Indoor Data Management: Progress, Challenges and Opportunities
Speaker: Muhammad Aamir Cheema – Melbourne, VIC, AustraliaTopic(s): Information Systems, Search, Information Retrieval, Database Systems, Data Mining, Data Science
Abstract
Indoor 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 Lecture
Number of Slides: 70Duration: 60 minutes
Languages Available: English
Last Updated:
Request this Lecture
To request this particular lecture, please complete this online form.
Request a Tour
To request a tour with this speaker, please complete this online form.
All requests will be sent to ACM headquarters for review.