Abstract | ||
---|---|---|
We present a system for online composite event recognition over streaming positions of commercial vehicles. Our system employs a data enrichment module, augmenting the mobility data with external information, such as weather data and proximity to points of interest. In addition, the composite event recognition module, based on a highly optimised logic programming implementation of the Event Calculus, consumes the enriched data and identifies activities that are beneficial in fleet management applications. We evaluate our system on large, real-world data from commercial vehicles, and illustrate its efficiency. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1017/S147106841900022X | THEORY AND PRACTICE OF LOGIC PROGRAMMING |
Keywords | Field | DocType |
Event Pattern Matching,Event Calculus,Data Enrichment | Computer science,Theoretical computer science,Human–computer interaction,Event recognition | Journal |
Volume | Issue | ISSN |
19 | SP5-6 | 1471-0684 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Efthimis Tsilionis | 1 | 0 | 0.34 |
Nikolaos Koutroumanis | 2 | 3 | 3.14 |
Panagiotis Nikitopoulos | 3 | 4 | 3.49 |
Christos Doulkeridis | 4 | 899 | 55.91 |
Alexander Artikis | 5 | 1142 | 82.51 |