Semantic process mining tools: core building blocks

de Medeiros, Ana Karla Alves; van der Aalst, Wil and Pedrinaci, Carlos (2008). Semantic process mining tools: core building blocks. In: 16th European Conference on Information Systems, 9-11 June 2008, Galway, Ireland.

Full text available as:

Preview

PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader Download (748Kb)

URL:	http://is2.lse.ac.uk/asp/aspecis/20080169.pdf
Google Scholar:	Look up in Google Scholar

Abstract

Process mining aims at discovering new knowledge based on information hidden in event logs. Two important enablers for such analysis are powerful process mining techniques and the omnipresence of event logs in today's information systems. Most information systems supporting (structured) business processes (e.g. ERP, CRM, and workflow systems) record events in some form (e.g. transaction logs, audit trails, and database tables). Process mining techniques use event logs for all kinds of analysis, e.g., auditing, performance analysis, process discovery, etc. Although current process mining techniques/tools are quite mature, the analysis they support is somewhat limited because it is purely based on labels in logs. This means that these techniques cannot benefit from the actual semantics behind these labels which could cater for more accurate and robust analysis techniques. Existing analysis techniques are purely syntax oriented, i.e., much time is spent on filtering, translating, interpreting, and modifying event logs given a particular question. This paper presents the core building blocks necessary to enable semantic process mining techniques/tools. Although the approach is highly generic, we focus on a particular process mining technique and show how this technique can be extended and implemented in the ProM framework tool.

Item Type:	Conference Item
Copyright Holders:	2008 The Authors
Keywords:	semantic process mining; semantics-supported business intelligence; semantic business process management; semantic auditing
Academic Unit/Department:	Knowledge Media Institute
Item ID:	23397
Depositing User:	Kay Dave
Date Deposited:	05 Oct 2010 11:17
Last Modified:	24 Oct 2012 12:53
URI:	http://oro.open.ac.uk/id/eprint/23397

Actions (login may be required)

	View Item
RDF+XMLBibTeXRDF+N-TriplesJSONDublin CoreAtomOAI-ORE Resource Map (Atom Format)Simple MetadataReferMETSOAI-ORE Resource Map (RDF Format)HTML CitationASCII CitationMultiline CSVRefMan RIS Format (UTF-8)OpenURL ContextObjectEndNoteMODSOpenURL ContextObject in SpanMPEG-21 DIDLEP3 XMLRefMan RIS FormatRDF+N3Eprints Application Profile	Public: Report issue / request change