S-TEN D2.1: Cover Page


Ontology for self-describing networks	S-TEN D2.1

S-TEN D2.1
Ontology for self-describing networks

ACKNOWLEDGEMENT:
This document has been produced within the EU co-funded project Intelligent Self-describing Technical and Environmental Networks (S-TEN), contract nunber: FP6-027683. The contribution from the EU is gratefully acknowledged.

COPYRIGHT NOTICE:
The copyright of this document is owned by the S-TEN Association e.V.. This document is a public deliverable of the S-TEN project and may be freely reproduced.

ABSTRACT:
This document specifies an ontology for describing a physical network. This ontology can be used by intelligent devices to publish information about their existence and state.

This ontology encompasses measurements made by sensors within a network and the storage and processing of measurements.

This ontology is intended to enable the use of inferencing to support activities carried out upon a network, including operations and maintenance.

KEYWORDS:
ontology, network, intelligent, sensor, measurement, inferencing, operations, maintenance

AUTHORS:

David Leal Address: CAESAR Systems Limited 29 Somertrees Avenue Lee, London, SE12 0BS UK Tel: +44 20 8857 1095 E-mail: david.leal@caesarsystems.co.uk	Andrea Schröder Address: Forschungsgemeinschaft für Elektrische Anlagen und Stromwirtschaft e.V. (FGH) Hallenweg 40 68219 Mannheim Germany Tel: +49 (0)621 8047 130 E-mail: andrea.schroeder@fgh-ma.de
Iñaki Laresgoiti Address: Fundacion Labein Parque Tecnológico de Bizkaia, 48160 Derio Bilbao Spain Tel: +34 94 4892400 E-mail: lares@labein.es	Thomas Dreyer Address: Aucotec AG Max-Stromeyer-Str. 172 78467 Konstanz Germany Tel: +49 7531 9847 0 E-mail: thd@aucotec.com