Towards a procedure for assessing supply chain risks using semantic technologies
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Autor:in (Körperschaft)
Publikationsdatum
2013
Typ der Arbeit
Studiengang
Typ
04B - Beitrag Konferenzschrift
Herausgeber:innen
Herausgeber:in (Körperschaft)
Betreuer:in
Übergeordnetes Werk
Knowledge Discovery, Knowledge Engineering and Knowledge Management. 4th International Joint Conference, IC3K 2012, Barcelona, Spain, October 4-7, 2012. Revised Selected Papers
Themenheft
DOI der Originalpublikation
Link
Zugehörige Forschungsdaten
Reihe / Serie
Communications in Computer and Information Science
Reihennummer
415
Jahrgang / Band
Ausgabe / Nummer
Seiten / Dauer
393-409
Patentnummer
Verlag / Herausgebende Institution
Springer
Verlagsort / Veranstaltungsort
Cham
Auflage
Version
Programmiersprache
Abtretungsempfänger:in
Praxispartner:in/Auftraggeber:in
Zusammenfassung
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.
Schlagwörter
Fachgebiet (DDC)
Veranstaltung
International Joint Conference on Knowledge Discovery, Knowledge Engineering, and Knowledge Management
Startdatum der Ausstellung
Enddatum der Ausstellung
Startdatum der Konferenz
Enddatum der Konferenz
Datum der letzten Prüfung
ISBN
978-3-642-54104-9
978-3-642-54105-6
978-3-642-54105-6
ISSN
Sprache
Englisch
Während FHNW Zugehörigkeit erstellt
Ja
Zukunftsfelder FHNW
Publikationsstatus
Veröffentlicht
Begutachtung
peer-reviewed
Open Access-Status
Closed
Lizenz
Zitation
Emmenegger, S., Hinkelmann, K., Laurenzi, E., & Thönssen, B. (2013). Towards a procedure for assessing supply chain risks using semantic technologies. In A. Fred, J. Dietz, K. Liu, & J. Filipe (Eds.), Knowledge Discovery, Knowledge Engineering and Knowledge Management. 4th International Joint Conference, IC3K 2012, Barcelona, Spain, October 4-7, 2012. Revised Selected Papers (pp. 393–409). Springer. https://doi.org/10.1007/978-3-642-54105-6_26