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POSTDATA:
Towards publishing European Poetry as Linked Open Data
Mariana Curado Malta (mariana@iscap.ipp.pt; mariana.malta@linhd.uned.es), ISCAP, IPP | LINHD – UNED
Paloma Centenera (paloma.centenera@linhd.uned.es), LINHD - UNED
Elena González-Blanco (egonzalezblanco@flog.uned.es), LINHD - UNED
Outline
• The Context
• The Problem
• The Approach
• Where are we now?
• Future Work
• Conclusions
2
Context
Project POSTDATA
Poetry Standardization and Linked Open Data
ERC Grant
PI: Elena Gonzalez-Blanco
3
A digital humanities center is an entity where new media and technologies are used
for humanities-based research, teaching, and intellectual engagement and
experimentation. The goals of the center are to further humanities scholarship, create
new forms of knowledge, and explore technology’s impact on humanities
based disciplines".
Diane M. Zorich, A Survey of Digital Humanities Centers in the United States, 2008
Context – Where?
• LINHD: a bridge between different fields of
knowledge
• LINHD has:
 Philologists
 Software Developers
 Natural Language Processing Experts
 Ontologists & LOD technologists
Context – Where?
5
DH in the World
Context - What
• The metrics on European Poetry
7
The problem
• At least 21 repertoires on Poetry metrics & other
information (in the Web of Documents)
• This community wants to share all the data
among repertoires
• ….to enhance its research
• And more…
9
The problem
• First issue: standardize poetic features
 Different languages
 Different cultures/traditions
10
Philologists take care of this issue!
Philological barriers:
different ways of
conceptualization
Alexandrines
4x(7pp+7p)
(Classic Latin)
12A12A12A12A
(Romance)
Goliardic
Philological
standardization:
starting point
The problem
Second issue: repertoires locked in their silos of
information:
 Different paradigms: Local and Web of Docs
 Different technologies: XML, Excel, Access,
MySQL, SQL, Data stored in Perl Objects (so
far)
 Different data models
13
The problem
• How to overcome these diferences?
• LOD technology
• Development of a Metadata Application Profile
for the European Poetry community
14
The Approach
• Method for the development of Metadata
Application Profiles (Me4MAP)
• Me4MAP establishes a well defined process for
the development of a MAP:
 defines activities
 when those activities should take place
 how they interconnect
 and their resulting deliverables
15
The Approach
16
17
Were are we now?
Where are we now ?
• S1: Defining the Functional Requirements
• Analysing the Websites’ functionalities and
the Logical Models of the databases (when
possible)
• S2: Defining the Domain Model
18
Where are we now ?
• Reverse engineering process eliminates all the details
that have to do with the implementation/representation
• We have followed the process:
• ID keys deleted
• Separate different concepts that are represented in
the same table
• Tables that enumerate terms deleted  become
properties that can be repeated
• When models have conceptual problems  fix
problems
19
20
Relational Database Conceptual Model
Analysing Data Models
21
XML Schema Model Conceptual Model
Analysing Data Models
22
Perl Scritp structure Conceptual Model
Analysing Data Models
• During the process of reverse engineering
we standardize, i.e.
 Call the same concepts by the same
name (working together with the philologist)
 Try to call the same names to tables or
properties as classes or terms that
already exist in A3: Environmental
Scan
23
Analysing Data Models
Where are we now ?
• If the repertoire’s responsibles did not
provide database definition analyse the
functionalities of the Website
• Study the controlled vocabularies and
standardize them: 1) ask for them, 2)
collect them in the Websites
24
Where are we now ?
• Study other communities/projects for
interoperability, ex:
 Biblioteca Nacional de España -
http://www.bne.es
 Biblissima - http://www.biblissima-condorcet.fr
 Pelagios - http://pelagios.org/
 Claros - http://www.clarosnet.org/
25
Where are we now ?
• A3: Environmental Scan:
• A report
• contains a review schemas available in
any serialization of the Semantic Web
• that may serve the needs of the Domain
Model
26
27
Future Work
• At the end of S1 & S2 processes we will
have Functional requirements & Domain
Model defined
• We will validate the Domain Model in two
meetings (Jan/Feb 2017) with:
1. The repertoire’s responsibles (circa
20)
2. Semantic Modelers experts (3)
28
Next step ?
• Defined the Domain Model & the
Environmental Scan  develop the S2.1:
Vocabulary Alignment
 To match the terms of the metadata
schemas identified in the
Environmental Scan (A3) with the
needs of the Domain Model.
29
Conclusions
• POSTDATA aims to put poetry metrics data in
LOD
• There are at least 21 repertoires on the Web of
Documents
• To achieve that we need to: 1) standardize the
way poetry metrics is defined, 2) create a
Metadata Application Profile (MAP) for the
European Poetry community
• We are following Me4MAP to create this MAP
30
Europeana Poetry?
31
Mariana Curado Malta mariana.malta@linhd.uned.es
Paloma Centenera paloma.centendera@linhd.uned.es
Elena González-Blanco egonzalezblanco@flog.uned.es
linhd.uned.es
postdata.linhd.es
@linhduned

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POSTDATA: Towards publishing European Poetry as Linked Open Data

  • 1. POSTDATA: Towards publishing European Poetry as Linked Open Data Mariana Curado Malta (mariana@iscap.ipp.pt; mariana.malta@linhd.uned.es), ISCAP, IPP | LINHD – UNED Paloma Centenera (paloma.centenera@linhd.uned.es), LINHD - UNED Elena González-Blanco (egonzalezblanco@flog.uned.es), LINHD - UNED
  • 2. Outline • The Context • The Problem • The Approach • Where are we now? • Future Work • Conclusions 2
  • 3. Context Project POSTDATA Poetry Standardization and Linked Open Data ERC Grant PI: Elena Gonzalez-Blanco 3
  • 4. A digital humanities center is an entity where new media and technologies are used for humanities-based research, teaching, and intellectual engagement and experimentation. The goals of the center are to further humanities scholarship, create new forms of knowledge, and explore technology’s impact on humanities based disciplines". Diane M. Zorich, A Survey of Digital Humanities Centers in the United States, 2008 Context – Where?
  • 5. • LINHD: a bridge between different fields of knowledge • LINHD has:  Philologists  Software Developers  Natural Language Processing Experts  Ontologists & LOD technologists Context – Where? 5
  • 6. DH in the World
  • 7. Context - What • The metrics on European Poetry 7
  • 8.
  • 9. The problem • At least 21 repertoires on Poetry metrics & other information (in the Web of Documents) • This community wants to share all the data among repertoires • ….to enhance its research • And more… 9
  • 10. The problem • First issue: standardize poetic features  Different languages  Different cultures/traditions 10 Philologists take care of this issue!
  • 11. Philological barriers: different ways of conceptualization Alexandrines 4x(7pp+7p) (Classic Latin) 12A12A12A12A (Romance) Goliardic
  • 13. The problem Second issue: repertoires locked in their silos of information:  Different paradigms: Local and Web of Docs  Different technologies: XML, Excel, Access, MySQL, SQL, Data stored in Perl Objects (so far)  Different data models 13
  • 14. The problem • How to overcome these diferences? • LOD technology • Development of a Metadata Application Profile for the European Poetry community 14
  • 15. The Approach • Method for the development of Metadata Application Profiles (Me4MAP) • Me4MAP establishes a well defined process for the development of a MAP:  defines activities  when those activities should take place  how they interconnect  and their resulting deliverables 15
  • 18. Where are we now ? • S1: Defining the Functional Requirements • Analysing the Websites’ functionalities and the Logical Models of the databases (when possible) • S2: Defining the Domain Model 18
  • 19. Where are we now ? • Reverse engineering process eliminates all the details that have to do with the implementation/representation • We have followed the process: • ID keys deleted • Separate different concepts that are represented in the same table • Tables that enumerate terms deleted  become properties that can be repeated • When models have conceptual problems  fix problems 19
  • 20. 20 Relational Database Conceptual Model Analysing Data Models
  • 21. 21 XML Schema Model Conceptual Model Analysing Data Models
  • 22. 22 Perl Scritp structure Conceptual Model Analysing Data Models
  • 23. • During the process of reverse engineering we standardize, i.e.  Call the same concepts by the same name (working together with the philologist)  Try to call the same names to tables or properties as classes or terms that already exist in A3: Environmental Scan 23 Analysing Data Models
  • 24. Where are we now ? • If the repertoire’s responsibles did not provide database definition analyse the functionalities of the Website • Study the controlled vocabularies and standardize them: 1) ask for them, 2) collect them in the Websites 24
  • 25. Where are we now ? • Study other communities/projects for interoperability, ex:  Biblioteca Nacional de España - http://www.bne.es  Biblissima - http://www.biblissima-condorcet.fr  Pelagios - http://pelagios.org/  Claros - http://www.clarosnet.org/ 25
  • 26. Where are we now ? • A3: Environmental Scan: • A report • contains a review schemas available in any serialization of the Semantic Web • that may serve the needs of the Domain Model 26
  • 27. 27
  • 28. Future Work • At the end of S1 & S2 processes we will have Functional requirements & Domain Model defined • We will validate the Domain Model in two meetings (Jan/Feb 2017) with: 1. The repertoire’s responsibles (circa 20) 2. Semantic Modelers experts (3) 28
  • 29. Next step ? • Defined the Domain Model & the Environmental Scan  develop the S2.1: Vocabulary Alignment  To match the terms of the metadata schemas identified in the Environmental Scan (A3) with the needs of the Domain Model. 29
  • 30. Conclusions • POSTDATA aims to put poetry metrics data in LOD • There are at least 21 repertoires on the Web of Documents • To achieve that we need to: 1) standardize the way poetry metrics is defined, 2) create a Metadata Application Profile (MAP) for the European Poetry community • We are following Me4MAP to create this MAP 30
  • 32. Mariana Curado Malta mariana.malta@linhd.uned.es Paloma Centenera paloma.centendera@linhd.uned.es Elena González-Blanco egonzalezblanco@flog.uned.es linhd.uned.es postdata.linhd.es @linhduned

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