SENTINEL: a semantic business process monitoring tool

Business Activity Monitoring (BAM) aims to support the real-time analysis of business processes in order to improve the speed and effectiveness of business operations. Providing a timely, integrated high-level view on the evolution and well-being of business activities within enterprises constitutes a highly valuable analytical tool for monitoring, managing and hopefully enhancing businesses. However, the degree of automation currently achieved cannot support the level of reactivity and adaptation demanded by businesses. We argue that the fundamental problem is that moving between the business level and the IT level is insufficiently automated and suggest an extensive use of semantic technologies as a solution. In particular, we present SENTINEL a Semantic Business Process Monitoring tool that advances the state of the art in BAM by making extensive use of semantic technologies in order to support the integration and derivation of business level knowledge out of low-level audit trails generated by IT systems.

[1]  Michal Zaremba,et al.  Semantic execution environments for semantics-enabled SOA , 2008 .

[2]  Wil M. P. van der Aalst,et al.  Semantic Process Mining Tools: Core Building Blocks , 2008, ECIS.

[3]  Hyerim Bae,et al.  Customizable Workflow Monitoring , 2003, Concurr. Eng. Res. Appl..

[4]  Alan R. Hevner,et al.  Integrated decision support systems: A data warehousing perspective , 2007, Decis. Support Syst..

[5]  M. Kaczmarek,et al.  Organization Structure Description for the Needs of Semantic Business Process Management , 2008 .

[6]  Ueli Wahli,et al.  Business Process Management: Modeling Through Monitoring (Ibm Redbooks) , 2006 .

[7]  Michael Zur Muehlen,et al.  Workflow-based Process Controlling - Or: What You Can Measure You Can Control , 2001 .

[8]  Fabio Casati,et al.  Business Process Cockpit , 2002, VLDB.

[9]  Alexander Schatten,et al.  Probing and Monitoring of WSBPEL Processes with Web Services , 2006, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06).

[10]  Boudewijn F. van Dongen,et al.  The ProM Framework: A New Era in Process Mining Tool Support , 2005, ICATPN.

[11]  Bill Hostmann,et al.  Magic Quadrant for Business Intelligence Platforms , 2012 .

[12]  Gregor Hohpe,et al.  Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions , 2003 .

[13]  Barbara Wixom,et al.  The Current State of Business Intelligence , 2007, Computer.

[14]  Jos de Bruijn,et al.  Enabling Semantic Web Services: The Web Service Modeling Ontology , 2006 .

[15]  Surajit Chaudhuri,et al.  Database Technology for Decision Support Systems , 2001, Computer.

[16]  Jaap Gordijn,et al.  Designing and evaluating e-business models , 2001 .

[17]  Dieter Fensel,et al.  Knowledge Engineering: Principles and Methods , 1998, Data Knowl. Eng..

[18]  Enrico Motta,et al.  Reusable Components for Knowledge Modelling: Case Studies in Parametric Design Problem Solving , 1999 .

[19]  R. Kaplan,et al.  The balanced scorecard--measures that drive performance. , 2015, Harvard business review.

[20]  Sebastian Stein,et al.  A BPMO Based Semantic Business Process Modelling Environment , 2007, SBPM.

[21]  Frank Leymann,et al.  BPEL for Semantic Web Services (BPEL4SWS) , 2007, OTM Workshops.

[22]  Mihail Konstantinov,et al.  WSMO Studio - A Semantic Web Services Modelling Environment for WSMO , 2007, ESWC.

[23]  Luciano Baresi,et al.  Towards Dynamic Monitoring of WS-BPEL Processes , 2005, ICSOC.

[24]  Jeff McAffer,et al.  The Eclipse 3.0 platform: Adopting OSGi technology , 2005, IBM Syst. J..

[25]  Thomas R. Gruber,et al.  A translation approach to portable ontology specifications , 1993, Knowl. Acquis..

[26]  Enrico Motta,et al.  Reusable components for knowledge modelling , 1998 .

[27]  Silvana Castano,et al.  Using Patterns to Design Rules in Workflows , 2000, IEEE Trans. Software Eng..

[28]  John Domingue,et al.  A Core Ontology for Business Process Analysis , 2008, ESWC.

[29]  Witold Abramowicz,et al.  Semantically enhanced Business Process Modelling Notation , 2007, SBPM.

[30]  Dieter Fensel,et al.  Implementing Semantic Web Services: The SESA Framework , 2008 .

[31]  Guus Schreiber,et al.  Knowledge Engineering and Management: The CommonKADS Methodology , 1999 .

[32]  John Domingue,et al.  An Outlook on Semantic Business Process Mining and Monitoring , 2007, OTM Workshops.

[33]  Fabio Casati,et al.  A Comprehensive and Automated Approach to Intelligent Business Processes Execution Analysis , 2004, Distributed and Parallel Databases.

[34]  Charles J. Petrie.  The TOVE Project: Towards a Common-Sense Model of the Enterprise , 1992 .

[35]  Javier Jaen-Martinez.  The Java Management Extensions (JMX) , 2000 .

[36]  A. V. Wijk,et al.  Business process management , 2009 .

[37]  Andreas Meier,et al.  Computer-based Performance Measurement in SMEs: Is there any option? , 2000, ICSTM.

[38]  Michael Uschold,et al.  The Enterprise Ontology , 1998, The Knowledge Engineering Review.

[39]  Jan Mendling,et al.  Business Process Intelligence , 2009, Handbook of Research on Business Process Modeling.

[40]  Mathias Weske,et al.  Business Process Management: A Survey , 2003, Business Process Management.

[41]  Dieter Fensel,et al.  Semantic business process management: a vision towards using semantic Web services for business process management , 2005, IEEE International Conference on e-Business Engineering (ICEBE'05).

[42]  Detlef D. Nauck,et al.  Real Time Business Intelligence for the Adaptive Enterprise , 2006, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06).

[43]  John Domingue,et al.  IRS-III: A broker-based approach to semantic Web services , 2008, J. Web Semant..