Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support

Stefano Pinardi; Fabio Sartori; Riccardo Melen

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Paper

Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support

In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KITA, 307-313, 2016 , Porto, Portugal

Authors: Stefano Pinardi ; Fabio Sartori and Riccardo Melen

Affiliation: University of Milano-Bicocca, Italy

Keyword(s): Inertial Measurement Unit, Android, Wearable Devices, Recommendation Systems, Knowledge Artifacts.

Abstract: Modern wearable devices provide new opportunities for the development of knowledge artifacts and decision support systems. In this paper we present a recent development of KAFKA, a knowledge engineering methodology based on knowledge artifact notion, that make it able to manage real-time data detected and analyzed by means of Inertial Measurement Units sensors, mounted on Android wearables. This improvement makes KAFKA suitable to deal with many domains where real-time data are necessary, in particular the health-care and rehabilitation ones.

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Paper citation in several formats:

Pinardi, S., Sartori, F. and Melen, R. (2016). Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support. In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KITA; ISBN 978-989-758-203-5; ISSN 2184-3228, SciTePress, pages 307-313. DOI: 10.5220/0006091203070313

@conference{kita16,
author={Stefano Pinardi and Fabio Sartori and Riccardo Melen},
title={Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KITA},
year={2016},
pages={307-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006091203070313},
isbn={978-989-758-203-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - KITA
TI - Integrating Knowledge Artifacts and Inertial Measurement Unit Sensors for Decision Support
SN - 978-989-758-203-5
IS - 2184-3228
AU - Pinardi, S.
AU - Sartori, F.
AU - Melen, R.
PY - 2016
SP - 307
EP - 313
DO - 10.5220/0006091203070313
PB - SciTePress