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Authors: Safwan Sulaiman 1 ; Tariq Mahmoud 1 ; Stephan Robbers 1 ; Jorge Marx Gómez 1 and Joachim Kurzhöfer 2

Affiliations: 1 Oldenburg University, Germany ; 2 Lufthansa Industry Solutions, Germany

ISBN: 978-989-758-203-5

Keyword(s): User Interactions, Knowledge Extraction, Power User, Self Service, Business Intelligence.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Business Intelligence ; Knowledge Management and Information Sharing ; Knowledge Management Projects ; Knowledge-Based Systems ; Software Engineering ; Symbolic Systems ; Tools and Technology for Knowledge Management

Abstract: Business intelligence has been widely integrated in enterprises to help their employees in their decision making process by delivering the needed information at the right time. Statistics from Gartner Group showed that the investment in the business intelligence domain has recently been very high. However, different studies and market researches showed that the pervasiveness and the usage percentage rate of business intelligence are still very low. The reason behind that is the complexity of the usage of business intelligence systems. Moreover, enterprise users lack analytical skills. To mitigate this problem, a new concept of self-service business intelligence has been developed. Within this system, the knowhow of power user is extracted and delivered to business users in form of recommendations. In this paper, we present the conception and development of the tracing module of this new system. This module has the goal of tracing the interactions of power users as the first step to ex tract their procedural knowledge in form of analysis paths. This is done by creating a user interaction catalogue in which the interactions are defined based on their relevance to the knowledge extraction process. Finally, this paper presents the internal architecture of this tracing module and its components. (More)

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Paper citation in several formats:
Sulaiman S., Mahmoud T., Robbers S., Marx Gómez J. and Kurzhöfer J. (2016). A Tracing System for User Interactions towards Knowledge Extraction of Power Users in Business Intelligence Systems.In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2016) ISBN 978-989-758-203-5, pages 199-207. DOI: 10.5220/0006053601990207

@conference{kmis16,
author={Safwan Sulaiman and Tariq Mahmoud and Stephan Robbers and Jorge Marx Gómez and Joachim Kurzhöfer},
title={A Tracing System for User Interactions towards Knowledge Extraction of Power Users in Business Intelligence Systems},
booktitle={Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2016)},
year={2016},
pages={199-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006053601990207},
isbn={978-989-758-203-5},
}

TY - CONF

JO - Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, (IC3K 2016)
TI - A Tracing System for User Interactions towards Knowledge Extraction of Power Users in Business Intelligence Systems
SN - 978-989-758-203-5
AU - Sulaiman S.
AU - Mahmoud T.
AU - Robbers S.
AU - Marx Gómez J.
AU - Kurzhöfer J.
PY - 2016
SP - 199
EP - 207
DO - 10.5220/0006053601990207

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