Towards Evaluating an Ontology-Based Data Matching Strategy for Retrieval and Recommendation of Security Annotations for Business Process Models

In the Trusted Architecture for Securely Shared Services (TAS3) EC FP7 project we have developed a method to provide semantic support to the process modeler during the design of secure business process models. Its supporting tool, called Knowledge Annotator (KA), is using ontology-based data matching algorithms and strategy in order to infer the recommendations the best fitted to the user design intent, from a dedicated knowledge base. The paper illustrates how the strategy is used to perform the similarity (matching) check in order to retrieve the best design recommendation. We select the security and privacy domain for trust policy specification for the concept illustration. Finally, the paper discusses the evaluation of the results using the Ontology-based Data Matching Framework evaluation benchmark.

[1]  Selmin Nurcan,et al.  Enterprise, Business-Process and Information Systems Modeling - 12th International Conference, BPMDS 2011, and 16th International Conference, EMMSAD 2011, held at CAiSE 2011, London, UK, June 20-21, 2011. Proceedings , 2011, BMMDS/EMMSAD.

[2]  Yan Tang,et al.  An Ontology-based Data Matching Framework: use Case Competency-based HRM , 2009, OM.

[3]  M. Patton.  Qualitative research and evaluation methods , 1980 .

[4]  Paolo Tonella,et al.  Supporting Ontology-Based Semantic Annotation of Business Processes with Automated Suggestions , 2009, BMMDS/EMMSAD.

[5]  Robert Meersman,et al.  Towards evaluating ontology based data matching strategies matching strategies, evaluation methodology and results , 2010, 2010 Fourth International Conference on Research Challenges in Information Science (RCIS).

[6]  H. S. Bhola,et al.  Evaluating "Literacy for Development" Projects, Programs and Campaigns. Evaluation Planning, Design and Implementation, and Utilization of Evaluation Results. UIE Handbooks and Reference Books 3. , 1990 .

[7]  Klemens Böhm,et al.  A Security Language for BPMN Process Models , 2011 .

[8]  Robert Meersman,et al.  An ontology engineering methodology for DOGMA , 2008 .

[9]  Klemens Böhm,et al.  Semantic Support for Security-Annotated Business Process Models , 2011, BMMDS/EMMSAD.

[10]  Robert Meersman,et al.  An ontology engineering methodology for DOGMA , 2008, Appl. Ontology.

[11]  Matthew A. Jaro,et al.  Probabilistic linkage of large public health data files. , 1995, Statistics in medicine.

[12]  Bhola,et al.  Evaluating “Literacy for Development” Projects, Programmes and Campaigns: Evaluation Planning, Design and Implementation, and Utilization of Evaluation Results , 1990 .

[13]  A. Oberweis,et al.  Automatic User Support for Business Process Modeling , 2006 .

[14]  Ingo Weber,et al.  User-Friendly Semantic Annotation in Business Process Modeling , 2007, WISE Workshops.

[15]  Ian Horrocks,et al.  The Semantic Web – ISWC 2010: 9th International Semantic Web Conference, ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected Papers, Part I , 2010, SEMWEB.

[16]  Amit P. Sheth,et al.  Ontology Alignment for Linked Open Data , 2010, SEMWEB.