RTEC

RTEC: Run-Time Event Calculus.

RTEC is an extension of the Event Calculus that supports highly-scalable stream processing. It is written in Prolog and has been tested under YAP 6.2.

License

RTEC comes with ABSOLUTELY NO WARRANTY. This is free software, and you are welcome to redistribute it under certain conditions; see the GNU Lesser General Public License v3 for more details.

Features

• Interval-based.
• Sliding window reasoning.
• Interval manipulation constructs for non-inertial fluents.
• Caching for hierarchical knowledge bases.
• Support for out-of-order data streams.
• Indexing for robustness to irrelevant data.

File Description

To run RTEC you need the files in the /src directory.

The /examples directory is optional and includes CE patterns and sample datasets from the applications of RTEC.

Documentation

• User manual of RTEC.
• Artikis A., Sergot M. and Paliouras G. An Event Calculus for Event Recognition. IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(4):895-908, 2015.

Applications

RTEC has been used for event recogniton for:

• City transport & traffic management.
• Public space surveillance.
• Maritime surveillance. Complete datasets for some of these applications are available from my site.

Related Software

• OLED: Online Learning of Event Definitions. OLED automatically constructs Event Calculus rules, such as complex event patterns, from annotated data streams.
• LoMRF: Library for Markov Logic Networks. LoMRF supports Event Calculus reasoning under uncertainty.
• ScaRTEC: A Scala implementation of RTEC.

RTECv2

This an experimental, not properly tested extension of RTEC that supports cycles and deadlines.

Applications

Voting for Multi-Agent Systems

In /examples there is a formalisation of a voting protocol for multi-agent systems that includes cycles and deadlines. To test it, navigate to

**/examples/voting/experiments/queries/setting-1**

launch YAP by typing

yap -l mass-queries.prolog

and then type in YAP

YAP> performFullER('sometextfile', 10, 10, 20).

YAP> holdsFor(F,I), not I=[].

The assimilated narative is

**/examples/voting/experiments/data/stream.prolog**

while the constants used for grounding are

**/examples/voting/experiments/data/static_information.prolog**

Business Processes

In /examples there is also a toy formalisation of business processes. To test it, navigate to

**/examples/BPM/experiments/queries/setting-1**

launch YAP by typing

yap -l mass-queries.prolog

and then type in YAP

YAP> performFullER('sometextfile', 327240000, 327240000, 327240000).

YAP> holdsFor(F,I), not I=[].

The assimilated narative and the constants for grounding are in

**/examples/BPM/experiments/data/event_logprolog**