@inproceedings{2b2a0dd5a3234667aa772a96b44b4688,
title = "A paradigm for coupling procedural and conceptual knowledge in companion systems",
abstract = "Companion systems are technical systems that adjust their functionality to the needs and the situation of an individual user. Consequently, companion systems are strongly knowledge-based. We propose a modelling paradigm for integrating procedural and conceptual knowledge which is targeted at companion systems that require a combination of planning and reasoning capabilities. The presented methodology couples the hierarchical task network (HTN) planning formalism with an ontology-based knowledge representation, thereby minimising redundancies in modelling and enabling the use of state-of-the-art reasoning and planning tools on the shared knowledge model. The approach is applied within a prototype of a companion system that assists novice users in the do-it-yourself (DIY) domain with the planning and execution of home improvement projects involving the use of power tools.",
author = "Marvin Schiller and Gregor Behnke and Mario Schmautz and Pascal Bercher and Matthias Kraus and Michael Dorna and Wolfgang Minker and Birte Glimm and Susanne Biundo",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Companion Technology, ICCT 2017 ; Conference date: 11-09-2017 Through 13-09-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/COMPANION.2017.8287072",
language = "English",
series = "2017 International Conference on Companion Technology, ICCT 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2017 International Conference on Companion Technology, ICCT 2017",
address = "United States",
}