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Due to the ubiquity of mobile phones and location-detection devices, locationdata is being generated in very large volumes. Queries and operations that areperformed on location data warrant the use of database systems. Despite that,location data is being supported in data systems as an afterthought. Typically,relational or NoSQL data systems that are mostly designed with non-locationdata in mind get extended with spatial or spatiotemporal indexes, some queryoperators, and higher level syntactic sugar in order to support location data.The ubiquity of location data and location data services call for systems thatare solely designed and optimized for the efficient support of location data.This paper envisions designing intelligent location+X data systems, ILX forshort, where location is treated as a first-class citizen type. ILX is tailoredwith location data as the main data type (location-first). Because locationdata is typically augmented with other data types X, e.g., graphs, text data,click streams, annotations, etc., ILX needs to be extensible to support otherdata types X along with location. This paper envisions the main features thatILX should support, and highlights research challenges in realizing andsupporting ILX.

ILX: Intelligent "Location+X" Data Systems (Vision Paper)