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Call for Posters: Semantic Annotation for the Ancient World - SA4AW (onsite & online)

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Dear all, 

We are pleased to announce that the call for posters for the Semantic Annotation for the Ancient World conference <https://talosai4ssh.uoc.gr/events-page/conferences/semantic-annotation-for-the-ancient-world-conference/> is now open. 

The poster session is intended to discuss work in progress relevant to the topics of the conference:

   *     Ontology-driven semantic annotation
   *     Standardisation
   *     Multilingual annotation practices
   *     Automatic and semi-automatic annotation
   *     Annotation of ancient geography
   *     FAIR/LOD data
   *     Semantic Web
   *     NER for ancient Greek/Latin
   *     RDF-based digital editions
   *     Methods, tools, and platforms

Authors are invited to submit an abstract of no more than 750 words to the EasyChair <https://easychair.org/my/conference?conf=sa4aw> page, describing their research questions, motivation, and preliminary results. All formats are accepted. An image of the poster may also be included. The working language of the conference is English. Accepted posters will be published in the proceedings.

Deadline for submission: February 1st, 2025
Notification of acceptance to authors: February 20th, 2025
Deadline for confirmation of participation by accepted authors: February 28th, 2025

 

With best wishes, 

Maria Papadopoulou & Rachel Milio

TALOS AI4SSH



=======>  a reverse Turing test: a person should be called unintelligent 
if their writing could not be distinguished from an artificially generated one  <=======
     Nassim Taleb (2001) Fooled by Randomness in Ben Auffarth (2020) AI with Python Cookbook 
 

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Dr Maria Papadopoulou
Assistant Professor in Digital Humanities and Classics
Research Group Leader & Project Manager 
HORIZON ERA CHAIR TALOS AI4SSH 
Artificial Intelligence for the Humanities and the Social Sciences

Visiting address: 
University of Crete Research Center (UCRC)
Building E-Room 10, Gallos Campus, Rethymno, GR 74100
Telephone: +30 28310 77140 -
Mobile: +30 6972 822777, +971 56 399 4300