Authors:
Raffaele Palmieri
;
Vincenzo Orabona
;
Nadia Cinque
;
Stefano Tangorra
and
Donato Cappetta
Affiliation:
Eustema Spa, Italy
Keyword(s):
Open Source Intelligence, OSInt, Reputation Analysis, Supplier Risk Assessment, Company and Brand Reputation, Semantic Search, NLP, Crawling, Information Extraction, Information Discovery.
Abstract:
This work describes the development and the realization of an OSInt solution conducting a supplier risk assessment, focused on the evaluation of suppliers’ reputation starting from publicly available information. The main challenge is represented by the data processing phase that exploits NLP technologies to extract facts, events, and relations from unstructured sources, building the knowledge base for reputational analysis. Several measures have been adopted to provide a satisfactory user experience; however, further integrations are still needed to increase efficiency of the developed solution. Particularly, it is necessary to deepen and improve the analysis over the huge volume of data coming from open sources, enhancing the discovery of all possible relevant information influencing the reputation of the targeted entity.