Showing papers by "Alexander Artikis published in 2023"
TL;DR: In this paper , an Event Calculus dialect optimized for online complex event recognition with Allen's interval algebra is extended to provide more accurate event patterns and demonstrated the effectiveness of the system on real data streams from maritime situational awareness.
Abstract: Contemporary applications require the processing of large, high-velocity streams of symbolic events derived from sensor data. A complex event recognition (CER) system processes these symbolic events online and reports the satisfaction of complex event patterns with minimal latency. We extend an Event Calculus dialect optimised for online CER with Allen’s interval algebra, in order to provide more accurate event patterns. We demonstrate the effectiveness of our system on real data streams from maritime situational awareness.
Proceedings Article•
TL;DR: A survey of AIS data analytics techniques for shipping business decision-making is presented in this paper , where the authors provide an indicative categorization of the areas where AIS Data Analytics may assist in strategic decision making, based on the costs that a shipping business needs to cover.
Abstract: We present a survey of AIS data analytics techniques for shipping business decision-making. Our survey provides an indicative categorization of the areas where AIS data analytics may assist in strategic decision-making, based on the costs that a shipping business needs to cover. These areas include chartering and freight markets, vessel operation and environmental footprint. Our survey is useful both as a catalogue of existing research, as well as a critical evaluation of the field. The use of AIS data has facilitated the state-of-practice in shipping business decision-making. Furthermore, enriching AIS data with other data sources is necessary more often than not.