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DTSTART:20210101T000000
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DTSTART;VALUE=DATE:20220912
DTEND;VALUE=DATE:20220916
DTSTAMP:20260503T000013
CREATED:20220322T091047Z
LAST-MODIFIED:20220322T091047Z
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SUMMARY:SEMANTiCS Conference 2022
DESCRIPTION:SEMANTiCS (September 12-15\, 2022) is an established knowledge hub where technology professionals\, industry experts\, researchers and decision makers can learn about new technologies\, innovations and enterprise implementations in the fields of Linked Data and Semantic AI. Since 2005\, the conference series has focused on semantic technologies\, which are today together with other methodologies such as NLP and machine learning the core of intelligent systems. The conference highlights the benefits of standards-based approaches. The conference covers technical and business-relevant topics in varying depth. Beginners and experts will benefit equally. Dive into affiliated domains and be up to speed! \nSEMANTiCS is the only European conference at the intersection of research and industry. Dive deeper into the world of semantic technologies\, machine learning and data science: \n\n\n\n\n\nAt this conference you will really learn something. Explore more advanced topics in various talks and workshop sessions. The conference agenda pays tribute to a highly diverse\, but complementary audience. Discover newest research insights\, explore enterprise solutions and learn implementation stories of leading companies.\nAt SEMANTiCS you will meet many new people from your own domain\, but also beyond your professional boundaries. This diversity will awaken your creativity and open up new opportunities.\nDepending on your professional background\, the conference can provide you with business development opportunities\, new research partners or career perspectives.\nSEMANTiCS takes place in Vienna – the world’s top city of quality for life. In such an environment\, you can expect a truly pleasant conference stay on many levels. We don’t let you leave without seeing and enjoying Austria’s capital. The social events will be fun.\n\n 
URL:https://www.trusts-data.eu/event/semantics-conference-2022/
LOCATION:Vienna & Online\, Handelskai 269\, Vienna\, 1020
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20220913
DTEND;VALUE=DATE:20220914
DTSTAMP:20260503T000013
CREATED:20220805T100706Z
LAST-MODIFIED:20220805T100706Z
UID:3239-1663027200-1663113599@www.trusts-data.eu
SUMMARY:SemAI 2022: First Workshop on Semantic AI
DESCRIPTION:September 13-15\, 2022\, Vienna\, Austria. Co-located with SEMANTiCS Conference 2022\n\n\n\n\nAI approaches based on machine learning have become increasingly popular across all sectors. However\, experience shows that AI initiatives often fail due to the lack of appropriate data or low data quality. Furthermore\, state-of-the-art AI models are widely opaque and suffer from a lack of transparency and explainability. Semantic AI approaches combine methodology from statistical AI and symbolic AI based on semantic technologies such as knowledge graphs as well as natural language processing\, while incorporating mechanisms for explainable AI. Semantic AI requires technical and organizational measures\, which get implemented along the whole data lifecycle. While the individual aspects of semantic AI are being studied in their respective research communities a dedicated community focusing on their combination is yet to be established. \n\n\n\n\n\n\n\n\nImportant Dates\n\nSubmission Deadline: July 4\, 2022\nNotification of Acceptance: July 30\, 2022\nCamera-ready versions of accepted contributions: August 15\, 2022\nWorkshop date: Tuesday\, September 13\, 2022\n\nTopics of Interest\n\n\nTopics relevant to this workshop include – but are not limited to – the following aspects of semantic AI: \n\nClassification of types of emerging semantic AI approaches\, e.g. those listed below\nNovel design patterns for semantic AI systems\nSystem development life-cycle stages when creating semantic AI systems\nNeuro-symbolic AI\, i.e.\, methods combining statistical AI based on machine learning and symbolic AI\, based on semantic technologies\nMachine teaching and other use of knowledge graphs in supervised machine learning to improve model quality and robustness\nSemi-supervised learninng\, i.e.\, combination of supervised and unsupervise machine learning\, e.g.\, in natural language processing\nDistant supervision\, i.e.\, use of semantic rules and other heuristics for data labelling\nFew- and zero-shot learning\, i.e.\, adapting to unseen classes given only a few or no examples at all\nSemantics-based approaches to explainable AI\, human in the loop in AI to improve trustworthiness\nKnowledge graphs and other semantic technologies for automated data quality management\nReports on benefits/limitations of combining machine learning and semantic technologies\, possibly from the perspective of concrete application domains and tasks\n\n\n\n\n\n\n\n\nSubmission Guidelines\nWe welcome the following types of contributions: \n\nResearch papers (max. 8 pages)\nBest practices and lessons learned (max. 4 pages)\n\nAll submissions must be written in English and adhere to the CEUR-ART style. \nPlease use the following Overleaf template for LaTeX: https://www.overleaf.com/read/mwrbbrhrpwzv. \nMore Information
URL:https://www.trusts-data.eu/event/semai-2022-first-workshop-on-semantic-ai/
LOCATION:Vienna\, Austria
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