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Boost your search with semantic technology
 

Boost your search with semantic technology

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MediaLoep combines documents readily available within the broadcasting company (subtitles, news preparation, ...) with semantic web technology to create a powerfull media search application.

MediaLoep combines documents readily available within the broadcasting company (subtitles, news preparation, ...) with semantic web technology to create a powerfull media search application.
Presented at EBU Production Technology Seminar 2011

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    Boost your search with semantic technology Boost your search with semantic technology Presentation Transcript

    • EBU Production Technology Seminar 2011 Karel Braeckman Vrt-medialab Vrt-Medialab 1
    •  VRT is the Flemish Public Broadcaster 3 TV-channels, 5 radio channels VRT-medialab is the research department creation, distribution and management of media content Vrt-Medialab 2
    •  Lots of audio and video material illustrating our cultural heritage. Also includes new material (news clips, …) Used by programme-researchers & journalists VRT-medialab 3
    •  The problem of media search MediaLoep project  Re-using production metadata  Linking to the semantic web Vrt-Medialab 4
    •  The problem of media search MediaLoep project  Re-using production metadata  Linking to the semantic web Vrt-Medialab 5
    •  Not self-descriptive → we need metadata Series: Flikken Keywords: violence, robbery Description: Robbery on shop. Attacker hits shop owner with gun. Video / Audio are continuous media with a time-dimension VRT-medialab 6
    •  Not self-descriptive Video / Audio are continuous media with a time-dimension → we prefer time-coded metadata 00’00”>01’43” 01’43”>04’20” 35’00”>36’33” Robbery on shop Police agent Observation by looks worried police VRT-medialab 7
    • 35’00”>36’33” Observation by policeVRT-medialab 8
    • Basis Vrt-Medialab 9
    • Ardome Vrt-Medialab 10
    • Not enough detailed annotations available ◦ “X spits on the ground after Y makes a goal” ◦ The entire dialogue so we can search for quotes ◦ Labels, locations, links, maps, photographs, …as the creation of these annotations is verytime consuming. Vrt-Medialab 11
    •  The problem of media search MediaLoep project  Re-using production metadata  Linking to the semantic web Vrt-Medialab 12
    • Vrt-Medialab 13
    •  The problem of media search MediaLoep project  Re-using production metadata  Linking to the semantic web Vrt-Medialab 14
    •  News Rundown with auto-cue texts, overlay labels, … EPG data contains a summary of the programme, the broadcast dates, … A drama script contains dialogues and actions, … Subtitles ~ transcript of spoken text Vrt-Medialab 15
    • Information added by an archivist keywords textual description other fields Vrt-Medialab 16
    • Information added by the news preparation: overlay captions autocue text links to other items in this news broadcast Vrt-Medialab 17
    • Information added by the subtitles: time-coded transcript of the dialogue Vrt-Medialab 18
    • Vrt-Medialab 19
    •  The problem of media search MediaLoep project  Re-using production metadata  Linking to the semantic web Vrt-Medialab 20
    • Archivists add thesaurus keywords to clips Geneva Obama, Barack Europe …By linking these keywords to a thesaurus, we can make the search system smarter Geneva → coordinates on a map? Obama, Barack → a picture? … Vrt-Medialab 21
    • Public knowledge bases provide informationabout resources using ‘triples’. Geneva country Switzerland area 15.86 km2 Vrt-Medialab 22
    • Links to the same resource in other knowledge bases can be created. Geneva country SwitzerlandsameAs area 15.86 km2 Geneva latitude 46° 12 0" N GeoNames Vrt-Medialab 23
    • A network of linked knowledge is created. Vrt-Medialab 24
    • We linked MediaLoep to DBpedia, which is inturn linked to many other knowledge bases. MediaLoep Vrt-Medialab 25
    • AALMOEZENIER AALST AALTERDE WEVER, BART GENEVA …VRT-Thesaurus DBpedia / Wikipedia MediaLoep Vrt-Medialab 26
    • Information added by the semantic web: Vrt-Medialab 27
    • Vrt-Medialab 28
    • Improved search by combining existing information.Enhanced results visualization and semantic query suggestions by coupling to the semantic web. Vrt-Medialab 29