Tenders are powerful means of investment of public funds and represent a strategic development resource. Thus, improving the efficiency of procuring entities and developing evaluation models turn out to be essential to facilitate e-procurement procedures. With this contribution, we present our preliminary research to create a supporting system for the decision-making and monitoring process for the entire course of investments and contracts (SIAP). This system employs artificial intelligence techniques based on natural language processing and machine learning, focused on providing instruments for extracting useful information from both structured and unstructured (i.e., text) data.
AI-based Decision Support Systems for the Management of E-procurement Procedures
Lops P.
;Lopane N.;Siciliani L.
;Taccardi V.;Ghizzota E.;Semeraro G.
2022-01-01
Abstract
Tenders are powerful means of investment of public funds and represent a strategic development resource. Thus, improving the efficiency of procuring entities and developing evaluation models turn out to be essential to facilitate e-procurement procedures. With this contribution, we present our preliminary research to create a supporting system for the decision-making and monitoring process for the entire course of investments and contracts (SIAP). This system employs artificial intelligence techniques based on natural language processing and machine learning, focused on providing instruments for extracting useful information from both structured and unstructured (i.e., text) data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
