Download as PDF, PPTX
![Scale
• MusicBrainz RDF derived via R2RML:
300M
Triples
lb:artist_member a rr:TriplesMap ;
rr:logicalTable [rr:sqlQuery
"""SELECT a1.gid, a2.gid AS band
FROM artist a1
INNER JOIN l_artist_artist ON a1.id =
l_artist_artist.entity0
INNER JOIN link ON l_artist_artist.link = link.id
INNER JOIN link_type ON link_type = link_type.id
INNER JOIN artist a2 on l_artist_artist.entity1 = a2.id
WHERE link_type.gid='5be4c609-9afa-4ea0-910b-12ffb71e3821'"""]
;
rr:subjectMap [rr:template "http://musicbrainz.org/artist/{gid}#_"]
;
rr:predicateObjectMap
[rr:predicate mo:member_of ;
72
rr:objectMap [rr:template
"http://musicbrainz.org/artist/{band}#_" ;
rr:termType rr:IRI]] .](https://image.slidesharecdn.com/dhusp2013-131025052352-phpapp02/75/Dh-usp-2013-72-2048.jpg)
Uploaded byDov Winer
Dh usp 2013
The document discusses using semantic annotations and linked data in digital humanities projects. It provides examples of projects that use semantic annotations to visualize networks in historical texts and link cultural heritage data. It also describes how linked data can transform traditional scholarly workflows by linking open datasets on the web and using the web as a global database. The document outlines challenges and opportunities in applying semantic web technologies to humanities research.
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Dh usp 2013
- 1. Digital Humanities ina Linked Data world: Semantic Annotations Dov Winer NLI / EAJC (DM2E/Judaica Europeana) http://www.makash.org.il/docs/dh_usp_2013.pdf
- 2. Outline Digital Humanities:ScholarlyPrimitives Exemplos Transformação do ciclo de trabalho escolástico Projetos de ponta e o universo da Europeana Dados linkados: o Web como banco de dados global
- 5.
- 6. Scholarly Primitives Scholarly Primitives:what methods do humanities researchers have in common, and how might our tools reflect this? John Unsworth Humanities Computing: formal methods, experimental practice King’s College, London, May 13, 2000 Discovering Annotating Comparing Referring Sampling Illustrating Representing
- 7. Unsworth primitive Bamboo themeof scholarly OCLC Scholarly Information Activity practice Discovery Gathering / Foraging Sampling Synthesizing / Filtering Comparing Referring Contextualizing Illustrating Representing Comparing Conceptualizing, Refining and Critiquing Representing Documenting methods Discovering Referring Representing Managing data Annotating Annotating / documenting Modelling / visualizing Illustrating Representing Representing Suggested parenthetically Common thread Overlapping teaching and research Sharing / dissemination / publishing Funding Collaborating Referring Citation, credit, peer-review Representing Searching (direct searching, chaining, browsing, probing, accessing) Collecting (gathering, organizing) Searching (chaining, browsing, probing) Collecting (organizing) Cross-cutting (monitoring) Reading (scanning, assessing, rereading) Cross-cutting (note taking, translating) Writing (assembling) Collaborating (consulting) Writing (disseminating) Cross-cutting (translating) Searching (accessing) Collecting (organizing) Collaborating (coordinating, consulting) Writing (assembling) Cross-cutting (note taking) Cross-cutting (translating) Writing (assembling) Collaborating (coordinating) Cross-cutting (translating) Writing (disseminating) No analogue Writing (co-authoring) Collaborating (coordinating, networking, consulting) Reading (assessing) Writing (dissemination) Collaborating (consulting) OCLC: Scholarly Information Practices in the Online Environment http://www.oclc.org/content/dam/research/publications/library/2009/2009-02.pdf?urlm=162919 Project Bamboo Scholarly Practice Report https://wikihub.berkeley.edu/display/pbamboo/Project+Bamboo+Scholarly+Practice+Report
- 9. Scholarly Primitives Scholarly primitives:Building institutional infrastructure for humanities e-Science Tobias Blanke, Mark Hedges King’s College London, Centre for e-Research Future Generation Computer Systems 29 (2013) 654-661 Scholarly Information Practices in the Online Environment Carole L. Palmer, Lauren C. Teffeau, Carrie M. Pirmannn 2009 OCLC Online Computer Library Center, Inc. OCLC Online Computer Library Center 2009 http://www.oclc.org/content/dam/research/publications/library/2009/2009-02.pdf?urlm=162919
- 10.
- 11. Republic of Lettersnetwork visualisation / Oxford and Stanford
- 12. Republic of Lettersnetworks
- 15. American Civil WarFreebase Documentation
- 16. Freebase: an openlinked data database service http://www.freebase.com
- 18. Ontology based annotationfor Philosophy texts Michele Pasin – Enrico Motta Ontological requirements for annotation and navigation of philosophical resources Synthese (2011) 182:235-267
- 19. A formal modelfor describing Philosophical ideas CIDOC-CRM event centered A formal model for describing philosophical ideas: Argument-entity. Problem-area. Problem. Method. View: Thesis, Theory, Philosophical-system, School of thought. Rhetorical figure. Concept. Distinction .
- 20.
- 21.
- 22. Shai Ophir (2010).A New Type of Historical Knowledge. Information Society,, 26: 144-150, 2010,
- 23. Transformação do ciclode trabalho escolástico
- 24. Ciclo de trabalhoescolástico From S.Gradmann and J.C. Meister, Digital document and interpretation: re-thinking “text” and scholarship in electronic settings . Poiesis & Praxis, V5 N2 (2008)
- 25. Ciclo de trabalhoescolástico From S.Gradmann and J.C. Meister, Digital document and interpretation: re-thinking “text” and scholarship in electronic settings . Poiesis & Praxis, V5 N2 (2008)
- 26. Ciclo de trabalhoescolástico From S.Gradmann and J.C. Meister, Digital document and interpretation: re-thinking “text” and scholarship in electronic settings . Poiesis & Praxis, V5 N2 (2008)
- 27. Processing source datain the Humanities: aggregation From Gradmann (2008) http://www.slideshare.net/gradmans/europeana-semantica
- 28. … modeling … FromGradmann (2008) http://www.slideshare.net/gradmans/europeana-semantica
- 29. … and digitalheuristics? From Gradmann (2008) http://www.slideshare.net/gradmans/europeana-semantica
- 31.
- 36. Scholarly services Document Mapping; Concordance; Collocation/Cloud;Frequency; Morphological Analysis; Syntactic Analysis; Named Entity Identification; Proxied SEASR Analytics
- 37.
- 38. Prof. Stefan Gradmann Prof.Christian Bizer
- 40. LOD Dados linkados –o Web como banco de dados global
- 41. Dados Linkados Datasetson the Web Over 31.7 billion RDF triples (10/2011) Over 40 billion on February 2012 http://www.linkeddata.org http://esw.w3.org/DataSetRDFDump http://esw.w3.org/TaskForces/CommunityProje cts/LinkingOpenData/DataSets/Statistics VI Encontro do CEDAP Preservação do Patrimônio e Linking Open Data cloud diagram, by 17.10.2012 41 Richard Cyganiak and Anja Jentzsch. http://lod-cloud.net/
- 42. Linked Data: structured data onthe Web David Woood Marsha Zeidman Luke Ruth with Michael Hausenblas Manning Publications MEAP 2013
- 43. The next followingslides were taken from : Linked Data and the Semantic Web in an Archival Context Mark A. Matienzo (2012) http://matienzo.org http://www.slideshare.net/anarchivist/linked-data-and-thesemantic-web-in-the-archival-context Usage of Linked Data Introduction and Application Scenarios Barry Norton (2013) EUCLID Education Curriculum for the usage of Linked Data http://euclid-project.eu/
- 62. The essence ofRDF: the “triple” subject property value Source: “The thirty minute guide to RDF and Linked Data”, by Ian Davis and Tom Heath VI Encontro do CEDAP Preservação do Patrimônio e
- 63. Ross Singer The LinkedLibrary Data Cloud LOD4LIB 2010
- 65. Source: “The thirtyminute guide to RDF and Linked Data”, by Ian Davis and Tom Heath
- 66.
- 67. Direct Mapping onTable Person ID (pk) NAME AGE 1 Alice 25 2 Bob NULL RDB2RDF 67
- 68. Direct Mapping onTable Person ID (pk) NAME AGE 1 Alice 25 2 Bob NULL RDB2RDF 68
- 69. Direct Mapping onTable Person ID (pk) NAME AGE 1 Alice 25 2 Bob NULL <http://www.ex.com/Person/ID=1> <http://www.ex.com/Person#NAME> "Alice" . RDB2RDF 69
- 70. Extract – Transform– Load (ETL) RDB SPARQL Dump RDF RDB2RDF 70
- 71. Music Ontology • MusicArtist –ArtistEvent, member_of • SignalGroup ‘Album’ as per Release_Group • Release – ReleaseEvent • • • • Record Track Work Composition http://musicontology.com/ RDB2RDF 71
- 72. Scale • MusicBrainz RDFderived via R2RML: 300M Triples lb:artist_member a rr:TriplesMap ; rr:logicalTable [rr:sqlQuery """SELECT a1.gid, a2.gid AS band FROM artist a1 INNER JOIN l_artist_artist ON a1.id = l_artist_artist.entity0 INNER JOIN link ON l_artist_artist.link = link.id INNER JOIN link_type ON link_type = link_type.id INNER JOIN artist a2 on l_artist_artist.entity1 = a2.id WHERE link_type.gid='5be4c609-9afa-4ea0-910b-12ffb71e3821'"""] ; rr:subjectMap [rr:template "http://musicbrainz.org/artist/{gid}#_"] ; rr:predicateObjectMap [rr:predicate mo:member_of ; 72 rr:objectMap [rr:template "http://musicbrainz.org/artist/{band}#_" ; rr:termType rr:IRI]] .
- 73.
- 74.
- 75.
- 76.
- 77.
- 78. Thank you foryour attention! Dov Winer dov.winer @ gmail.com http://www.makash.org.il/docs/dh_usp_2013.pdf