Semantic big data for tax assessment

Author:

Bortoli Stefano1,Bouquet Paolo1,Pompermaier Flavio2,Molinari Andrea3

Affiliation:

1. University of Trento, Trento, IT

2. Okkam SRL, Trento, IT

3. LUT - School of Industrial, Engineering and Management, Lappeenranta, FI

Funder

Autonomous Province of Trento (Italy)

Publisher

ACM Press

Reference17 articles.

1. G. Adinolfi, P. Bouquet, M. Zeni, and S. Bortoli. Sicras: Semantic (big) knowledge for fighting tax evasion and supporting social policy making. In A. Polleres, A. Garcia, and R. Benjamins, editors,Proceedings of ISWC2014 Industry Track Abstracts, October 2014.

2. A. Berson and S. J. Smith.Data Warehousing, Data Mining, and Olap. McGraw-Hill, Inc., New York, NY, USA, 1st edition, 1997.

3. C. Bizer and A. Schultz. The berlin sparql benchmark.International Journal on Semantic Web and Information Systems, 5(1):1--24, 2009.

4. S. Bortoli.Knowledge Based Open Entity Matching. PhD thesis, International Doctoral School in ICT of the University of Trento (Italy), 2013.

5. S. Bortoli, P. Bouquet, and B. Bazzanella. An identification ontology for entity matching. InOn the Move to Meaningful Internet Systems: OTM 2014 Workshops, volume 8842 ofLecture Notes in Computer Science, pages 587--596. Springer Berlin Heidelberg, 2014.

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