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Linked open data: standardization, interoperability and multilingual challenges for digital humanities_TEEM 2016

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During the TEEM 2016 (Technological Ecosystems for Enhancing Multiculturality) conference between 2 and 4 of november in Salamanca we presented our ERC H2020 Project: POSTDATA and the link with digital humanities, web semantic and linked open data method.

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Linked open data: standardization, interoperability and multilingual challenges for digital humanities_TEEM 2016

  1. 1. Elena González-Blanco (egonzalezblanco@flog.uned.es) Laboratorio de Innovación en Humanidades Digitales, UNED, Spain Principal Investigator ERC project Poetry Standardization and Linked Open Data - POSTDATA Mara Mănăilescu (mmanailescu@linhd.uned.es) Laboratorio de Innovación en Humanidades Digitales, UNED, Spain Salvador Ros (sros@scc.uned.es) Escuela Technica Superior de Ingineria Informática, UNED, Spain From syllables, lines and stanzas to linked open data: standardization, interoperability and multilingual challenges for digital humanities
  2. 2. Who we are • LINHD – a pioneer Digital Humanities centre in Spanish language, from 2014 • We are part of CenterNet (ADHO) • Completely self-sustained • Collaboration in diversity
  3. 3. • LINHD: a bridge between different fields of knowledge  Philologists  Software Developers  Natural Language Processing Experts  Ontologists & LOD technologists Our researchers 3
  4. 4. The DH paradigm applied to poetry Traditional Research Digital Humanities Counting syllables with fingers Automatic syllable counter Comparing 2-3 poems at the same time Comparing thousands of poems in parallel Looking for similar evidences by reading all papers and books Finding multiple evidences through one search engine Individual research Collaborative, interdisciplinary research
  5. 5. Poetry Modelling. Why?
  6. 6. POSTDATA is structured in three axes • Philology Abstract model of philological shared elements • Technolog yOntology for Poetry as Linked Open Data • Society Platform for Poetry storage and analysis
  7. 7. Historical developments • Middle Ages and Renaissance - the powerful influence of Latin applied to Romance languages • The musical analysis system was followed as a valid system • The international context is richer, especially in English, with two prominent schools: 1) A traditional approach based on stress and classical feet; and 2) A generative approach based on the terminology and concepts shown through text grids that take into account word boundaries
  8. 8. Philological standardization is the starting point
  9. 9. How to get interoperability
  10. 10. A common data model for all existing resources Latin poetry Spanish poetry Galician poetry Italian poetry French poetry Occitan poetry
  11. 11. Analysing Data Models Relational Database Conceptual Model
  12. 12. XML Schema Model Conceptual Model Analysing Data Models
  13. 13. Analysing Data Models Perl Scritp structure Conceptual Model
  14. 14. How to overcome these diferences? • Development of a Metadata Application Profile for the European Poetry community • LOD technology
  15. 15. POSTDATA platform is a virtual research environment for researchers and other users Online User-friendly Different profiles Virtual research environment for poetry scholarly editing Repository Combination of tools, which specifically oriented to poetry analysis Lab A social platform to find new projects, partners and ideas Community
  16. 16. Manage textual editions • A selection of text encoding options based on TEI-XML tags to build DTDs or schemas • A complex query system, like XQuery and • A UX user interface to visualize and publish the text edition in different formats with search possibilities, using XSLT and other technologies (such as Javascript, PHP and CSS)
  17. 17. User-friendly environment • To design a publication environment suitable for different types of users • To train academic researchers and professional in digital humanities through webinars, tutorials, and learning guides • To embed all the content available in this virtual environment into a linked-data framework
  18. 18. User Interface Develop an easy to use interface:  LOD powerful search engine  a digital edition platform  a poetry lab to play with apps and tools  a visualization layer: geolocalization, timelines, graphs.
  19. 19. Conclusions • Many Digital Humanities and culture-based projects shown shared problems • At the conceptualization level it is necessary to map and translate philological concepts and make information exchangeable • At a technological level there is a need for interoperability and standard solutions • Interoperability by: using open data formats, APIs, exchange languages and standardized metadata
  20. 20. egonzalezblanco@flog.uned.es & LINHD Team http://postdata.linhd.es/ http://linhd.uned.es @linhduned

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