Emmenegger, Sandro
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Integrating an Enterprise Architecture Ontology in a Case-Based Reasoning Approach for Project Knowledge
2013-11-08T00:00:00Z, Martin, Andreas, Emmenegger, Sandro, Wilke, Gwendolin
Improving supply-chain-management based on semantically enriched risk descriptions
2012-10-04T00:00:00Z, Emmenegger, Sandro, Laurenzini, Emanuele, Thönssen, Barbara
A Novel Software Toolkit for Graph Edit Distance Computation
2013-05-17T00:00:00Z, Riesen, Kaspar, Emmenegger, Sandro, Bunke, Horst
Towards a Procedure for Assessing Supply Chain Risks Using Semantic Technology
2013, Emmenegger, Sandro, Hinkelmann, Knut, Laurenzini, Emanuele, Thönssen, Barbara, Fred, Ana, Dietz, Jan L. G, Liu, Kecheng, Felipe, Joaquim
In the APPRIS project an Early-Warning-System (EWS) is developed applying semantic technologies, namely an enterprise ontology and an inference engine, for the assessment of procurement risks. Our approach allows for analyzing internal resources (e.g. ERP and CRM data) and external sources (e.g. entries in the Commercial Register and newspaper reports) to assess known risks, but also for identifying black swans, which hit enterprises with no warning but potentially large impact. For proof of concept we developed a prototype that allows for integrating data from various information sources, of various information types (structured and unstructured), and information quality (assured facts, news); automatic identification, validation and quantification of risks and aggregation of assessment results on several granularity levels. The motivating scenario is derived from three business project partners real requirements for an EWS.