Kite is a scalable Microblogs data management system that supports generic queries efficiently on arbitrary attributes of Microblogs data, e.g., tweets, online reviews on TripAdvisor, Yelp, or Amazon, user comments on news websites, or social media micro-posts like comments, check-ins and interactions. Kite is being developed as a big umbrella for several scalable data management techniques that are designed to address the unique characteristics of Microblogs data. The ultimate goal of Kite is to serve as a scalable backend that facilitate building applications on top of Microblogs data hiding all the data management details from the developers, just like database systems work as backend for relational data applications. Kite is available for the community to exploit and build upon it for future research and development.
- Main system demonstration in IEEE ICDE 2017.
- Microblogs Data Management Systems vision in IEEE MDM 2015.
- Memory flushing paper in IEEE ICDE 2016.
- Contextual queries paper in IEEE ICDE 2016.
- Spatial indexing paper in IEEE ICDE 2014. Selected among best ICDE papers.
- Spatial trending queries paper in ACM SIGSPATIAL 2016.
- Adaptive load shedding paper in IEEE TKDE 2016.
- Spatial queries demo in IEEE ICDE 2014.