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UID:pretalx-fosscomm-2020-K9NJPG@pretalx.fosscomm.gr
DTSTART;TZID=EET:20201121T153000
DTEND;TZID=EET:20201121T160000
DESCRIPTION:Traditional medicine (ethnopharmacology)\, is now widely consid
 ered as a promising alternative medicine for complementary treatment of th
 e well-known western medicine. Thousands of plant species\, many of which 
 have medicinal values\, are still widely used as alternative or complement
 ary therapy (mainly in developed countries). The documentation of indigeno
 us knowledge on the use of plants in Eastern Europe (in our case southern 
 Balkans\, Greece and coastal zone of Asia Minor)\, is a very challenging t
 ask.\nHistorically significant cultural influences that this region has re
 ceived from the West and the East and at the same time\, the complex lingu
 istic differentiation of the name of compounds / drugs in different region
 s of the same country requires a linguistic differentiation to confirm the
 ir action. The result is that today we have undefined and unused database 
 filtered by time.\nA significant volume of traditional knowledge regarding
  ethnopharmacology is shared through online means: blogs\, social media\, 
 dedicated websites. However\, the volume of sources that needs to be monit
 ored\, the variety of formats used\, the different quality of language use
  across sources\, present some of what we call “big data” challenges i
 n the analysis of this data.\nTo face these challenges\, we propose the us
 e of Information Technology (IT) and Artificial Intelligence (AI) to: allo
 w efficient discovery\, collection and digitization of existing knowledge\
 , through information retrieval and natural language processing methods\; 
 support the experts for the validation of this knowledge\, utilizing machi
 ne learning as decision support helpers\; interlink resources in a web of 
 knowledge related to ethnopharmacology\, through intelligent focused crawl
 ing agents empowered by deep reinforcement learning.\nIn the presentation\
 , we will:\n    • Discuss the need for an open eco-system and software i
 nfrastructure for the empowerment of ethnopharmacology research\n    • O
 verview our vision for the architecture of the infrastructure\n    • Des
 cribe the first steps towards implement it\, with the power of AI methods.
DTSTAMP:20260512T061203Z
LOCATION:Κύρια Αίθουσα Ομιλιών
SUMMARY:A Personalized Artificial-Intelligence-enabled Method for Efficient
  Research in Ethnopharmacology - Andreas Kontogiannis\, Evangelos Axiotis
URL:https://pretalx.fosscomm.gr/fosscomm-2020/talk/K9NJPG/
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