Indoor Data Management: Progress, Challenges and OpportunitiesSpeaker: Muhammad Aamir Cheema – Melbourne, VIC, Australia
Topic(s): Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science
AbstractIndoor space accommodates considerable parts of people’s daily life. Driven by real needs, many indoor venues, such as shopping malls, exhibition halls and transportation facilities, have started to provide indoor location-based services (LBS). Such indoor LBS applications are built upon the availability of indoor localization and research on indoor data management. This talk on indoor data management provides an overview of the progress, challenges, and opportunities in the field. The talk begins with an introduction to indoor data management and the challenges associated with it. The focus then shifts to the progress made in the field, with a particular emphasis on data modeling for indoor space, indexing and querying indoor space and data, and preprocessing indoor positioning data. The lecture highlights the latest research and innovations in each of these areas, providing attendees with a comprehensive overview of the state of the art. Finally, the talk concludes with a discussion on the future research directions and opportunities in indoor data management, highlighting key areas of research that are likely to have a significant impact on the field in the years to come. Whether attendees are researchers, practitioners, or students, this talk offers valuable insights into the challenges and opportunities in indoor data management and highlights the latest advances in the field.
About this LectureNumber of Slides: 70
Duration: 60 minutes
Languages Available: English
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