188/4 E-Commerce Group
Institute of Software Technology and Interactive Systems
Vienna University of Technology
Favoritenstrasse 9-11/188, A-1040 Vienna, Austria

An ontology based framework for enriching event log data

Type: 
Speech with proceedings
Abstract: 
Using process-aware information systems in enterprises is becoming popular in the business environment. The systems have the capability to generate event log data that capture information about what is practically happening within enterprises. Event log data is used for process mining to extract the hidden knowledge which can assist the manager in business process management. However, the knowledge hidden in event logs would be more useful if the event logs are enriched by relevant external data sources. In this paper, we propose an approach to enrich event logs with external data sources by using ontology based data integration. We use databaseto-ontology mapping techniques to integrate data sources and use semantic reasoning techniques for inferring the knowledge hidden in the data sources. A framework for the approach, illustrating examples for the implementation and expected results are presented in this paper.
Hidden Keywords: 
Department Focus: 
Business Informatics
TU Focus: 
Information and Communication Technology
Proceedings: 
SEMAPRO 2011, The Fifth International Conference on Advances in Semantic Processing
Publisher: 
ThinkMind
Year: 
2011
ISBN: 
ISBN: 978-1-61208-175-5
Pages: 
110 - 115
Accepted: 
Acceptance undecided
Invited: 
Reference: 
<u>T. Tran Thi Kim</u>, H. Werthner: <br>"<i><a href="http://publik.tuwien.ac.at/files/PubDat_201966.pdf" target="_blank" class="publist">An ontology based framework for enriching event log data</a></i>"; <br>Talk: SEMAPRO 2011, The Fifth International Conference on Advances in Semantic Processing, Lisbon, Portugal; 11-20-2011 - 11-25-2011; in: "<i>SEMAPRO 2011, The Fifth International Conference on Advances in Semantic Processing</i>", ThinkMind, (2011), ISBN: 978-1-61208-175-5; 110 - 115.<br><br> <a href="https://publik.tuwien.ac.at/showentry.php?ID=201966&lang=2" class="publist"><i>More information</i></a><br><br>
Abstract German: