Towards a Procedure for Assessing Supply Chain Risks Using Semantic Technology
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2013
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04B - Conference paper
Editors
Fred, Ana
Dietz, Jan L. G
Liu, Kecheng
Felipe, Joaquim
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Knowledge Discovery, Knowledge Engineering and Knowledge Management
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Knowledge Discovery, Knowledge Engineering and Knowledge Management (Communications in Computer and Information Science)
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Springer
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Berlin
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Abstract
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.
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330 - Wirtschaft
005 - Computer Programmierung, Programme und Daten
005 - Computer Programmierung, Programme und Daten
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English
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Published
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EMMENEGGER, Sandro, Knut HINKELMANN, Emanuele LAURENZINI und Barbara THÖNSSEN, 2013. Towards a Procedure for Assessing Supply Chain Risks Using Semantic Technology. In: Ana FRED, Jan L. G DIETZ, Kecheng LIU und Joaquim FELIPE (Hrsg.), Knowledge Discovery, Knowledge Engineering and Knowledge Management. Berlin: Springer. 2013. Knowledge Discovery, Knowledge Engineering and Knowledge Management (Communications in Computer and Information Science). Verfügbar unter: http://hdl.handle.net/11654/8939