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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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Palmieri, R.; Orabona, V.; Cinque, N.; Tangorra, S. and Cappetta, D. (2017). Reputation Analysis towards Discovery. In Proceedings of the 6th International Conference on Data Science, Technology and Applications - KomIS; ISBN 978-989-758-255-4; ISSN 2184-285X, SciTePress, pages 321-330. DOI: 10.5220/0006487303210330

@conference{komis17,
author={Raffaele Palmieri. and Vincenzo Orabona. and Nadia Cinque. and Stefano Tangorra. and Donato Cappetta.},
title={Reputation Analysis towards Discovery},
booktitle={Proceedings of the 6th International Conference on Data Science, Technology and Applications - KomIS},
year={2017},
pages={321-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006487303210330},
isbn={978-989-758-255-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Data Science, Technology and Applications - KomIS
TI - Reputation Analysis towards Discovery
SN - 978-989-758-255-4
IS - 2184-285X
AU - Palmieri, R.
AU - Orabona, V.
AU - Cinque, N.
AU - Tangorra, S.
AU - Cappetta, D.
PY - 2017
SP - 321
EP - 330
DO - 10.5220/0006487303210330
PB - SciTePress