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Authors: Kyriakos Kritikos 1 ; Dimitris Plexousakis 1 and Robert Woitsch 2

Affiliations: 1 FORTH, Greece ; 2 BOC, Austria

ISBN: 978-989-758-243-1

Keyword(s): KPI, Semantics, Ontologies, Quality, QoS, Linked Data, Analysis, SPARQL.

Abstract: Linked Data (LD) represent a great mechanism towards integrating information across disparate sources. The respective technology can also be exploited to perform inferencing for deriving added-value knowledge. As such, LD technology can really assist in performing various analysis tasks over information related to business process execution. In the context of Business Process as a Service (BPaaS), the first real challenge is to collect and link information originating from different systems by following a certain structure. As such, this paper proposes two main ontologies that serve this purpose: a KPI and a Dependency one. Based on these well-connected ontologies, an innovative Key Performance Indicator (KPI) analysis system is then built which exhibits two main analysis capabilities: KPI assessment and drill-down, where the second can be exploited to find root causes of KPI violations. Compared to other KPI analysis systems, LD usage enables the flexible construction and assessment of any KPI kind allowing experts to better explore the possible KPI space. (More)

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Paper citation in several formats:
Kritikos, K.; Plexousakis, D. and Woitsch, R. (2017). Towards Semantic KPI Measurement.In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-243-1, pages 91-102. DOI: 10.5220/0006238000910102

@conference{closer17,
author={Kyriakos Kritikos. and Dimitris Plexousakis. and Robert Woitsch.},
title={Towards Semantic KPI Measurement},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2017},
pages={91-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006238000910102},
isbn={978-989-758-243-1},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Towards Semantic KPI Measurement
SN - 978-989-758-243-1
AU - Kritikos, K.
AU - Plexousakis, D.
AU - Woitsch, R.
PY - 2017
SP - 91
EP - 102
DO - 10.5220/0006238000910102

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