Linked Medieval Data: Semantic Enrichment and Contextualisation to Enhance Understanding and Collaboration

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1 : Semantic Enrichment and Contextualisation to Enhance Understanding and Collaboration Prof. Dr. Stefan Gradmann Humboldt-Universität zu Berlin / School of Library and Information Science stefan.gradmann@ibi.hu-berlin.de 1

2 Overview From Documents to Linked Data The Scholarly Potential of Linked Data: DM2E An example: De arte venandi cum avibus Into Modelling the Scholarly Domain: the Big Picture Christian Morbidoni 2

3 From Documents to Linked Data and the Europeana Data Model (EDM) 3

4 The Web of Documents Information Management: A Proposal (TBL, 1989) The Linked Data Web is a double Extension of this model in syntax in scope 4

5 Resources and Links in the Document Web We have HTTP URIs to identify resources and links between them but we are missing a few things! What kinds of resources are 'Louvre.html' and 'LaJoconde.jpg'? A machine cannot tell. Humans can: we recognize implied context! How exactly do they relate to each other? A machine cannot tell. Humans can: again we recognize implied context! 5

6 Syntactically Extending the Document Web (1) We add a syntax for making statements on resources: RDF triples We add a schema language (RDFS) with elements such as classes (chair' as instance of chairs), hierarchies of classes and properties (chairs are a subclass of furniture, 'teaches' is a sub-property of 'communicates') inheritance (communication based on language teaching also is) support for basic inferencing. 6

7 Syntactically Extending the Document Web: RDF (2) And thus are able to establish structures in triple aggregations resulting in lightweight domain ontologies: 7

8 The Web of Things Somewhat Mistaken What's wrong with this picture? Taken from Ronald Carpentier's Blog at /08/08/1-2-3/ 8

9 and the Way we extend the Web in scope to make it a 'Web of Things' 9

10 And we get Linked Data Standard Identifiers Standard Pointers Standards for Queries and Statements Link to Context Copyright 2008 W3C (MIT, ERCIM, Keio) 10

11 A few Bubbles: 5/2007 < Over 500 million RDF triples < Around 120,000 RDF links between data sources Richard Cyganiak 11

12 A Whole Lot of Bubbles: 09/

13 An EDM Aggregation... 13

14 some context 14

15 more context 15

16 and the Big Picture: The Semantic Data Layer 16

17 EDM and Linked Open Data 17

18 'Beyond Catalogues and Records' generates new questions! B Where do resource aggregations 'start'? Where do they 'end'? And what constitutes document boundaries?? And which node was connected to which one at a given time??? A C 18

19 Aggregations and Context: Calculating Closeness 19

20 and new opportunities: Triple Sets and Reasoning 20

21 The Scholarly Potential of Linked Data: Digitised Manuscripts to Europenana (DM2E) 21

22 Digitised Manuscripts to Europeana (DM2E): What? WP1: Provide substantial amounts of digital content to Europeana with a focus on digitised manuscripts WP2: Integrate existing technical building blocks from Europeana development as well as from generic LoD oriented development into a generic production chain for migrating data from various sources to the EDM as well as for the contextualisation of the object representations. WP3: Explore usage scenarios of such content in a specialised platform for humanities research generating digital heuristics and making data as well as heuristics available to specialised visualisation or reasoning environments. 22

23 Digital Humanities Functionality (WP3) How to enable digital scholarship building on combined EDM metadata and digital surrogates... building on an ontological, granular representation of John Unsworth's scholarly primitives (or their successors according to Blanke/Hedges 2011) and resulting in a increasingly complex social semantic scholarly graph containing RDF statements such as VersionA issuccessorof VersionB Statement1 contradicts - Statement2 ScribeY copiedfrom ScribeZ building scholarly heuristics on inferences on this graph... 25

24 An example: De arte venandi cum avibus 26

25 De Arte Venandi (1) 27

26 De Arte Venandi (2) 28

27 De Arte Venandi (3) 29

28 De Arte Venandi Subgraph 1 30

29 De Arte Venandi (4) 31

30 De Arte Venandi (5) 32

31 De Arte Venandi Subgraphs

32 De Arte Venandi (6) 34

33 De Arte Venandi (6) 35

34 De Arte Venandi (6) 36

35 De Arte Venandi done 'right' 37

36 De Arte Venandi there's more! 38

37 De Arte Venandi there's more (2)! 39

38 De Arte Venandi there's more (3)! 40

39 Into Modelling the Scholarly Domain: the Big Picture 41

40 WP3: Digital Humanities Requirements and Related Engineering - Context Goal: lower the barriers for digital content curation by providing an integrated, flexible, semantic based environment targeted to digital humanities scholars 42

41 feet above 43

42 Input Area Details 44

43 + Output 45

44 + Metadata 46

45 + Social Context 47

46 + Zoom on Research 48

47 Roadmap Identify the intended functional extension of the 1st Pundit & Korbo versions Stabilise scholarly domain model Identify additional specialisations of primitives Formalise, ontologically model such specialisations Populate the platform with Wittgenstein's Brown Book and related material Have ~10 scholars work in that environment Analyse and model the resulting scholarly semantic graph 49

48 Selected Reading Martin Doerr, Stefan Gradmann, Steffen Hennicke, Antoine Isaac, Carlo Meghini, Herbert van de Sompel (2010): The Europeana Data Model. IFLA 2010 (Gothenburg). Session on Libraries and the Semantic Web. Stefan Gradmann (2010): Knowledge = Information in Context: on the Importance of Semantic Contextualisation in Europeana. Europeana White Paper 1. John Unsworth (2000): Scholarly Primitives. What methods do humanities researchers have in common, and how might our tools reflect this? In the seminar on Humanities Computing, King's College, London. Tobias Blanke, Mark Hedges (2011): Scholarly primitives. Building institutional infrastructure for humanities e-science, Future Generation Computer Systems, In Press (Science) 50

49 Thank you! Christian Morbidoni 51

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