| Popis: |
In recent years, we are facing a significant increase in the collection and availability of geospatial data. This type of data is paramount to help decision makers in different contexts, such as smart cities, mobile social networks, and e-commerce. In addition, the behavior of mobile users can be extracted and exploited to improve the quality of the services offered by mobile providers. However, raw location data needs to be semantically enriched to be useful, which is an arduous task because it requires queries on different data sources of different formats and complex joins. To mitigate this difficulty, this work proposes MoreData, a flexible and expandable framework for the semantic enrichment of geospatial data. The framework accepts different input formats, provides connectors to different sources (APIs, Relational Database, Fast Search Engine Tool, and Open Street Map), and is easy to extend to new sources. To evaluate the framework's benefits, we use it to enrich a real database comprised of thousands of mobile users' locations with data. We observe that the adoption of the framework leads to less time and effort in the data enrichment process, saving time for the more important tasks, such as building and analyzing models. |
