February 3, Location Based M-Services The numbers of on-line mobile personal devices increase. New types of context-aware e-services become possible. Location based mobile-services Moving users equipped with mobile phones, PDAs, etc., periodically disclose their positions to the service provider The service provider tracks the movement of the users and provides useful services: “If you want to get home faster today, do not turn into street X (where you will get into a traffic jam)” “On the right, you should see the Smithsonian Air and Space Museum – the museum you should definitely visit before leaving Washington D.C.”

February 3, LBS Architecture Service provider DBMSs Locations of users Positioning Location info Service requests (queries) Services (location-specific, on-time, personalized information) Maps, other info Application Server

February 3, Role of DBMSs in LBSs Database Management Systems play a very important role in such systems. Different types of interrelated information must be stored and maintained in databases: Continuously changing positions of moving objects, Geographic information describing roads, building, other infrastructure, Other non-geographic information related to geographic objects. New types of queries

February 3, DBMS Research Issues in LBS Either these issues has been addressed in a rather abstract and theoretical setting or working prototypes have been developed with rather simple functionality. It would be interesting to take a middle ground, and see how more interesting (complex) LBS functionality can be implemented on top of existing commercial DBMS (Oracle).

February 3, NN Queries in Road-Nets Scenarios: Car driver would like to find nearest hotels, or A gas station that would like to find ten nearest cars Such queries are called Nearest Neighbor queries “Nearest” must be defined in terms of a road distance We do not want to report a hotel or a car that is on the other side of the river if there is no bridge nearby To process these queries on large amounts of data special index structures are used to index the positions of objects queried. Unfortunately this approach ignores the road network

February 3, NN Queries in Road-Nets How to process NN queries efficiently in road networks: Use an index to speed up finding of a rough candidate answer set, which is refined using the road information Store a other type of pre-computed information about the road network to help in search The goal of the project would be to explore what solution would be the most efficient, when implemented on top of Oracle: How a road network should represented in a data model? What indices should be created? What mix of SQL, PL/SQL, Java is best suited?

February 3, Continuous Queries Instead of just getting an answer when a query is asked, it would be nice to get an answer that is constantly maintained up to date as the data changes The gas station would like to know continuously, which are the ten closest cars, or Traffic control authority would like to constantly monitor the number of vehicles in specific areas of the city. Large amounts of answers to such continuous queries may need to be maintained

February 3, Continuous Queries On each update of the data, answers to all continuous queries have to be reconsidered Queries are indexed – they become “data”, and data updates become “queries” How to handle large amounts of such queries? How to handle more complex continuous queries (e.g., nearest neighbor queries) The goal of the project – to explore how continuous queries on moving objects can be most efficiently processed using Oracle.

February 3, Contact Simonas Šaltenis E1-215b