Semantic BPMN - Business Process Management the wiki way
|SMWCon Fall 2018|
|Semantic BPMN - Business Process Management the wiki way|
|Description:||Semantic Wiki + BPMN 2.0 Editor: A strong team to establish a culture of continual improvement and sustainable business processes.|
|Audience:||Business people, Academics|
|Event start:||2018/12/12 14:00:00|
|Event finish:||2018/12/12 14:30:00|
|Keywords:||BPMN, Business Process Management, Quality Management|
The Business Process Model and Notation (BPMN) specification provides a graphical notation for specifying business processes in business process diagrams. BPMN has become the de-facto standard for business processes diagrams. The goal of BPMN is to provide a notation that is readily understandable by all business users, from the business analysts that create the initial drafts of the processes, to the technical developers responsible for implementing the technology that will execute those processes, but at the same time be precise enough to allow BPMN diagrams to be executed by software workflow engines. Thus, BPMN creates a standardized bridge for the gap between the business process design and process implementation.
A Wiki is the tool of choice for creating, sharing and collaborating on content all in one place. With a wiki, users can easily publish, organize and access company information. A wiki with built-in BPMN editor forms the perfect symbiosis for sustainable business process management.
In this talk, Alexander Gesinn presents a way for collaborative modeling, discussing and sharing BPMN (Business Process Model and Notation) processes directly in MediaWiki. Semantic MediaWiki and Page Forms are used to facilitate the input of information and semantic annotation for processes and process elements.
Through the use of semantic technologies, we combine the agile way of documenting using wikis with the management of structured data known from databases. Semantics describe the meaning of information in a machine-readable form, integrate process relevant information, structure knowledge and record complex relationships.