PeaCE-Ful Web Event Extraction and Processing

Abstract

PeaCE, our proposed tool, integrates complex event processing and web extraction into a unified framework to handle web event advertisements and to run a notification service atop. Its bitemporal schemata distinguish occurrence and detection time, enabling PeaCE to deal with updates and delayed announcements, as often occurring on the web. To consolidate the arising event streams, PeaCE combines simple events into complex ones. Depending on their occurrence and detection time, these complex events trigger actions to be executed.

We demonstrate PeaCE’s capabilities with a business trip scenario, involving as raw events business trips, flight bookings, scheduled flights, and flight arrivals and departures. These events are scrapped from the web and combined into complex events, triggering actions to be executed, such as updating facebook status messages. Our demonstrator records and reruns event sequences at different speeds to show the system dealing with complex scenarios spanning several days.

The research leading to these results has received funding from the European Research Council under the European Community’s Seventh Framework Programme (FP7/2007-2013) / ERC grant agreement DIADEM, no. 246858. Michael Huemer has been supported by a Marietta Blau Scholarship granted by the Austrian Federal Ministry of Science and Research (BMWF) for a research stay at Oxford University’s Department of Computer Science.