Solving ill-defined problems is a complex activity governed by the search for knowledge. The contribution of this article consists of an algorithm for problem analysis and a discussion on the role the knowledge plays in such an analysis. The authors propose, (1) an algorithm guiding the user to move from an indefinite problem situation to obtain a clearer problem formulation, following a process inspired to the ARIZ approach for fixing physical contradictions, and (2) some strategies and tools for selecting, acquiring and finally modeling necessary information to improve the effectiveness in building the contradiction model. All those strategies have been implemented in a knowledge management tool called KOM, working as an automatic patent searching engine based on functional oriented search. An exemplary application is presented to exp
(2012). Knowledge based approach for identifying TRIZ contradictions [conference presentation - intervento a convegno]. Retrieved from http://hdl.handle.net/10446/28479
Knowledge based approach for identifying TRIZ contradictions
RUSSO, Davide;MONTECCHI, Tiziano;
2012-01-01
Abstract
Solving ill-defined problems is a complex activity governed by the search for knowledge. The contribution of this article consists of an algorithm for problem analysis and a discussion on the role the knowledge plays in such an analysis. The authors propose, (1) an algorithm guiding the user to move from an indefinite problem situation to obtain a clearer problem formulation, following a process inspired to the ARIZ approach for fixing physical contradictions, and (2) some strategies and tools for selecting, acquiring and finally modeling necessary information to improve the effectiveness in building the contradiction model. All those strategies have been implemented in a knowledge management tool called KOM, working as an automatic patent searching engine based on functional oriented search. An exemplary application is presented to expFile | Dimensione del file | Formato | |
---|---|---|---|
DEWS_russo_montecchi.pdf
accesso aperto
Descrizione: publisher's version - versione dell'editore
Dimensione del file
7.04 MB
Formato
Adobe PDF
|
7.04 MB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo