Master theses

Web-scale discovery of geospatial data

Keywords: Data Retrieval, Linked Data, Indexing, Semantic Web

Supervision: Pieter Colpaert Ruben Verborgh

Students: max 1

To effectively allow machines to discover data about certain locations, we need to be able to efficiently query data using certain geospatial ranges. In this thesis, you have to design a solution that allows data to be looked up on the Web given certain geospatial ranges, this should be combinable with various other data sources on the Web to allow more complex queries to be answered. This will make it possible to ask questions like “Which bars are present that serve beer in a 5 km radius around my current locations?”, or “What is the closest bike repair shop between my home and the train station?” You can build on existing work for Web querying, such as Linked Data Fragments.

Building a solution allowing data to be queried using certain geospatial ranges. Combining this data with other fragments on data on the Web to enable more complex queries. Evaluation of this solution compared to alternative approaches.