Research challenges in location-enabled m-services

Rapid, sustained advances in key computing hardware technologies combine to enable a new class of computing services that aim to meet needs of mobile users. These ubiquitous and intelligent services adapt to each user's particular preferences and current circumstances-they are personalized. The services exploit data available from multiple sources, including data on past interactions with the users, data accessible via the Internet, and data obtained front sensors. The user's geographical location is particularly central to these services. We outline some of the research challenges that aim to meet the computing of such services. In particular, focus is on update arid query, processing in the context of geo-referenced data, where certain challenges related to the data representation, indexing and precomputation are described.