BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Building Knowledge from Text: Methods\, Models\, and Practice DTSTART:20260625T110000Z DTEND:20260625T140000Z DTSTAMP:20260616T201800Z UID:indico-event-296@events.asc.ac.at CONTACT:training@ai-at.eu DESCRIPTION:Start date:  25 Juni 2026\, 13:00 (CEST)   Entry level:  B asicEnd date:  25 Juni 2026\, 16:00 (CEST)   Subject area:  Artificial Intelligence (AI)Location:  ONLINE (Zoom)     Topics:  Knowledge ext ractionLanguage:  English     Target audience:  Industry\, public adm in\, academiaPrice:  Free (for eligible participants)     Organizers:  AI:AT & ASCEvery day\, mountains of knowledge pile up as unstructured te xt and most of it never gets used. Learn how you can transform unstructure d documents into actionable knowledge that supports informed\, real-world decisions.Large amounts of knowledge are created and stored every day as u nstructured text\, including articles\, reports\, notes\, guidelines\, and other sources from the World Wide Web. While rich in meaning\, this infor mation is often difficult to analyze systematically and remains unused whe n it comes to learning\, reasoning\, and decision making.This training exp lores how unstructured text can be transformed into structured and usable knowledge. It examines the key challenges involved\, such as ambiguity\, c ontext\, scale\, and credibility\, and discusses approaches for extracting \, organizing\, and connecting information in ways that support understand ing\, insight\, and automation.The session introduces traditional and mode rn methods for working with natural language\, including AI-based techniqu es and knowledge representations\, and shows how they can help bridge the gap between text and insights. The focus is on concepts\, patterns\, and r eal-world considerations\, making the course relevant for researchers\, pr actitioners\, and anyone interested in turning text into knowledge.Agenda & ContentFor a detailed timetable and additional information\, please see Agenda & Content in the left menu.Target audience\, eligibility & pricesEv eryone is welcome who wants to get a deeper understanding of how and why A I systems make decisions.This course is open and free of charge for all pa rticipants from academia\, industry\, and public administration from EU an d/or EuroHPC JU member countries.Entry level & prerequisitesBasic – Part icipants are expected to be familiar with basic python programming\, prior machine learning experience is not required.Course formatThis course will be delivered as a LIVE ONLINE COURSE (using Zoom).Hands-on labsAll partic ipants will get a temporary user account on one of the ASC systems to do t he hands-on labs.You will use your own laptop or workstation to connect co nveniently from your browser to the ASC Jupyterhub and do the hands-on exe rcises on a suitable CPU or GPU partition of the ASC.Accepted participants will be contacted a few days before the course and asked to do a short pr e-assignment that has to be completed before the course starts.LecturerDr. Heidi Hobel (AIT Austrian Institute of Technology GmbH)                        Dr. Heidi Hobel is a Research Engineer at the AIT Austrian Institute of Technology with over a decade of experience as a n AI engineer\, specializing in natural language processing and machine le arning methods for semantic search\, information extraction\, and knowledg e-based decision support. Her work focuses on transforming unstructured te xt into structured and enriched representations that enable systematic ana lysis and reasoning. She has extensive experience in text annotation and c lassification\, as well as entity and relation extraction\, and has applie d these methods in real-world\, interdisciplinary research and industry pr ojects. She is passionate about connecting modern AI techniques with knowl edge representation and supporting researchers and practitioners in effect ively leveraging natural language technologies across a wide range of use cases.LanguageEnglishDate\, time\, and location25.06.2026\, 13:00 – 16:0 0 (CEST)\, LIVE ONLINE COURSE (Zoom)RegistrationRegistration is required\, the registration form can be found on top of this page in the menu on the left.Please register with your official institutional email address to pr ove your affiliation.You will get an automatic confirmation by email (subj ect starting with "[Indico] Registration")\, please check your Spam/Junk f olders.Following your successful registration\, you will receive further i nformation a few days before the course.Please do not hesitate to contact us at training@ai-at.eu if you have any questions.WaitinglistAfter the num ber of registrations has reached its maximum or the registration form has been closed\, you may want to send us an email (training@ai-at.eu) stating that you are interested to be put on the waiting list (vacancies may occu r due to cancelations\, etc.).To be able to do the hands-on labs on the AS C systems please provide your full international mobile-phone number for t he two-factor authentication required to login to the ASC systems.Modifica tion\, withdrawal & no-show policyYour registration is binding. Please onl y register for the course if you are really going to attend.You can update your registration data or withdraw your registration anytime before the r egistration form has been closed via the link "Manage my registration" whi ch you can find at the bottom of your automatic email confirmation (subjec t starting with "[Indico] Registration").Alternatively\, or after the regi stration form has been closed\, please inform us about your cancelation or any change in your registration data (especially your mobile-phone number ) via email (training@ai-at.eu).No-show policy: If you do not cancel and d o not show up at the course you will be blacklisted and excluded from futu re training events.Organizers                This course is jo intly organized by AI Factory Austria AI:AT and Austrian Scientific Comput ing ASC (aka ASC Research Center\, TU Wien).AcknowledgementsAI Factory Aus tria AI:AT has received funding from the European High-Performance Computi ng Joint Undertaking (JU) under grant agreement No 101253078. The JU recei ves support from the Horizon Europe Programm of the European Union and Aus tria (BMIMI / FFG). \n\nhttp://events.asc.ac.at/event/296/ LOCATION:Zoom (ONLINE) URL:http://events.asc.ac.at/event/296/ END:VEVENT END:VCALENDAR