🚨Call for abstracts!
We are inviting abstracts for the Extended Intelligence for Cultural Engagement conference (ExICE)
📍@Unibo, Bologna
📅15 March
Deadline for submissions: 31 January
Full details👉https://t.co/d0dkKKKg5I
PhD studentship available in @kmiou. Three topics related to our work on the @SpiceH2020 and @PolifoniaH2020 projects: Citizen Curation, human interaction with musical data and Knowledge Graph construction. If interested in applying for any of these contact me and/or @enridaga
.@enridaga from @OpenUniversity will be a part of the #NLP session at the #DBpediaDay on Sep 9 with his presentation “Capturing the semantics of documentary evidence of humanities research”. Check all details here https://t.co/oOI8vF6ueN #SemanticsConf#DBpediaCommunity
PhD studentship available in @kmiou. Possible topics include Citizen Curation and Knowledge Graphs for Cultural Heritage, related to our EU @SpiceH2020 and @PolifoniaH2020 projects. Contact me or @enridaga for further details. https://t.co/WtInLALXhZ
Welcome on board, music lovers.
We are a #EU H2020 Project applying AI for enhancing our understanding of European musical heritage. Sign up for our newsletter to discover more > https://t.co/A67dFvnjTS
#POLIFONIAH2020#CulturalHeritage#EuropeanUnion
Registration is open for the next @DH_OU online seminar on 11th Jan: Computing cultural heritage for humanities scholarship: a knowledge graph perspective by @enridaga. Register by 8th Jan at https://t.co/UnpINcpBW3
@kmiou@OU_FASS
The proceedings of the first all-online edition of the WHiSe workshop are out on CEUR! As a special treat, the volume includes a transcript of the workshop day's discussions on papers, keynote and our virtual round table. https://t.co/836zfXBcOD #SemanticWeb#DigitalHumanities
... "Towards the Modeling of Polarity in a Latin Knowledge Base" Rachele Sprugnoli, Francesco Mambrini, Giovanni Moretti and Marco Passarotti https://t.co/an44WQ85qB #bestpaper#whise2020
Time for #whise2020 invited speaker: @antoine_isaac on data quality issues in @Europeanaeu (such as sparseness, heterogeneity, multilinguism) and how to handle them following the #LinkedData paradigm