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teaching:projh402 [2020/10/01 13:55] mahmsakr [Spatiotemporal k-Nearest Neighbour (kNN) Queries] |
teaching:projh402 [2020/10/01 16:57] ezimanyi [Course objective] |
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| ===== Course objective ===== | ===== Course objective ===== | ||
| - | The course PROJ-H-402 is managed by Dr. Mauro Birattari. Please refer to the course description page http://iridia.ulb.ac.be/proj-h-402/index.php/Main_Page for the rules concerning the project. What follows is a list of project proposals supervised by academic members of CoDE. | + | The course PROJ-H-402 is managed by Dr. Mauro Birattari. Please refer to the course description page http://iridia.ulb.ac.be/proj-h-402/index.php/Main_Page for the rules concerning the project. What follows is a list of project proposals supervised by academic members of the WIT laboratory. |
| ===== Projects in Mobility Databases ===== | ===== Projects in Mobility Databases ===== | ||
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| - | ===== Visualization Moving Objects on the Web ===== | + | ===== Visualization of Moving Objects on the Web ===== |
| - | <TBD> | + | There are several open source platforms for publishing spatial data and interactive mapping applications to the web. Two populars ones are [[https://mapserver.org/|MapServer]] and [[http://geoserver.org/|GeoServer]], which are written, respectively, in C and in Java. |
| + | Newer platforms exists, such as [[https://kepler.gl/|kepler.gl]], which were designed for handling large-scale data sets. | ||
| + | However, these platforms are used for static spatial data and are unable to cope with moving objects. The goal of the project is to extend one of these platforms with spatio-temporal data types in order to be able to display animated maps. | ||
| ===== Implementing TSBS on MobilityDB ===== | ===== Implementing TSBS on MobilityDB ===== | ||
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| to find the three closest gas stations to the vehicle at any time instant during its trip from source to destination. According to the location of the vehicle, the set of three nearest gas stations can change. The result is thus a set of intervals, where very interval is associated with a set of three gas stations. The challenge in this type of query is to find an efficient incremental way of evaluation. | to find the three closest gas stations to the vehicle at any time instant during its trip from source to destination. According to the location of the vehicle, the set of three nearest gas stations can change. The result is thus a set of intervals, where very interval is associated with a set of three gas stations. The challenge in this type of query is to find an efficient incremental way of evaluation. | ||
| - | The goal of the project is to survey the state of art in continuous kNN queries, and to prototype selected methods in MobilityDB. | + | The goal of the project is to survey the state of art in continuous kNN queries, and to prototype selected methods in MobilityDB. Since it is a complex problem, these outcomes should serve as a base for a more elaborate thesis project. |