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LinkedMedia: 
An approach to online media re-use 
Lyndon Nixon 
MODUL University Vienna 
lyndon.nixon@modul.ac.at 
RE-USING MEDIA ON THE (SEMANTIC) WEB 
ISWC2014 Tutorial, Riva de Garda, Italy, October 20 2014
20.10.14 Slide 2 of 50 
Agenda 
• Session 1: Media fragment specification and semantics 
• Summary: Introduce the W3C Media Fragment URI specification and the Open 
Annotation model. Highlight how media fragments can be annotated using NER 
tools. 
• Session 2: Linked Media principles 
• Summary: Introduce the Linked Media principles. How to 
publish Linked Media in RDF and how to retrieve media 
enrichments. Illustration with Linked Media applications. 
• Session 3: User experience driven design of Linked Media applications 
• Summary: Present the Web and TV convergence. Describe LinkedTV experience 
via two innovative applications. 
2
2/3: LinkedMedia 
• Introducing the Linked Media principles 
• Publishing Linked Media 
• LinkedTV Platform (Virtuoso) 
• Retrieval of Linked Media 
• Enrichment of media (LinkedTV) 
• Browsing and linking media 
(VideoLyzard, HyperTED) 
3 
20.10.14 Slide 3 of 50
Linked Media 
20.10.14 Slide 4 of 50
Why is Online Media important? 
„It is growing at more than 20% per annum, fuelled by increased 
demands for new programming and the huge saving it represents 
compared with shooting new footage. Interactive technology and the 
Internet will further contribute to the growth of the market as it makes 
stock footage cheaper and easier to locate and license.“ 
- http://moneyam.uk-wire.com/cgi-bin/articles/200201020827103514P.html 
20.10.14 Slide 5 of 50
Why Semantic Media? 
20.10.14 Slide 6 of 50
20.10.14 Slide 7 of 50 
Why Linked Media?
20.10.14 Slide 8 of 50 
Why Linked Media?
20.10.14 Slide 9 of 50 
Why Linked Media?
20.10.14 Slide 10 of 50 
Why Linked Media? 
From Lyndon Nixon, „The importance of Linked Media to the Future Web“ 
slideshare.net/linkedtv/www-linked-media-keynote
Linked Media Principles 
1. Web media descriptions 
need a common 
representation of media 
structure 
22.. WWeebb mmeeddiiaa ddeessccrriippttiioonnss 
nneeeedd aa ccoommmmoonn 
rreepprreesseennttaattiioonn ooff mmeeddiiaa 
ccoonntteenntt 
33.. WWeebb mmeeddiiaa ddeessccrriippttiioonnss nneeeedd ttoo uussee aa 
mmeeddiiaa oonnttoollooggyy wwhhiicchh ssuuppppoorrttss ddeessccrriippttiioonn 
ooff bbootthh tthhee ssttrruuccttuurree aanndd ccoonntteenntt ooff mmeeddiiaa 
20.10.14 Slide 11 of 50
Linked Media Principles 
44.. TThhee ddeessccrriippttiioonnss ooff 
mmeeddiiaa iinn tteerrmmss ooff 
ccoommmmoonn 
rreepprreesseennttaattiioonnss ooff 
ssttrruuccttuurree aanndd ccoonntteenntt 
aarree tthhee bbaassiiss ffoorr ddeerriivviinngg 
lliinnkkss aaccrroossss mmeeddiiaa oonn 
tthhee WWeebb ((LLiinnkkeedd MMeeddiiaa)) 
20.10.14 Slide 12 of 50
20.10.14 Slide 13 of 50 
Linking Media 
Prime Minister 
South Africa President 
Mozambique
Publishing 
Linked Media 
20.10.14 Slide 14 of 50
Linked Media is Linked Data 
Good news: Linked Media can be published as Linked 
Data! 
•The media resource has a globally (Web wide) unique 
identifier 
•Metadata about the media resource can be accessed via 
its identifier 
•Media identifier can‘t be = media locator! 
20.10.14 Slide 15 of 50
20.10.14 Slide 16 of 50 
LinkedTV Platform 
Web administration interface & REST API at 
http://api.linkedtv.eu
Media Resource view 
20.10.14 Slide 17 of 50
Media Metadata view 
http://data.linkedtv.eu is the base of the RDF graph of 
LinkedTV content, and via Virtuoso, every LinkedTV 
instance URI can return HTML or RDF, e.g. 
http://data.linkedtv.eu/mediaresource/8a8187f2-3fc8-cb54- 
0140-7dccd76f0001 
20.10.14 Slide 18 of 50
Media Metadata view 
Media fragments of a media resource: 
http://data.linkedtv.eu/mediaresource/8a8187f2-3fc8-cb54- 
0140-7dccd76f0001/mediafragment 
20.10.14 Slide 19 of 50
Media Metadata view 
Annotations of a media fragment: 
http://data.linkedtv.eu/mediafragment/3d5b11e0-f6df-11e3- 
b0fe-005056a7235c%23t=1,299/annotation 
20.10.14 Slide 20 of 50
Linked Media 
retrieval 
20.10.14 Slide 21 of 50
20.10.14 Slide 22 of 50 
SPARQL endpoint 
SPARQL queries allow us to connect metadata across the 
Linked Media store AND to connect it to other metadata 
outside in the Linked Data cloud. 
Linked Media queries courtesy LinkedTV deliverable 2.4 
„Annotation and retrieval module of media fragments“ (Jose 
Luis Redondo Garcia & Raphael Troncy) available from: 
http://de.slideshare.net/linkedtv/annotation-and-retrieval-module- 
of-media-fragments
20.10.14 Slide 23 of 50 
SPARQL queries 
Get all Shots or Chapters for a media resource.
20.10.14 Slide 24 of 50 
SPARQL queries 
Return all entities of type nerd:Person in the annotation of a media resource.
20.10.14 Slide 25 of 50 
SPARQL queries 
Return all entities occurring within a temporal boundary of a media resource.
20.10.14 Slide 26 of 50 
LinkedTV
Why Linked Television? 
http://www.linkedtv.eu 
20.10.14 Slide 27 of 50 
40% of TV viewers are using a 
companion device alongside the TV 
program.* 
* J. Abreu, P. Almeida, B. Teles, and M. Reis. Viewer behaviors and practices 
in the (new) television environment. In Proceedings of the 11th European 
Conference on Interactive TV and Video, EuroITV '13. 
Ever saw 
something on TV 
and wanted to know 
more about it, but 
didn‘t even know 
how to search for 
it?
LinkedTV Technology 
Paintings by Jan Sluijters 
Selection of 
related concepts 
Selection of 
related content 
20.10.14 Slide 28 of 50 
Video object and 
word detection 
Connection to 
concepts 
“...schilderij van Jan Sluijters....” 
dbpedia.org/resource/Jan_Sluyters 
Presentation 
engine
The use of Linked Data in the identification 
of concepts in LinkedTV means we can 
expand concepts along different facets, i.e. 
allow users to explore in terms of their 
different interests in a given concept. 
For example, for an artist like Jan Sluijters, 
has art style 
Leo Gestel 
20.10.14 Slide 29 of 50 
Related concepts 
 Additional information, e.g. 
 biography of artist 
 style of painting 
 Related information, e.g. 
 artists from same 
period 
 paintings in similar style 
 related styles 
Paintings by Jan Sluijters 
Expansion of 
related concepts 
Jan Sluijters 
luminism 
has art style 
Piet Mondriaan 
has art style 
LinkedTV can link into:
20.10.14 Slide 30 of 50 
Related content 
LinkedTV provides enrichment services 
which provide recommendations for 
related online content (Web pages, 
images, audio, video) pertaining to the 
concepts in the TV program: 
– Fresh Social Web content coming 
from e.g. Twitter and Facebook 
– User Generated content coming 
from e.g. Flickr and YouTube 
– Whitelist content coming from 
partner Websites like public 
broadcasters in Germany or cultural 
heritage archives in the Netherlands 
– Extendable and configurable by 
source and media type 
… and their digital images 
Linking to 
related content
LinkedTV „enrichment“ 
Base enrichments: title, thumbnail (poster), description (abstract) 
Information cards: set of properties and values according to the entity type 
Linksets: links to online content determined by queries 
over Web content sources using a group of entities as 
search term 
•Linksets can be split along enrichment dimensions 
•Dimensions are distinct aspects of interest to viewers 
•They map to different queries & services in LinkedTV 
20.10.14 Slide 31 of 50
LinkedCulture enrichment 
TKK Video 
Chapter segmentation + tagging as „Art Object“ 
TV2RDF incl. Art Object annotation 
Entity Proxy 
20.10.14 Slide 32 of 50 
Related 
TKK 
chapters 
(Solr) 
Related 
art objects 
(Europeana) 
Related 
White List 
media 
(IRAPI) 
TVEnricher (TKK configuration) 
Editor Tool LinkedTV Player
Art objects in TKK episodes 
20.10.14 Slide 33 of 50
Art object: semantic model 
20.10.14 Slide 34 of 50 
http://data.linke 
dtv.eu/object/a 
vro/8a8187f2- 
3fc8-cb54- 
0140- 
7dccd76f0001/ 
2138 
A silver tea jar 
RDF Is-a Container http://vocab.getty.ed 
u/aat/300045611 
CRM Consists-of Silver http://vocab.getty.ed 
u/aat/300010975 
VRA 
locationCreationSite 
Friesland http://www.geoname 
s.org/2755812 
DCT temporal Start: 1690, End: 1742
Mapping to Europeana API 
what: 
(container+OR+houder+OR+bak+OR+ta 
nk+OR+blik) 
proxy_dc_format:zilver 
where:Friesland 
20.10.14 Slide 35 of 50 
http://data.linke 
dtv.eu/object/a 
vro/8a8187f2- 
3fc8-cb54- 
0140- 
7dccd76f0001/ 
2138 
A silver tea jar 
RDF Is-a Container 
CRM Consists-of Silver 
VRA 
Friesland 
locationCreationSite 
DCT temporal Start: 1690, End: 1742 
YEAR:[1690+TO+1742]
20.10.14 Slide 36 of 50 
Enrichment results 
Friesian silver from 
1690 to 1742 to 1742
LinkedNews enrichment 
RBB Video 
Chapter segmentation + tagging as „News Item“ 
Named Entity Expansion over news items 
Entity Proxy 
20.10.14 Slide 37 of 50 
Related 
news 
items 
(Solr) 
Related 
news articles 
(TVNews-Enricher) 
Related 
White List 
media 
(IRAPI) 
TVEnricher (RBB configuration) 
Editor Tool LinkedTV Player
20.10.14 Slide 38 of 50 
Entity Proxy 
Fill information cards for entities giving values 
for their most relevant properties.
20.10.14 Slide 39 of 50 
TVNewsEnricher 
Returns news media sources related to given 
entity sets, powered by Google CSE
IRAPI: Web media crawler 
Extract descriptions of media on websites so that 
related media can be found 
Video 
Title 
Description 
Entities, e.g. 
http://dbpedia.org/ 
resource/Edward_ 
Snowden 
20.10.14 Slide 40 of 50
20.10.14 Slide 41 of 50 
VideoLyzard
Climate Change 
Portal 
20.10.14 Slide 42 of 50 
42
http://link.weblyzard.com/video-showcase 
Video 
fragments 
in search 
results Video 
20.10.14 Slide 43 of 50 
VideoLyzard 
43 
fragment 
playback
20.10.14 Slide 44 of 50 
VideoLyzard
20.10.14 Slide 45 of 50 
VideoLyzard 
More Negative More Positive
20.10.14 Slide 46 of 50 
HyperTED 
Content courtesy EURECOM (José Luis Redondo García, 
Raphael Troncy, Mariella Sabatino & Pasquale Lisena)
20.10.14 Slide 47 of 50 
198 
4 
.com 
200 
6 
CHAPTERS 
201 
4 
HOT SPOTS 
ENTITIES 
RELATED TED’S 
CHAPTERS 
THE 
MYSTERIOUS 
FIELD OF 
ENGINEERING 
SYSTEMS 
UNDERSTANDI 
NG 
ENVIRONMEN 
T: 
A SYSTEM 
APPROACH 
SYSTEMS 
PRACTICE: 
MANAGING 
SUSTAINABIL 
ITY 
COURSES
Hotspots 
Cluster video chapters which share similar topics 
20.10.14 Slide 48 of 50
20.10.14 Slide 49 of 50 
Architecture 
49
Demo 
http://linkedtv.eurecom.fr/HyperTED 
20.10.14 Slide 50 of 50
MediaMixer 
community portal 
Introduction to all technologies at 
community.mediamixer.eu/technology 
Updated with latest materials on all 
Media Mixer topics: 
Technology use cases 
Demonstrators 
Tutorials 
Presentations 
Software 
Specifications 
http://community.mediamixer.eu 
20.10.14 Slide 51 of 50
VideoLecturesMashup 
20.10.14 Slide 52 of 50
MediaMixer use case: 
VideoLecturesMashup 
20.10.14 Slide 53 of 50
Video fragment creation 
Fragments were created 
based on the slide 
synchronisation timeline. 
Transcripts (auto-generated 
by speech-to-text 
technology where 
necessary) were parsed and 
… there are three split across fragments. 
Kingdoms of Life, 
Bacteria, Archaea 
and Eukaryota... 
20.10.14 Slide 54 of 50
Video fragment annotation 
Fragments were then annotated by 
extracting topics from their textual 
metadata (slide OCR or speaker 
transcription). 
Topics are connected to a global 
knowledge model (DBPedia). 
20.10.14 Slide 55 of 50 
Video Fragment 
(4:41-5:12) 
Archaea
20.10.14 Slide 56 of 50 
Video fragment 
management 
Annotations are managed in 
a separate metadata store. 
The store provides a 
semantic query endpoint 
returning lists of video 
fragments matching a query 
topic (including semantically 
related topics) 
Acidiplasma „type“ relation 
Archaea 
Video 
Fragment 
(4:41-5:12)
Video fragment playback 
The front end uses HTML5 
or Flash. Both codebases 
are extended to support 
video fragment playout. 
Individual playback can be 
modified to linear or non-linear 
channels (for e.g. a 
TV or mobile video 
experience) 
20.10.14 Slide 57 of 50
VideoLecturesMashup - demo 
20.10.14 Slide 58 of 50 
http://mediamixer.videolectures.net
20.10.14 Slide 59 of 50
20.10.14 Slide 60 of 50
20.10.14 Slide 61 of 50
20.10.14 Slide 62 of 50
20.10.14 Slide 63 of 50 
Reference
SPARQL RDF query 
language 
RDF data is a „labeled, directed graph“ 
without any fixed vocabulary (this is defined 
in RDF Schema). A query language for RDF 
needs to support this data model: 
•Tranversing paths in a RDF graph 
•Being independent of any defined 
vocabulary 
•Able to query over the data or the schema 
SPARQL („sparkle“) is a W3C standard 
supported in most RDF tools 
•SELECT... WHERE.... constructions like in 
SQL 
•Path expressions 
•Additional keywords for more query 
expressiveness 
20.10.14 Slide 64 of 50
Examples: triple patterns 
The basic idea in SPARQL is to match graph patterns against RDF graphs.To 
understand graph patterns we must first define triple patterns: 
• A triple pattern is similar to a triple (in RDF) but with one or more variables in 
the place of a RDF resource (URI or literal) 
Triple: dbpedia:Lou_Reed foaf:givenName „Lewis Allen Reed“ . 
Triple pattern: dbpedia:Lou_Reed foaf:givenName ?name . 
?name is the variable. If a RDF graph with the above triple is queried with the 
below triple pattern, then in the SPARQL results the variable ?name would be 
‚bound‘ to the value „Lewis Allen Reed“. 
• A SPARQL query result is a set of bindings for the variables appearing in the 
SELECT clause, based on matching RDF resources to variables in triple 
patterns in the WHERE clause. . 
20.10.14 Slide 65 of 50
Examples: conjunctive and 
disjunctive query 
In graph patterns, several triple patterns are listed within braces { ... } and 
these are interpreted conjunctively: 
Ex: { ?what tech:noOfWheels „4“ . 
?what tech:minSpeed „180“ . } 
The variable ?what will only be bound to resources which BOTH have 4 wheels 
AND a minimum speed of 180. 
You can also join results from distinct graph patterns using the UNION 
keyword. Note that result sets from graph patterns and from UNIONs are 
different, since UNION works disjunctively: 
Ex: { ?what tech:noOfWheels „4“ . } 
UNION { ?what tech:minSpeed „180“ . } 
20.10.14 Slide 66 of 50
Examples: FILTER, ORDER 
BY 
SPARQL has many other keywords. FILTER restricts variable bindings 
returned in query results to those for which the filter expression evaluates to 
true. A filter applies to solutions over the entire graph pattern it is contained in. 
Ex: { ?what tech:noOfWheels „4“ . 
?what tech:minSpeed ?speed . 
FILTER ( ?speed > 170 ) } 
The ORDER BY keyword determines the sequence of query results returned 
according to a sort on the referenced variable‘s bindings, ascending by default: 
Ex: { ?what tech:minSpeed ?speed . } 
20.10.14 Slide 67 of 50 
ORDER BY ?speed 
Or ORDER BY DESC(?speed)
Query for media fragments: 
SPARQL-MM 
Research work in progress: extending SPARQL to Media Fragments by adding 
spatio-temporal filter and aggregration functions. 
Relation 
Function 
Aggregation 
Function 
Spatial mm:rightBeside mm:spatialIntersection 
mm:spatialOverlaps mm:spatialBoundingBo 
x 
… … 
Temporal mm:after mm:temporalIntersecti 
on 
mm:temoralOverlaps mm:temporalIntermedi 
ate 
… … 
Courtesy Thomas Kurz (Salzburg Research) & MICO EU project 
http://demos.mico-project.eu/sparql-mm/sparql-mm/demo/index.html 
Combined mm:overlaps mm:boundingBox 
mm:contains mm:intersection 
20.10.14 Slide 68 of 50

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Remixing Media on the Semantic Web (ISWC2014 Tutorial) Pt 2 Linked Media: An approach to online media annotation and re-use

  • 1. 1 LinkedMedia: An approach to online media re-use Lyndon Nixon MODUL University Vienna lyndon.nixon@modul.ac.at RE-USING MEDIA ON THE (SEMANTIC) WEB ISWC2014 Tutorial, Riva de Garda, Italy, October 20 2014
  • 2. 20.10.14 Slide 2 of 50 Agenda • Session 1: Media fragment specification and semantics • Summary: Introduce the W3C Media Fragment URI specification and the Open Annotation model. Highlight how media fragments can be annotated using NER tools. • Session 2: Linked Media principles • Summary: Introduce the Linked Media principles. How to publish Linked Media in RDF and how to retrieve media enrichments. Illustration with Linked Media applications. • Session 3: User experience driven design of Linked Media applications • Summary: Present the Web and TV convergence. Describe LinkedTV experience via two innovative applications. 2
  • 3. 2/3: LinkedMedia • Introducing the Linked Media principles • Publishing Linked Media • LinkedTV Platform (Virtuoso) • Retrieval of Linked Media • Enrichment of media (LinkedTV) • Browsing and linking media (VideoLyzard, HyperTED) 3 20.10.14 Slide 3 of 50
  • 4. Linked Media 20.10.14 Slide 4 of 50
  • 5. Why is Online Media important? „It is growing at more than 20% per annum, fuelled by increased demands for new programming and the huge saving it represents compared with shooting new footage. Interactive technology and the Internet will further contribute to the growth of the market as it makes stock footage cheaper and easier to locate and license.“ - http://moneyam.uk-wire.com/cgi-bin/articles/200201020827103514P.html 20.10.14 Slide 5 of 50
  • 6. Why Semantic Media? 20.10.14 Slide 6 of 50
  • 7. 20.10.14 Slide 7 of 50 Why Linked Media?
  • 8. 20.10.14 Slide 8 of 50 Why Linked Media?
  • 9. 20.10.14 Slide 9 of 50 Why Linked Media?
  • 10. 20.10.14 Slide 10 of 50 Why Linked Media? From Lyndon Nixon, „The importance of Linked Media to the Future Web“ slideshare.net/linkedtv/www-linked-media-keynote
  • 11. Linked Media Principles 1. Web media descriptions need a common representation of media structure 22.. WWeebb mmeeddiiaa ddeessccrriippttiioonnss nneeeedd aa ccoommmmoonn rreepprreesseennttaattiioonn ooff mmeeddiiaa ccoonntteenntt 33.. WWeebb mmeeddiiaa ddeessccrriippttiioonnss nneeeedd ttoo uussee aa mmeeddiiaa oonnttoollooggyy wwhhiicchh ssuuppppoorrttss ddeessccrriippttiioonn ooff bbootthh tthhee ssttrruuccttuurree aanndd ccoonntteenntt ooff mmeeddiiaa 20.10.14 Slide 11 of 50
  • 12. Linked Media Principles 44.. TThhee ddeessccrriippttiioonnss ooff mmeeddiiaa iinn tteerrmmss ooff ccoommmmoonn rreepprreesseennttaattiioonnss ooff ssttrruuccttuurree aanndd ccoonntteenntt aarree tthhee bbaassiiss ffoorr ddeerriivviinngg lliinnkkss aaccrroossss mmeeddiiaa oonn tthhee WWeebb ((LLiinnkkeedd MMeeddiiaa)) 20.10.14 Slide 12 of 50
  • 13. 20.10.14 Slide 13 of 50 Linking Media Prime Minister South Africa President Mozambique
  • 14. Publishing Linked Media 20.10.14 Slide 14 of 50
  • 15. Linked Media is Linked Data Good news: Linked Media can be published as Linked Data! •The media resource has a globally (Web wide) unique identifier •Metadata about the media resource can be accessed via its identifier •Media identifier can‘t be = media locator! 20.10.14 Slide 15 of 50
  • 16. 20.10.14 Slide 16 of 50 LinkedTV Platform Web administration interface & REST API at http://api.linkedtv.eu
  • 17. Media Resource view 20.10.14 Slide 17 of 50
  • 18. Media Metadata view http://data.linkedtv.eu is the base of the RDF graph of LinkedTV content, and via Virtuoso, every LinkedTV instance URI can return HTML or RDF, e.g. http://data.linkedtv.eu/mediaresource/8a8187f2-3fc8-cb54- 0140-7dccd76f0001 20.10.14 Slide 18 of 50
  • 19. Media Metadata view Media fragments of a media resource: http://data.linkedtv.eu/mediaresource/8a8187f2-3fc8-cb54- 0140-7dccd76f0001/mediafragment 20.10.14 Slide 19 of 50
  • 20. Media Metadata view Annotations of a media fragment: http://data.linkedtv.eu/mediafragment/3d5b11e0-f6df-11e3- b0fe-005056a7235c%23t=1,299/annotation 20.10.14 Slide 20 of 50
  • 21. Linked Media retrieval 20.10.14 Slide 21 of 50
  • 22. 20.10.14 Slide 22 of 50 SPARQL endpoint SPARQL queries allow us to connect metadata across the Linked Media store AND to connect it to other metadata outside in the Linked Data cloud. Linked Media queries courtesy LinkedTV deliverable 2.4 „Annotation and retrieval module of media fragments“ (Jose Luis Redondo Garcia & Raphael Troncy) available from: http://de.slideshare.net/linkedtv/annotation-and-retrieval-module- of-media-fragments
  • 23. 20.10.14 Slide 23 of 50 SPARQL queries Get all Shots or Chapters for a media resource.
  • 24. 20.10.14 Slide 24 of 50 SPARQL queries Return all entities of type nerd:Person in the annotation of a media resource.
  • 25. 20.10.14 Slide 25 of 50 SPARQL queries Return all entities occurring within a temporal boundary of a media resource.
  • 26. 20.10.14 Slide 26 of 50 LinkedTV
  • 27. Why Linked Television? http://www.linkedtv.eu 20.10.14 Slide 27 of 50 40% of TV viewers are using a companion device alongside the TV program.* * J. Abreu, P. Almeida, B. Teles, and M. Reis. Viewer behaviors and practices in the (new) television environment. In Proceedings of the 11th European Conference on Interactive TV and Video, EuroITV '13. Ever saw something on TV and wanted to know more about it, but didn‘t even know how to search for it?
  • 28. LinkedTV Technology Paintings by Jan Sluijters Selection of related concepts Selection of related content 20.10.14 Slide 28 of 50 Video object and word detection Connection to concepts “...schilderij van Jan Sluijters....” dbpedia.org/resource/Jan_Sluyters Presentation engine
  • 29. The use of Linked Data in the identification of concepts in LinkedTV means we can expand concepts along different facets, i.e. allow users to explore in terms of their different interests in a given concept. For example, for an artist like Jan Sluijters, has art style Leo Gestel 20.10.14 Slide 29 of 50 Related concepts  Additional information, e.g.  biography of artist  style of painting  Related information, e.g.  artists from same period  paintings in similar style  related styles Paintings by Jan Sluijters Expansion of related concepts Jan Sluijters luminism has art style Piet Mondriaan has art style LinkedTV can link into:
  • 30. 20.10.14 Slide 30 of 50 Related content LinkedTV provides enrichment services which provide recommendations for related online content (Web pages, images, audio, video) pertaining to the concepts in the TV program: – Fresh Social Web content coming from e.g. Twitter and Facebook – User Generated content coming from e.g. Flickr and YouTube – Whitelist content coming from partner Websites like public broadcasters in Germany or cultural heritage archives in the Netherlands – Extendable and configurable by source and media type … and their digital images Linking to related content
  • 31. LinkedTV „enrichment“ Base enrichments: title, thumbnail (poster), description (abstract) Information cards: set of properties and values according to the entity type Linksets: links to online content determined by queries over Web content sources using a group of entities as search term •Linksets can be split along enrichment dimensions •Dimensions are distinct aspects of interest to viewers •They map to different queries & services in LinkedTV 20.10.14 Slide 31 of 50
  • 32. LinkedCulture enrichment TKK Video Chapter segmentation + tagging as „Art Object“ TV2RDF incl. Art Object annotation Entity Proxy 20.10.14 Slide 32 of 50 Related TKK chapters (Solr) Related art objects (Europeana) Related White List media (IRAPI) TVEnricher (TKK configuration) Editor Tool LinkedTV Player
  • 33. Art objects in TKK episodes 20.10.14 Slide 33 of 50
  • 34. Art object: semantic model 20.10.14 Slide 34 of 50 http://data.linke dtv.eu/object/a vro/8a8187f2- 3fc8-cb54- 0140- 7dccd76f0001/ 2138 A silver tea jar RDF Is-a Container http://vocab.getty.ed u/aat/300045611 CRM Consists-of Silver http://vocab.getty.ed u/aat/300010975 VRA locationCreationSite Friesland http://www.geoname s.org/2755812 DCT temporal Start: 1690, End: 1742
  • 35. Mapping to Europeana API what: (container+OR+houder+OR+bak+OR+ta nk+OR+blik) proxy_dc_format:zilver where:Friesland 20.10.14 Slide 35 of 50 http://data.linke dtv.eu/object/a vro/8a8187f2- 3fc8-cb54- 0140- 7dccd76f0001/ 2138 A silver tea jar RDF Is-a Container CRM Consists-of Silver VRA Friesland locationCreationSite DCT temporal Start: 1690, End: 1742 YEAR:[1690+TO+1742]
  • 36. 20.10.14 Slide 36 of 50 Enrichment results Friesian silver from 1690 to 1742 to 1742
  • 37. LinkedNews enrichment RBB Video Chapter segmentation + tagging as „News Item“ Named Entity Expansion over news items Entity Proxy 20.10.14 Slide 37 of 50 Related news items (Solr) Related news articles (TVNews-Enricher) Related White List media (IRAPI) TVEnricher (RBB configuration) Editor Tool LinkedTV Player
  • 38. 20.10.14 Slide 38 of 50 Entity Proxy Fill information cards for entities giving values for their most relevant properties.
  • 39. 20.10.14 Slide 39 of 50 TVNewsEnricher Returns news media sources related to given entity sets, powered by Google CSE
  • 40. IRAPI: Web media crawler Extract descriptions of media on websites so that related media can be found Video Title Description Entities, e.g. http://dbpedia.org/ resource/Edward_ Snowden 20.10.14 Slide 40 of 50
  • 41. 20.10.14 Slide 41 of 50 VideoLyzard
  • 42. Climate Change Portal 20.10.14 Slide 42 of 50 42
  • 43. http://link.weblyzard.com/video-showcase Video fragments in search results Video 20.10.14 Slide 43 of 50 VideoLyzard 43 fragment playback
  • 44. 20.10.14 Slide 44 of 50 VideoLyzard
  • 45. 20.10.14 Slide 45 of 50 VideoLyzard More Negative More Positive
  • 46. 20.10.14 Slide 46 of 50 HyperTED Content courtesy EURECOM (José Luis Redondo García, Raphael Troncy, Mariella Sabatino & Pasquale Lisena)
  • 47. 20.10.14 Slide 47 of 50 198 4 .com 200 6 CHAPTERS 201 4 HOT SPOTS ENTITIES RELATED TED’S CHAPTERS THE MYSTERIOUS FIELD OF ENGINEERING SYSTEMS UNDERSTANDI NG ENVIRONMEN T: A SYSTEM APPROACH SYSTEMS PRACTICE: MANAGING SUSTAINABIL ITY COURSES
  • 48. Hotspots Cluster video chapters which share similar topics 20.10.14 Slide 48 of 50
  • 49. 20.10.14 Slide 49 of 50 Architecture 49
  • 51. MediaMixer community portal Introduction to all technologies at community.mediamixer.eu/technology Updated with latest materials on all Media Mixer topics: Technology use cases Demonstrators Tutorials Presentations Software Specifications http://community.mediamixer.eu 20.10.14 Slide 51 of 50
  • 53. MediaMixer use case: VideoLecturesMashup 20.10.14 Slide 53 of 50
  • 54. Video fragment creation Fragments were created based on the slide synchronisation timeline. Transcripts (auto-generated by speech-to-text technology where necessary) were parsed and … there are three split across fragments. Kingdoms of Life, Bacteria, Archaea and Eukaryota... 20.10.14 Slide 54 of 50
  • 55. Video fragment annotation Fragments were then annotated by extracting topics from their textual metadata (slide OCR or speaker transcription). Topics are connected to a global knowledge model (DBPedia). 20.10.14 Slide 55 of 50 Video Fragment (4:41-5:12) Archaea
  • 56. 20.10.14 Slide 56 of 50 Video fragment management Annotations are managed in a separate metadata store. The store provides a semantic query endpoint returning lists of video fragments matching a query topic (including semantically related topics) Acidiplasma „type“ relation Archaea Video Fragment (4:41-5:12)
  • 57. Video fragment playback The front end uses HTML5 or Flash. Both codebases are extended to support video fragment playout. Individual playback can be modified to linear or non-linear channels (for e.g. a TV or mobile video experience) 20.10.14 Slide 57 of 50
  • 58. VideoLecturesMashup - demo 20.10.14 Slide 58 of 50 http://mediamixer.videolectures.net
  • 63. 20.10.14 Slide 63 of 50 Reference
  • 64. SPARQL RDF query language RDF data is a „labeled, directed graph“ without any fixed vocabulary (this is defined in RDF Schema). A query language for RDF needs to support this data model: •Tranversing paths in a RDF graph •Being independent of any defined vocabulary •Able to query over the data or the schema SPARQL („sparkle“) is a W3C standard supported in most RDF tools •SELECT... WHERE.... constructions like in SQL •Path expressions •Additional keywords for more query expressiveness 20.10.14 Slide 64 of 50
  • 65. Examples: triple patterns The basic idea in SPARQL is to match graph patterns against RDF graphs.To understand graph patterns we must first define triple patterns: • A triple pattern is similar to a triple (in RDF) but with one or more variables in the place of a RDF resource (URI or literal) Triple: dbpedia:Lou_Reed foaf:givenName „Lewis Allen Reed“ . Triple pattern: dbpedia:Lou_Reed foaf:givenName ?name . ?name is the variable. If a RDF graph with the above triple is queried with the below triple pattern, then in the SPARQL results the variable ?name would be ‚bound‘ to the value „Lewis Allen Reed“. • A SPARQL query result is a set of bindings for the variables appearing in the SELECT clause, based on matching RDF resources to variables in triple patterns in the WHERE clause. . 20.10.14 Slide 65 of 50
  • 66. Examples: conjunctive and disjunctive query In graph patterns, several triple patterns are listed within braces { ... } and these are interpreted conjunctively: Ex: { ?what tech:noOfWheels „4“ . ?what tech:minSpeed „180“ . } The variable ?what will only be bound to resources which BOTH have 4 wheels AND a minimum speed of 180. You can also join results from distinct graph patterns using the UNION keyword. Note that result sets from graph patterns and from UNIONs are different, since UNION works disjunctively: Ex: { ?what tech:noOfWheels „4“ . } UNION { ?what tech:minSpeed „180“ . } 20.10.14 Slide 66 of 50
  • 67. Examples: FILTER, ORDER BY SPARQL has many other keywords. FILTER restricts variable bindings returned in query results to those for which the filter expression evaluates to true. A filter applies to solutions over the entire graph pattern it is contained in. Ex: { ?what tech:noOfWheels „4“ . ?what tech:minSpeed ?speed . FILTER ( ?speed > 170 ) } The ORDER BY keyword determines the sequence of query results returned according to a sort on the referenced variable‘s bindings, ascending by default: Ex: { ?what tech:minSpeed ?speed . } 20.10.14 Slide 67 of 50 ORDER BY ?speed Or ORDER BY DESC(?speed)
  • 68. Query for media fragments: SPARQL-MM Research work in progress: extending SPARQL to Media Fragments by adding spatio-temporal filter and aggregration functions. Relation Function Aggregation Function Spatial mm:rightBeside mm:spatialIntersection mm:spatialOverlaps mm:spatialBoundingBo x … … Temporal mm:after mm:temporalIntersecti on mm:temoralOverlaps mm:temporalIntermedi ate … … Courtesy Thomas Kurz (Salzburg Research) & MICO EU project http://demos.mico-project.eu/sparql-mm/sparql-mm/demo/index.html Combined mm:overlaps mm:boundingBox mm:contains mm:intersection 20.10.14 Slide 68 of 50

Hinweis der Redaktion

  1. Part I: LinkedMedia, publishing online, retrieval (20 slides, 30 min) Part II: Examples of LinkedMedia retrieval: enrichment, browsing, linking (20 slides, 30 min)
  2. Part I: LinkedMedia, publishing online, retrieval (20 slides, 30 min) Part II: Examples of LinkedMedia retrieval: enrichment, browsing, linking (20 slides, 30 min)
  3. Growing amount of digital multimedia, metadata is very basic and limiting scalable retrieval and re-use of the media which is put online.
  4. Growing amount of digital multimedia, metadata is very basic and limiting scalable retrieval and re-use of the media which is put online.
  5. Compare with Linked Data Publishing rules. Compare with Apache Marmotta: is there a repository that truly supports „Linked Media Publishing“?
  6. NB: the actual media resource URI is media/UUID it seems Elda forces everything to go through a redirect on mediaresource/ so not sure if this is „true“ Linked Data
  7. http://data.linkedtv.eu/sparql
  8. PREFIX linkedtv: <http://data.linkedtv.eu/ontologies/core#> PREFIX ma: <http://www.w3.org/ns/ma-ont#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX oa: <http://www.w3.org/ns/oa#> SELECT ?mediaFragment FROM <http://data.linkedtv.eu/graph/linkedtv> WHERE { ?mediaFragment ma:isFragmentOf <http://data.linkedtv.eu/media/8a8187f2-3fc8-cb54-0140-7dd151100003>. ?mediaFragment a ma:MediaFragment . ?annotation a oa:Annotation . ?annotation oa:hasBody ?shot . ?annotation oa:hasTarget ?mediaFragment . ?shot a linkedtv:Shot . }
  9. PREFIX linkedtv: <http://data.linkedtv.eu/ontologies/core#> PREFIX oa: <http://www.w3.org/ns/oa#> PREFIX nsa: <http://multimedialab.elis.ugent.be/organon/ontologies/ninsuna#> PREFIX ma: <http://www.w3.org/ns/ma-ont#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX owl: <http://www.w3.org/2002/07/owl#> PREFIX nerd: <http://nerd.eurecom.fr/ontology#> SELECT ?Entity , ?label , ?source , ?disURL FROM <http://data.linkedtv.eu/graph/linkedtv> WHERE { ?MediaFragment ma:isFragmentOf <http://data.linkedtv.eu/media/b82fb032-d95e-11e2-951c-f8bdfd0abfbd> . ?MediaFragment a ma:MediaFragment . ?MediaFragment linkedtv:hasSubtitle ?subtitle . ?AnnotationEntity oa:hasTarget ?MediaFragment . ?AnnotationEntity oa:hasBody ?Entity . ?Entity a linkedtv:Entity . OPTIONAL { ?Entity rdfs:label ?label . } OPTIONAL { ?Entity dc:source ?source . } ?Entity owl:sameAs ?disURL . ?Entity a nerd:Person . }
  10. PREFIX linkedtv: <http://data.linkedtv.eu/ontologies/core#> PREFIX oa: <http://www.w3.org/ns/oa#> PREFIX nsa: <http://multimedialab.elis.ugent.be/organon/ontologies/ninsuna#> PREFIX ma: <http://www.w3.org/ns/ma-ont#> PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> PREFIX dc: <http://purl.org/dc/elements/1.1/> PREFIX owl: <http://www.w3.org/2002/07/owl#> SELECT ?Entity , ?label , ?source , ?disURL FROM <http://data.linkedtv.eu/graph/linkedtv> WHERE { ?MediaFragment ma:isFragmentOf <http://data.linkedtv.eu/media/b82fb032-d95e-11e2-951c-f8bdfd0abfbd> . ?MediaFragment a ma:MediaFragment . ?MediaFragment linkedtv:hasSubtitle ?subtitle . ?AnnotationEntity oa:hasTarget ?MediaFragment . ?AnnotationEntity oa:hasBody ?Entity . ?Entity a linkedtv:Entity . OPTIONAL { ?Entity rdfs:label ?label . } OPTIONAL { ?Entity dc:source ?source . } ?Entity owl:sameAs ?disURL . ?MediaFragment nsa:temporalStart ?start ; nsa:temporalEnd ?end . filter (?start > 60 ) . filter (?end < 120 ) }
  11. http://www.europeana.eu/api/v2/search.json?wskey=KtbDppuVD&query=what:zilver&qf=where:Friesland&qf=YEAR:[1690+TO+1742]&qf=COUNTRY:netherlands
  12. http://linkedtv.project.cwi.nl/explore/entity_proxy?url=http://dbpedia.org/resource/Edward_Snowden
  13. http://linkedtv.eurecom.fr/newsenricher/api/othermedia?query=snowden+russian+asylum&startdate=20130703&enddate=20130716&cse=014567755836058125714:c1kdam3wyey&limit=50
  14. http://ir.lmcloud.vse.cz/irapi/media-server/?q=%22Edward+Snowden%22&media_type=video&row=10&thd=yes&domain_source=RBB
  15. Running example: „geoengineering“, 1 YouTube video in the Sept/Oct 2013 search period.
  16. Currently only has videos annotated from 1 Sep to 30 Oct 2013 I still have to use http://ccc.modul.ac.at/dev/youtube/search.php to show geoengineering with 6 matches incl 3 videos without the term in their title. Working example is „hydropower“ which digs up a transcript out of ONE video In the DBpedia search, „hydroelectricity“ (no matches on the portal) gets 22 fragments (all mapped to DBPedia:Hydropower)
  17. SPARQL, the query language for RDF SQL vs SPARQL Guide by example. Triple patterns Guide by example. JOINs and UNIONs Guide by example. FILTERs and ORDERs SPARQL in Sesame: testing with saved queries SPARQL-MM: a SPARQL for Media Fragments (demos)
  18. SPARQL, the query language for RDF SQL vs SPARQL Guide by example. Triple patterns Guide by example. JOINs and UNIONs Guide by example. FILTERs and ORDERs SPARQL in Sesame: testing with saved queries SPARQL-MM: a SPARQL for Media Fragments (demos)
  19. SPARQL, the query language for RDF SQL vs SPARQL Guide by example. Triple patterns Guide by example. JOINs and UNIONs Guide by example. FILTERs and ORDERs SPARQL in Sesame: testing with saved queries SPARQL-MM: a SPARQL for Media Fragments (demos)
  20. SPARQL, the query language for RDF SQL vs SPARQL Guide by example. Triple patterns Guide by example. JOINs and UNIONs Guide by example. FILTERs and ORDERs SPARQL in Sesame: testing with saved queries SPARQL-MM: a SPARQL for Media Fragments (demos)
  21. http://demos.mico-project.eu/sparql-mm/sparql-mm/demo/index.html