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Bringing parliamentary debates to the Semantic Web

Laura Hollink
Laura Hollink

Presentation of the paper 'Bringing parliamentary debates to the Semantic Web' by Damir Juric, Laura Hollink and Geert-Jan Houben at the workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE2012) in conjunction with the 11th International Semantic Web Conference 2012 in Boston, USA. See also the homepage of the PoliMedia project: http://polimedia.nl/

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Bringing parliamentary debates to the Semantic Web Damir Juric1,3, Laura Hollink2, Geert-Jan Houben1 1 Delft University of Technology, 2 VU University Amsterdam, 3 FER University of Zagreb DERIVE 2012 Boston, 12.11.2012.
Motivation Cross-media comparison: What choices do different media make in the coverage of people and topics while reporting on political events? Does the representation of topicsand people change over time and how do the various media types differ?
Motivation Political events Media Cross-media comparison: What choices do different media make in the coverage of people and topics while reporting on political events? Does the representation of topicsand people change over time and how do the various media types differ?
Background: the PoliMedia project Funded by CLARIN-NL May 2012 - May 2013 3 phases : I. modeling phase: creating a semantic model (this presentation) II. data production phase: creating links between political events and media III.application phase: searching and navigating linked datasets www.polimedia.nl
Research questions How to represent political events on the Semantic Web? How to represent links between media and political events on the Semantic Web?
Research questions How to represent political events on the Semantic Web? How to represent links between media and political events on the Semantic Web?
Political events data set Events: Dutch parliamentary debates Handelingen der Staten-General or Dutch Hansard Some provenance: 1. Transcripts are made of the complete debates of the Dutch parliament. 2. Published online by the government on http://www.statengeneraaldigitaal.nl/ (1818 1995) and http:// of鍖cielebekendmakingen.nl/ (from 1995) 3. PoliticalMashup project has translated government pdf and txt 鍖les into XML, incl URIs as identi鍖ers, see http:// politicalmashup.nl/ 4. We build on that.
Media data sets newspaper articles and radio bulletins at the National Library of the Netherlands Many, mostly regional news papers 1950- 1995 Text + images of newspaper layout newscasts at the Netherlands institute for Sound and Vision evening news and current affairs programs metadata in Dublin Core and CDMI format enriched with thesaurus terms from the Gemeenschappelijke Thesaurus Audiovisuele Archieven (GTAA)
Semantic model: what do we need to represent? 1/2 Important information for every parliamentary debate is: Debate When the debate was held Metadata What is being said in the debate (topics) Topic 1 Who is giving the speeches in the debate and in which role (persons) Speaker 1 / Content Additional information about actors involved in the event (names of the politicians, their party, age, etc.) Speaker 2 / Content Structure: Subparts of the debate have their own identi鍖ers (part of the debate where only one speaker can be identi鍖ed as actor) Speaker 3 / Content chronological order (the order in which the subparts where occurring inside the parliament debate, Named entities apart from politicians (persons, Topic 2 locations, etc.) Speaker 1 / Content
Semantic model: what do we need to represent? 2/2 Various information about media items linked to the debate Links between subparts of the debate and news articles, radio bulletins and television newscasts
URIs PoliMedia vocabulary: http://purl.org/linkedpolitics/nl/polivoc#Speech Politicians, parties: http://purl.org/linkedpolitics/nl/poli#Beel debates and part of debates: http://purl.org/linkedpolitics/nl/nl.proc.sgd.d. 198219830000846.2.11.12 Media articles, bulletins and news casts: http://resolver.kb.nl/resolve?urn=ddd: 010069811:mpeg21:pdf
Semantic model
Semantic model
Semantic model
Semantic model
Semantic model
Semantic model W.R. van Hage, V. Malais辿, R. Segers, L. Hollink and A.Th. Schreiber. Design and use of the Simple Event Model (SEM)
Semantic model W.R. van Hage, V. Malais辿, R. Segers, L. Hollink and A.Th. Schreiber. Design and use of the Simple Event Model (SEM)
Current work: 鍖nding links Queries: speaker name + named entities + topics (created using topic modeling methods) extracted from political events dataset used for retrieval of media articles TopicList = NamedEntitiesVector TopicWordSetVector NamedEntitiesVector TopicWordSetVector Speech Speech PartOfDebate PartOfDebate + Speaker X = ActorFromSpeech TimeFrame
Finally SPARQL endpoint with the PoliMedia vocabulary + RDF of Dutch Hansard data will be available soon. Feel free to use it! Links to media + search/browse app are expected early next year.
Thank you for your attention! Henri Beunders (EUR) Damir Juric (TU Delft) Jaap Blom (NISV) Max Kemman (EUR) Laura Hollink (VU) Martijn Kleppe (EUR) Geert-Jan Houben (TU Delft) Johan Oomen (NISV)

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Bringing parliamentary debates to the Semantic Web

  • 1. Bringing parliamentary debates to the Semantic Web Damir Juric1,3, Laura Hollink2, Geert-Jan Houben1 1 Delft University of Technology, 2 VU University Amsterdam, 3 FER University of Zagreb DERIVE 2012 Boston, 12.11.2012.
  • 2. Motivation Cross-media comparison: What choices do different media make in the coverage of people and topics while reporting on political events? Does the representation of topicsand people change over time and how do the various media types differ?
  • 3. Motivation Political events Media Cross-media comparison: What choices do different media make in the coverage of people and topics while reporting on political events? Does the representation of topicsand people change over time and how do the various media types differ?
  • 4. Background: the PoliMedia project Funded by CLARIN-NL May 2012 - May 2013 3 phases : I. modeling phase: creating a semantic model (this presentation) II. data production phase: creating links between political events and media III.application phase: searching and navigating linked datasets www.polimedia.nl
  • 5. Research questions How to represent political events on the Semantic Web? How to represent links between media and political events on the Semantic Web?
  • 6. Research questions How to represent political events on the Semantic Web? How to represent links between media and political events on the Semantic Web?
  • 7. Political events data set Events: Dutch parliamentary debates Handelingen der Staten-General or Dutch Hansard Some provenance: 1. Transcripts are made of the complete debates of the Dutch parliament. 2. Published online by the government on http://www.statengeneraaldigitaal.nl/ (1818 1995) and http:// of鍖cielebekendmakingen.nl/ (from 1995) 3. PoliticalMashup project has translated government pdf and txt 鍖les into XML, incl URIs as identi鍖ers, see http:// politicalmashup.nl/ 4. We build on that.
  • 8. Media data sets newspaper articles and radio bulletins at the National Library of the Netherlands Many, mostly regional news papers 1950- 1995 Text + images of newspaper layout newscasts at the Netherlands institute for Sound and Vision evening news and current affairs programs metadata in Dublin Core and CDMI format enriched with thesaurus terms from the Gemeenschappelijke Thesaurus Audiovisuele Archieven (GTAA)
  • 9. Semantic model: what do we need to represent? 1/2 Important information for every parliamentary debate is: Debate When the debate was held Metadata What is being said in the debate (topics) Topic 1 Who is giving the speeches in the debate and in which role (persons) Speaker 1 / Content Additional information about actors involved in the event (names of the politicians, their party, age, etc.) Speaker 2 / Content Structure: Subparts of the debate have their own identi鍖ers (part of the debate where only one speaker can be identi鍖ed as actor) Speaker 3 / Content chronological order (the order in which the subparts where occurring inside the parliament debate, Named entities apart from politicians (persons, Topic 2 locations, etc.) Speaker 1 / Content
  • 10. Semantic model: what do we need to represent? 2/2 Various information about media items linked to the debate Links between subparts of the debate and news articles, radio bulletins and television newscasts
  • 11. URIs PoliMedia vocabulary: http://purl.org/linkedpolitics/nl/polivoc#Speech Politicians, parties: http://purl.org/linkedpolitics/nl/poli#Beel debates and part of debates: http://purl.org/linkedpolitics/nl/nl.proc.sgd.d. 198219830000846.2.11.12 Media articles, bulletins and news casts: http://resolver.kb.nl/resolve?urn=ddd: 010069811:mpeg21:pdf
  • 17. Semantic model W.R. van Hage, V. Malais辿, R. Segers, L. Hollink and A.Th. Schreiber. Design and use of the Simple Event Model (SEM)
  • 18. Semantic model W.R. van Hage, V. Malais辿, R. Segers, L. Hollink and A.Th. Schreiber. Design and use of the Simple Event Model (SEM)
  • 19. Current work: 鍖nding links Queries: speaker name + named entities + topics (created using topic modeling methods) extracted from political events dataset used for retrieval of media articles TopicList = NamedEntitiesVector TopicWordSetVector NamedEntitiesVector TopicWordSetVector Speech Speech PartOfDebate PartOfDebate + Speaker X = ActorFromSpeech TimeFrame
  • 20. Finally SPARQL endpoint with the PoliMedia vocabulary + RDF of Dutch Hansard data will be available soon. Feel free to use it! Links to media + search/browse app are expected early next year.
  • 21. Thank you for your attention! Henri Beunders (EUR) Damir Juric (TU Delft) Jaap Blom (NISV) Max Kemman (EUR) Laura Hollink (VU) Martijn Kleppe (EUR) Geert-Jan Houben (TU Delft) Johan Oomen (NISV)