EDEN An Epigraphic Web Database of Ancient Inscriptions

Transcription

1 EDEN An Epigraphic Web Database of Ancient Inscriptions Martin Scholz (FAU Erlangen-Nürnberg)

2 Outline Goals, Content, and Structure of EDEN Online Database Semantic Modelling Annotating Text and Triple Generation

3 Epigraphic Database Erlangen-Nürnberg Greek and Latin inscriptions from western Turkey Metropolis in Ionia Magnesia ad Maeander (Apollonia ad Rhyndacum) Google Maps: Metropolis, Magnesia, and Apollonia

4 Epigraphic Database Erlangen-Nürnberg Contains information for ancient historians and archaeologists Translations of inscriptions in DE, EN, (and TR,...) For scholars, students, pupils and the wider public Rich metadata and scholarly commentaries The online database accompanies a print edition Runs with no funding, only 1-2 student assistants Technical realisation with WissKI

5 The Software project partners Wissenschaftliche KommunikationsInfrastruktur = Scientific Communication Infrastructure WissKI is a virtual research environment (framework) that extends the CMS Drupal addresses object-centered research (especially from cultural heritage) adapts the Wiki approach of quick, collaborative editing is open source and downloadeble via GitHub natively stores data according to Semantic Web techniques uses the CIDOC CRM for semantic enrichment supported by

6 EDEN Accessing the Inscriptions Currently contains approx. 600 inscriptions (54 published)

7 EDEN Accessing the Inscriptions Currently contains approx. 600 inscriptions (54 published)

8 EDEN Accessing the Inscriptions (2)

9 Wiki-like Display: Integrating Different Kinds of Data

10 Wiki-like Display: Integrating Different Kinds of Data annotated free text images structured data

11 Wiki-like Display: Integrating Different Kinds of Data OWL / RDF CIDOC CRM annotated free text images structured data

12 Wiki-like Display: Integrating Different Kinds of Data OWL / RDF CIDOC CRM annotated free text images automatically extract triples structured data

13 Graph-based Storage

14 Wiki-like Links

15 Data Schema / Main categories in EDEN Dating Thematic Group Role of a Person Commentary Modern Place Genre Person English Translation Finding site Carrier Inscription German Translation Deity Regest Historic Place Categories of content in EDEN

16 Exploring complex links / relations Role of a Person Dating Person Carrier Inscription When do which roles of persons occur in inscriptions?

17 Exploring complex links / relations Role of a Person Dating Person Carrier Inscription When do which roles of persons occur in inscriptions?

18 Reprise: User Interface vs. Storage

19 WissKI's Ontology Layercake

20 Semantic Modelling in WissKI Albrecht Albrecht Dürer Dürer Albrecht Dürer P3 has note E82 Actor Appellation P131 is identified by E21 Person P14 carried out by E84 E84 Information Information Carrier Carrier P108i P108i was was produced produced by by E12 E12 Production Production Nürnberg P7 took place at E53 Place P87 is identified by E48 Place Name P3 has note Nürnberg Nürnberg

21 What's in an ontology path? data instance 1 schema is instance of concept 1 implicit property 1 instance 2 is instance of concept 2 property 2 instance 3 is instance of concept 3 data property value has datatype datatype explicit

22 Pathbuilder: The Semantic Backend in WissKI

23 Reprise: Annotating Text and Triple Generation annotated free text automatically extract triples structured data

24 Annotating Text Graphical Editor

25 Annotating Text Kinds of annotations Supported annotations Entities Person, Place, Dating, Term whatever categories are defined Events Relations Annotations are made on character level

26 Annotating Text Automatic Text Analysis

27 Person Relations in Inscriptions (current research) Recurring theme in EDEN's inscriptions: Genealogic information Affiliation to Deity / Temple Automatically identify and extract person relations. Reuse information for showing complex links

28 Encoding Annotations in HTML no TEI/EpiDoc Textual annotations are stored together with the text using RDFa + class attributes Problem: Pure RDFa is easily corrupted by mixed-in HTML elements / attributes => Basic information as RDFa <= triples! => Further information encoded as HTML classes <= not directly triples! => HTML custom data-* attributes could be used (but were not standardized in )

29 Extracting Triples from Annotated Text Problem: Out-of-the-box RDFa parsers don't return expected triples and cannot consult knowledge base in triple creation process => WissKI by default uses custom parser that constructs triples according to Pathbuilder definitions and uses local knowledge base for disambiguation / triple reuse => Central triple: <text> <refers to / is about> <entity> => use named graphs for storing/reverting extracted triples

30 Light-weight Reasoning Perform SPARQL updates to compute superproperties / superclasses transitive hull for certain relations shortcut properties => compute implicit triples to explore complex relations Problem: full automated reasoning too slow...

31 What comes next? EDEN evolves constantly but slowly! (currently no funding) Wishlist (not complete): More inscriptions to be published More information about people and deities Better search interfaces Integrate 3D scans and annotate them

32 Questions?