Data di Pubblicazione:
2018
Citazione:
(2018). Tech-Finder: a Dynamic Pointer to Effects . In INNOVATOR. Retrieved from http://hdl.handle.net/10446/116287
Abstract:
The dynamic pointer to effect is an IR tool that searches for a scientific effect capable of providing the required function. At difference from static pointers which are entirely pre-built databases, the dynamic type is based on the integration of a pre-built effects library with a semantic search engine that scans technical and scientific literature in order to suggest documents describing relevant effects to realize a certain function. As result, the search engine can use any function in form of a pair verb-object, where the relations between functions and effects are always updated with the updating of the literature and the suggested list of effects is always tailored only on the specific function of the user, avoiding huge lists that make the tool unusable for low precision. The key aspect of the dynamic database is that recall and precision problems can be decoupled, in fact, recall depends on the completeness of effect library and the expansion of the query, while precision is affected by the IR algorithms of the search engine.
The present article presents a comparison of the most representative pointers to effects (developed by Altshuller and later) together with an analysis of the open problems and main limitations of these tools shown on three case studies selected in order to bring out the main limitations of effects databases.
The present article presents a comparison of the most representative pointers to effects (developed by Altshuller and later) together with an analysis of the open problems and main limitations of these tools shown on three case studies selected in order to bring out the main limitations of effects databases.
Tipologia CRIS:
1.4.01 Contributi in atti di convegno - Conference presentations
Elenco autori:
Russo, Davide; Montecchi, Tiziano; Caputi, Antonio
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Titolo del libro:
Selected papers presented at the 16th International TRIZ Future Conference, October 24-27, 2016, Wroclaw, Poland