaf:Person foaf:name “…” vcard:address … vcard:country URI

HT

TP

GE

T

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Semantic Technologies for Rights Data Integration & Intelligence

MediaMixer Technologies

(media fragments, semantic data,

annotation, ontologies, reasoning,…)

Policy 1: The licensor disagrees the licensee adaptsmedia fragments containing…

<xml><right> <play/></right><content id=“frg1”/></xml>

Semantic Media

Annotation

Rights Builder User Interface

Rights Language Mapping

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Interested? Get involved• Join MediaMixer community to know more

(http://community.mediamixer.eu):– discussions, use cases, demonstrators,

tutorials, presentations, software,…

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More details:http://community.mediamixer.eu@project_mmixer

Roberto García (@rogargon)Universitat de Lleida, Spain

http://rhizomik.net/~roberto

Thank you for your attention

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Annex A

Copyright Reasoning ExplainedMore details: http://rhizomik.net/copyrightonto/

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Copyright ReasonerReasoning Explained

• Vocabularies and ontologies provide the building blocks:– Classes– Properties– Instances– Restrictions– …

Copyright Ontology Schema.org

Media Ontology

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Copyright ReasonerReasoning Explained

• These blocks can be combined to model facts like:– A person is the creator of an asset– An asset is part of a compilation– …or an employee wants to reuse a

piece of content.

Copyright Ontology Schema.org Media Ontology

Event 1: A XYZ Media employee

Adapt Video result

Creation…

Uses:

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Copyright ReasonerReasoning Explained

• Blocks can also model patterns to be matched by facts:– For instance a rights expression

authorising to reuse a mediafragment…

Copyright Ontology Schema.org Media Ontology

<odrl><resource>…</resource> <adapt>…

<content id></odrl>

ODRL file:

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Copyright ReasonerReasoning Explained

• Blocks can also model patterns to be matched by facts:– …or prohibitions, like a policy

forbidding to reuse violent media for educational content

Copyright Ontology RRM Ontology Media Ontology

Policy 1: Disagree

Adapt Creation

has subject Violence…

Policy:

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Copyright ReasonerReasoning Explained

• All these models are then placed into a reasoner– A tool based on semantic technologies capable of mixing

them taking into account ontologies (constraints, functions, rules,…)

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Copyright ReasonerReasoning Explained

• Ontologies teach the reasoner how to: – Detect when some facts match a pattern

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Copyright ReasonerReasoning Explained

• Ontologies teach the reasoner how to: – Give precedence to patterns so others cannot

match

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Copyright ReasonerReasoning Explained

• Ontologies teach the reasoner how to: – …and interpret some patterns as allowed and

others as prohibited

Agree

Disagre

e

AllowedProhibited

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Copyright ReasonerReasoning Explained

• So they can respond to queries based on all this:No, because it is matched

to pattern

which prohibits it.

Can we reuse asset A

Agree

Disagre

e


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