Your SlideShare is downloading. ×
Keynote csws2013
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Keynote csws2013


Published on

Keynote presentation for CSWS 2013 Conference in Shanghai, China. …

Keynote presentation for CSWS 2013 Conference in Shanghai, China.
Some slides borrowed from Jan Wielemaker, Guus Schreiber, Jacco van Ossenbruggen, Niels Ockeloen, Antske Fokkens, Serge ter Braake.

Published in: Education
1 Like
  • Be the first to comment

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

No notes for slide


  • 1. Linked Data for Digital Heritage and History Victor de Boer VU University Amsterdam Keynote CSWS 2013 Shanghai
  • 2. About me Victor de Boer Assistant professor at VU University Amsterdam Domain-driven Semantic Technologies, Linked Data Cultural Heritage Digital History Linked Data for Development
  • 3. Linked Data is ``a term used to describe a recommended best practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web using URIs and RDF.’’ --Wikipedia
  • 4. The evolution of Science Antonie van Leeuwenhoek’s microscope (17th C.) Large Hadron Collider in Switzerland (21th C.)
  • 5. Why Linked Data for E-science Large amounts of data Efficient analysis, data mining Sharing data, information and knowledge between scientists Across continents Across disciplines
  • 6. OpenPhacts explorer
  • 7. But what about the humanities?
  • 8. Cultural Heritage
  • 9. MultimediaN E-Culture project • Museums have increasingly nice websites • But: most of them are driven by stand-alone collection databases • Data is isolated, both syntactically and semantically • If users can do cross-collection search, the individual collections become more valuable! • Semantic Search
  • 10.
  • 11. Search for objects which are linked via concepts (semantic link) China Kanton PartOf Query “China” Use the type of semantic link to provide meaningful presentation of the search results Rijksmuseum: View of Canton, with two Dutch ships Semantic Search
  • 12. Vocabulary alignment • In large virtual collections there are always multiple vocabularies with its own perspective – In multiple languages – You can’t just merge them • But you can use vocabularies jointly by defining a limited set of links • It is surprising what you can do with just a few links
  • 13. Vocabulary alignment “Easel-pieces” RMA concept “Schilderij” RMA is the thesaurus of Rijksmuseum AAT artefact type “Easel Piece” “Painting” AAT is Getty’s Art & Architecture Thesaurus
  • 14.
  • 15. Amsterdam Museum as Linked Open Data
  • 16. 17
  • 17. Amsterdam Museum • Formerly Amsterdam Historic Museum – “The rich collection of works of art, objects and archaeological finds brings to life the fortunes of Amsterdammers of days gone by and today.” • In March 2010 published their whole collection online – 70.000 objects – CC license
  • 18. Requirements for conversion and linking • Transparent conversion and linking of the data – Use of provenance and reproducibility • keep original complexities of the data • while making it interoperable with other (Europeana) data • Retain the relation to original data 19
  • 19. Methods ClioPatria XMLRDF 1. XML ingestion (OAI) 2. Direct transformation to ‘crude’ RDF 3. Interactive RDF restructuring 4. Create a metadata mapping schema 5. Align vocabularies with external sources 6. Publish as Linked Data Amalgame Tools
  • 20. ClioPatria is powered by
  • 21. XMLRDF rewriting rules examples
  • 22. Mapping to popular vocabularies am:obj_22093 “Job Cohen” am:contentPersonName rdfs:subPropertyOf dcterms:subject
  • 23. Amalgame alignment platform • Semi-automatic linking – Simple automatic techniques, – chained together by hand • Transparent and interactive
  • 24. Amsterdam Museum als Linked Open Data
  • 25. E-history (digital history)
  • 26. BiographyNet
  • 27. (Narrative) historical methodology • Historical facts derived mainly from archival findings and existing literature • Historians put them together into a narrative/synthesis. – The Narrative: a historical synthesis which can not be scientifically proven (only made likely) based on facts which can be proven or falsified. There is necessarily a creative element in drawing up a narrative Slides by BiographyNet team
  • 28. Where do eScience and Biographical History meet? • Quantitative analyses of a larger group of people (prosopography). Surpassing the anecdotal. • Finding relations/networks between people which are otherwise hard to detect
  • 29. Johan Rudolph Thorbecke werd in 1798 geboren op 14 januari in Zwolle en komt uit een half-Duit Johan Rudolph Thorbecke werd in 1798 geboren op 14 januari in Zwolle en komt uit een half-Duit Linked Data for BiograpyNet Thorbecke Biographical Description Provenance Meta Data NNBW Person Meta Data “Thorbecke” Biography Parts Birth 1798 Event Biographical Description Enrichment NLP Tool Person Meta Data Event Birth Johan Rudolph Thorbecke werd in 1798 geboren op 14 januari in Zwolle en komt uit een half-Duit Zwolle 1798-01-14
  • 30. Prototype under development The information provided by the first system can be used to: 1. Identify alternative descriptions of events (same time, location and/or participants) 2. Identify relations between events (same locations & time, consequent events, same participants, etc.) 3. Initial networks of people
  • 31. Verrijkt Koninkrijk
  • 32. History of German occupied Dutch society (1940-1945) Published between 1969 and 1991 in 14 volumes, 30 parts, 18.000 pages 1. Digitization, 2. Open Data, 3. Enriched access with Linked Open Data Het Koninkrijk der Nederlanden in de Tweede Wereldoorlog (The Kingdom of the Netherlands During World War II )
  • 33. country, collection, doc-type, volume, chapter, section, sub-section, paragraph
  • 34. Back of the Book Vocabulary + Named Entity Vocabulary SKOS vocabularies as stepping stones
  • 35.
  • 36. niod:Blitzkrieg niod:parRef niod:oai_wo2_niod_nl_rec_102045 dct:subject botb:Blitzkrieg skos:exactMatch
  • 37. skos:exactMatch skos:exactMatch
  • 38. botb:sjanghai dbpedianl:sjanghai dbpedia:sjanghai owl:sameAs Шанхай Thượng Hải 上海市 Xangai Šanghaj Shanghai Shanghai rdfs:label dbpedia: Shanghai_Jiao_Tong_University dbp:is_city_of
  • 39. SELECT * WHERE { ?s skos:prefLabel ?pl. ?s skos:closeMatch ?geo. ?geo gn:parentADM1 ?prov. ?prov gn:name ?provname. ?s niod:pageRef ?pref. } 0 2000 4000 6000 8000 10000 12000 NE index BotB index Geographical analysis using background knowledge from GeoNames
  • 40. Results are links to paragraphs
  • 41. SPARQL for R National- Socialist 29% Social- Democrat 21% Protestant 13% Liberal 12% R-Catholic 12% Communist 8% Jewish 5% Pillar1 Pillar2 Co Liber. Protestant 0.29 Protestant R-Cath. 0.22 Liber. R-Cath. 0.21 Comm Soc-dem 0.20 Liber. Soc-dem 0.15
  • 42. Dutch Ships and Sailors
  • 43. gz:Mercuur 1782 gz:Buijksloot gz:Batavia gz:Claas Roem voc:Claas Roem voc:Buijksloot 1752das:Mercuur das:Departure das:Roem, Klaas 19-12-1780 das:Texel das:Arrival 20-7-1781 das:Batavia das:Voyage1 Web of Data
  • 44. DataLab
  • 45. Lessons Learned
  • 46. Be humble, transparent and interactive in your data conversion and linking Lessons Learned
  • 47. Lessons Learned Retain complexities of the data and establish layers of interoperability
  • 48. Lessons Learned A Little Semantics goes a Long Way…and so does a small amount of links
  • 49. Lessons Learned Make sure your solutions and tools fit the methodology of the field
  • 50. Lessons Learned Show added benefit for scientific research and (unexpected) re-use
  • 51. Lessons Learned Linked Data is a good fit for Humanities research
  • 52. Thank you! Victor de Boer
  • 53. Image credits • Wikipedia lemmas • Flickr images (cc-licensed) – RMTip21 – Argonne National Laboratory – thegarethwiscombe • “Linking Open Data cloud diagram, by Richard Cyganiak and Anja Jentzsch.” • • Gezicht op Canton, Vingboons-atlas, Bussum 1981, p. 35 VOC Kenniscentrum Links • • • •