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Identifier 000408110
Title Semantic Annotations for BPMN models : extending SeMFIS for supporting ontology reasoning and query functionalities
Alternative Title Σημασιολογικές υποσημειώσεις σε BPMN μοντέλα: επεκτείνοντας το SeMFIS για την υποστήριξη εξαγωγής συμπερασμάτων και επερωτήσεων σε οντολογίες
Author Δημητράκη, Αικατερίνη Κ.
Thesis advisor Πλεξουσάκης, Δημήτρης
Reviewer Φουντουλάκη, Ειρήνη
Σαββίδης, Αντώνιος
Abstract Business process models are a sequential representation of all functions associated with a specific business activity. In implementing business process modelling, there are many techniques that have been tried and tested throughout the years. Business Process Modelling Notation (BPMN) is the global standard for process modeling and provides a standard notation that is readily understandable by management personnel, analysts and developers. The original intent of BPMN was to help bridge communication gaps that often exist between the various departments within an organization or enterprise, by providing a notation that is intuitive to business users, yet able to represent complex process semantics. Here we will discuss the approach of enriching the existing standards, with semantic information provided by OWL ontologies. Business Process annotation with semantic tags taken from an ontology is becoming a crucial activity for business designers. In fact, semantic annotations help business process comprehension, documentation, analysis and evolution. For this purpose there is an ongoing research and several software tools have been developed to support this approach. SeMFIS tool is an open and extensible platform for engineering semantic annotations of conceptual models. We decided to extend SeMFIS to support consistency check on OWL ontology models, created for annotate BPMN process models, with the use of HermiT reasoner and a feature to allow user uploading his ontology with its instances and properties on Openlink Virtuoso engine and query them with SPARQL language. Creating a meat supply chain process model and a meat supply chain OWL ontology that enriches the process model with information necessary for traceability purposes, helps us understand the need for annotations and for features which process them.
Language English
Issue date 2017-03-17
Collection   School/Department--School of Sciences and Engineering--Department of Computer Science--Post-graduate theses
  Type of Work--Post-graduate theses
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