Agnieszka Lawrynowicz

Dynamic and contextualised behavioural knowledge in autonomic communications

The conceptual architecture of autonomic communications requires a knowledge layer to facilitate effective, transparent and high level self-management capabilities. This pervasive knowledge plane can utilise the behaviour of autonomic communication regimes to monitor and intervene at many differing levels of network granularity. This paper discusses autonomic computing and autonomic communication, before outlining the role of behavioural knowledge in autonomic networks. Some research issues, in particular the concept of dynamic context as a method to acquire knowledge dynamically that will help to facilitate a successful realisation of the knowledge plane are explored and discussed.

Inductive Reasoning and Machine Learning for the Semantic Web

Claudia d’Amato a, Nicola Fanizzi a, Marko Grobelnik b, Agnieszka Lawrynowicz c and Vojtech Svatek d a Department of Computer Science – University of Bari, Italy E-mail: {claudia.damato,nicola.fanizzi}@uniba.it b Jozef Stefan Institute, Ljubljana, Slovenia E-mail: marko.grobelnik@ijs.si c Poznan University of Technology, Poland E-mail: agnieszka.lawrynowicz@cs.put.poznan.pl d University of Economics, Prague, Czech Republic E-mail: svatek@vse.cz

K-CAP2017 Satellites: Workshops and Tutorials

ACM Reference Format: Carlos Badenes, Ronald Denaux, Martine De Vos, Daniel Garijo, Jose Manuel Gomez-Perez, Agnieszka Lawrynowicz, Pasquale Lisena, Raul Palma, Raphaël Troncy, and Daniel Vila. 2017. K-CAP2017 Satellites Workshops and Tutorials. In K-CAP 2017: K-CAP 2017: Knowledge Capture Conference CD-ROM, December 4–6, 2017, Austin, TX, USA. ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3148011.3188410