2. 2
Why?
Institutional commitment to
INNOVATION:
Pioneer in Spain
"Linked data"
Digital Agenda for Europe
New model of
university:
Changes in the
academic and
researcher
enviroment
New model of
Interdisciplinary
RESEARCH CENTRE:
+
Technology Humanities
3. GOALS AND FUNCTIONS
Innovation
Information
Consultancy and
technological
services
and
training
8. Data at the UNED nowadays
Relationship
enterprises-university
Research
groups
Research
institutes
Research
centers
Libraries
Research
apps
Office apps
Data of the
university staff
OTRI
9. UNEDATA LINKED DATA
Relationship
enterprises-university
Research
institutes
Libraries
Research
Centers
Researcher
app
OTRI
Offices apps
Semantic
UNED:
UNEDATA
Data of the
university
staff
Publicize
UNED
10. UNEDATA Advantages
More visibility and impact in the
researchers work – Open Access
More efficiency in our research
Exploitation of the richness of spread
data
Possibilities of ampliation through
linking UNED to other universities
11. Project phases
Data analysis and
preparation of the
infrastructure
Ontologies design
and modeling
Development and
implementation
Visualization and
information
retrieval
14. The project
ReMetCa
Repertorio Métrico Digital de la Poesía Medieval Castellana
(Digital Repertoire on the Metrics of the Medieval Castilian
Poetry)
2011
Tool to study and research on
Medieval Castilian Poetry
20. How to link repertoires
Issues to consider
Different structure and level of complexity
Different content and antiquity
Different technological systems
SQL databases
Propietary RDBMS systems
XML tagged text
Different levels of access
21. Interoperability solutions
• Using SQL forms to
combine SQL
databases
• Transforming content
into XML tagged text
• Using standardized
protocols of
interoperability like
OAI-PMH
• Not possible for non
SQL databases
• Would require a lot of
work on each DB
• Not enough to
express the content
and relations of each
repertoire
24. Why a linked data model
Based on metadata added to existing
databases
Does not alter the internal structure of
each repertoire
Code is published as linked data
available on the web
Extensible and flexible model
25. Steps to implement the model
Modelling a common ontology
Identification of fields corresponding to
metadata in each database
Data ingest and data curation
Establishement of a SPARQL endpoint
Visualization tools and apps
26. We are here…
Modelling a common ontology for
poetical repertoires
27. Some issues
No previous ontology on poetry
existed
Need of standardization of some fields
(eg: metrical and rhythmical scheme)
Need to create controlled
vocabularies to organize information
28. ReMetCa’s choice
OWL Full
Double Ontology system combined
General ontology – for interoperability
purposes
Poetry ontology – specific for Castilian
poetry problems
30. POEM
Author
Title
Incipit
Manuscript
Post quem
Ante quem
Language
Topics
Edition
Online edition
POEM
Isometrism
Isostrophism
Metrical scheme
Rhyme scheme
Rhyme
Musical notation
Number of stanzas
Number of lines
Poetic form
31. POEM
Author
Title
Incipit
Manuscript
Post quem
Ante quem
Language
Topics
Edition
Online edition
Work
Classes
POEM
Isometrism
Isostrophism
Metrical scheme
Rhyme scheme
Rhyme
Musical notation
Number of
stanzas
Number of lines
Poetic form
32. POEM
Author
Title
Incipit
Manuscript
Post quem
Ante quem
Language
Topics
Edition
Online edition
Work
Object Properties
POEM
Isometrism
Isostrophism
Metrical scheme
Rhyme scheme
Rhyme
Musical notation
Number of
stanzas
Number of lines
Poetic form
33. POEM
Author
Title
Incipit
Manuscript
Post quem
Ante quem
Language
Topics
Edition
Online edition
Work
Data Properties
POEM
Isometrism
Isostrophism
Metrical scheme
Rhyme scheme
Rhyme
Musical notation
Number of
stanzas
Number of lines
Poetic form