The length and extension of legal processes are two of the main problems of contemporary justice. Adopting process analysis tech- niques can serve to understand the course of these processes, to identify bottlenecks, and to propose improvements. This paper showcases an ex- ploration of legal event logs using process mining techniques. First, we discuss the results obtained by applying state-of-the art process discov- ery techniques to data obtained from public tenders. Then, we show how to use natural language processing to automatically extract events and dates from the texts of the tenders and leverage this information for improving the results of process mining techniques. As a proof-of- concept, we propose a comparison of the French, Spanish, and Italian cases through process discovery based on calls for tenders from the Eu- ropean TED repository

Automated Analysis with Event Log Enrichment of the European Public Procurement Processes

Roberto Nai
First
;
Emilio Sulis;
2023-01-01

Abstract

The length and extension of legal processes are two of the main problems of contemporary justice. Adopting process analysis tech- niques can serve to understand the course of these processes, to identify bottlenecks, and to propose improvements. This paper showcases an ex- ploration of legal event logs using process mining techniques. First, we discuss the results obtained by applying state-of-the art process discov- ery techniques to data obtained from public tenders. Then, we show how to use natural language processing to automatically extract events and dates from the texts of the tenders and leverage this information for improving the results of process mining techniques. As a proof-of- concept, we propose a comparison of the French, Spanish, and Italian cases through process discovery based on calls for tenders from the Eu- ropean TED repository
2023
JUSMOD
Lisbona
6–9 novembre
Advances in Conceptual Modeling
Springer
178
188
978-3-031-47111-7
https://link.springer.com/chapter/10.1007/978-3-031-47112-4_17#citeas
Public procurement Process mining Event log enrichment Natural Language Processing
Roberto Nai, Emilio Sulis, Laura Genga
File in questo prodotto:
File Dimensione Formato  
Automated Analysis with Event Log Enrichment of the European Public Procurement Processes_JUSMOD_2023.pdf

Accesso aperto

Tipo di file: POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione 936.91 kB
Formato Adobe PDF
936.91 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1945610
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact