[1]

Fabrizio Riguzzi and Terrance Swift.
Probabilistic logic programming under the distribution semantics.
In M. Kifer and Y. A. Liu, editors, Declarative Logic
Programming: Theory, Systems, and Applications, LNCS. Springer, 2016.
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[2]

Fabrizio Riguzzi.
Deductive and inductive probabilistic programming (invited talk).
In Arjen Hommersom and Samer Abdallah, editors, Proceedings of
the 3nd International Workshop on Probabilistic Logic Programming (PLP),
volume 1661 of CEUR Workshop Proceedings, pages 11, Aachen, Germany,
2016. © by the authors, Sun SITE Central Europe.
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[3]

Marco Alberti, Elena Bellodi, Giuseppe Cota, Evelina Lamma, Fabrizio Riguzzi,
and Riccardo Zese.
Probabilistic constraint logic theories.
In Arjen Hommersom and Samer Abdallah, editors, Proceedings of
the 3nd International Workshop on Probabilistic Logic Programming (PLP),
volume 1661 of CEUR Workshop Proceedings, pages 1528, Aachen,
Germany, 2016. © by the authors, Sun SITE Central Europe.
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[4]

Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota, and Evelina
Lamma.
Structure learning of probabilistic logic programs by mapreduce.
In Maria Fox and Gal Kaminka, editors, 22nd European Conference
on Artificial Intelligence ECAI 2016, volume 285 of Frontiers in
Artificial Intelligence and Applications, pages 16021603, © CCBYNC 4.0, 2016.
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[5]

Marco Alberti, Giuseppe Cota, Fabrizio Riguzzi, and Riccardo Zese.
Probabilistic logical inference on the web.
In Stefano Cagnoni, Marco Gori, and Marco Maratea, editors,
Proceedings of the 15th Conference of the Italian Association for Artificial
Intelligence (AI*IA2016), Genova, Italy, 28 November  1 December 2016,
Lecture Notes in Computer Science, Heidelberg, Germany, 2016. Springer
International Publishing.
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[6]

Marco Alberti, Evelina Lamma, Fabrizio Riguzzi, and Riccardo Zese.
Probabilistic hybrid knowledge bases under the distribution
semantics.
In Stefano Cagnoni, Marco Gori, and Marco Maratea, editors,
Proceedings of the 15th Conference of the Italian Association for Artificial
Intelligence (AI*IA2016), Genova, Italy, 28 November  1 December 2016,
Lecture Notes in Computer Science, Heidelberg, Germany, 2016. Springer
International Publishing.
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[7]

Giuseppe Cota, Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, and Evelina
Lamma.
Distributed parameter learning for probabilistic ontologies.
In Katsumi Inoue, Hayato Ohwada, and Akihiro Yamamoto, editors,
Inductive Logic Programming: 25th International Conference, ILP 2015, Kyoto,
Japan, August 2022, 2015, Revised Selected Papers, volume 9575 of
Lecture Notes in Computer Science, pages 3045, Heidelberg, Germany, 2016.
© Springer International Publishing Switzerland, Springer
International Publishing.
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[8]

Fabrizio Riguzzi.
The distribution semantics for normal programs with function symbols.
International Journal of Approximate Reasoning, 77:1  19,
© Elsevier, October 2016.
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[9]

Fabrizio Riguzzi and Giuseppe Cota.
Probabilistic logic programming tutorial.
The Association for Logic Programming Newsletter, 29(1),
© by the authors, March/April 2016.
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[10]

Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi, Riccardo Zese, and Giuseppe
Cota.
A web system for reasoning with probabilistic OWL.
Software: Practice and Experience, © Wiley, May
2016.
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[11]

Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma.
Statistical relational learning for workflow mining.
Intelligent Data Analysis, 20(3):515541, © IOS
Press, April 2016.
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[12]

Fabrizio Riguzzi.
Review of Alviano, Mario; Faber, Wolfgang Supportedly stable answer
sets for logic programs with generalized atoms. (English summary) Web
reasoning and rule systems, 3044, Lecture Notes in Comput. Sci., 9209,
Springer, 2015. .
Mathematical Reviews, © American Mathematical
Society, April 2016.
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[13]

Fabrizio Riguzzi.
Review of Chowdhury, Md. Solimul; Liu, Fangfang; Chen, Wu; Karimi,
Arash; You, JiaHuai Polynomial approximation to wellfounded semantics for
logic programs with generalized atoms: case studies. Logicbased program
synthesis and transformation, 279296, Lecture Notes in Comput. Sci., 8981,
Springer, 2015.
Mathematical Reviews, © American Mathematical
Society, January 2016.
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[14]

Fabrizio Riguzzi.
Review of Janhunen, Tomi; Niemelä, Ilkka Cumulativity tailored for
nonmonotonic reasoning. Advances in knowledge representation, logic
programming, and abstract argumentation, 96111, Lecture Notes in Comput.
Sci., 9060, Springer, 2015. .
Mathematical Reviews, © American Mathematical
Society, January 2016.
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[15]

Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, Riccardo Zese, and Giuseppe
Cota.
Probabilistic logic programming on the web.
Software: Practice and Experience, © Wiley, 2015.
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[16]

Fabrizio Riguzzi.
Introduzione all'intelligenza artificiale.
CoRR, abs/1511.04352, © CCBY, 2015.
Published as Fabrizio Riguzzi, Introduzione all'Intelligenza
Artificiale, Terre di Confine, 2(1), January 2006, License CCBY.
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[17]

Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, and Fabrizio
Riguzzi.
Learning probabilistic ontologies with distributed parameter
learning.
In Elena Bellodi and Alessio Bonfietti, editors, Proceedings of
the Doctoral Consortium (DC) colocated with the 14th Conference of the
Italian Association for Artificial Intelligence (AI*IA 2015), volume 1485 of
CEUR Workshop Proceedings, pages 712, Aachen, Germany, 2015.
© by the authors, Sun SITE Central Europe.
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[18]

Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, and Evelina Lamma.
Tableau reasoners for probabilistic ontologies exploiting logic
programming techniques.
In Elena Bellodi and Alessio Bonfietti, editors, Proceedings of
the Doctoral Consortium (DC) colocated with the 14th Conference of the
Italian Association for Artificial Intelligence (AI*IA 2015), volume 1485 of
CEUR Workshop Proceedings, pages 16, Aachen, Germany, 2015.
© by the authors, Sun SITE Central Europe.
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[19]

Fabrizio Riguzzi.
Review of De Raedt, Luc; Kimmig, Angelika Probabilistic (logic)
programming concepts. Mach. Learn. 100 (2015), no. 1, 547.
Mathematical Reviews, © American Mathematical
Society, November 2015.
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[20]

Fabrizio Riguzzi.
Review of Wakaki, Toshiko Preferencebased argumentation built from
prioritized logic programming. J. Logic Comput. 25 (2015), no. 2, 251301. .
Mathematical Reviews, © American Mathematical
Society, September 2015.
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[21]

Fabrizio Riguzzi.
Review of Cinicioglu, Esma Nur Decision making with consonant belief
functions: discrepancy resulting with the probability transformation method
used. Yugosl. J. Oper. Res. 24 (2014), no. 3, 359370.
Mathematical Reviews, © American Mathematical
Society, August 2015.
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[22]

Marco Gavanelli, Evelina Lamma, and Fabrizio Riguzzi, editors.
AI*IA 2015, Advances in Artificial Intelligence, XIVth
International Conference of the Italian Association for Artificial
Intelligence, Ferrara, Italy, September 2325, 2015, Proceedings, volume
9336 of Lecture Notes in Computer Science, Heidelberg, Germany, 2015.
© Springer International Publishing Switzerland, Springer
International Publishing.
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[23]

Fabrizio Riguzzi.
The distribution semantics is welldefined for all normal programs.
In Fabrizio Riguzzi and Joost Vennekens, editors, Proceedings of
the 2nd International Workshop on Probabilistic Logic Programming (PLP),
volume 1413 of CEUR Workshop Proceedings, pages 6984, Aachen,
Germany, 2015. © by the authors, Sun SITE Central Europe.
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[24]

Fabrizio Riguzzi and Joost Vennekens, editors.
Proceedings of the 2nd International Workshop on Probabilistic
Logic Programming (PLP), volume 1413 of CEUR Workshop Proceedings,
Aachen, Germany, 2015. © by the authors, Sun SITE Central
Europe.
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[25]

Jan Wielemaker, Torbjörn Lager, and Fabrizio Riguzzi.
SWISH: SWIProlog for sharing.
In Stefan Ellmauthaler and Claudia Schulz, editors,
International Workshop on UserOriented Logic Programming (IULP 2015),
© by the authors, 2015.
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[26]

Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, and Fabrizio
Riguzzi.
Structure learning with distributed parameter learning for
probabilistic ontologies.
In Jaakko Hollmen and Panagiotis Papapetrou, editors, Doctoral
Consortium of the European Conference on Machine Learning and Principles and
Practice of Knowledge Discovery in Databases, pages 7584, © by the authors, 2015.
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[27]

Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese,
and Giuseppe Cota.
An abductive framework for Datalog+ ontologies.
In Marina De Vos, Thomas Eiter, Yuliya Lierler, and Francesca Toni,
editors, Technical Communications of the 31st Int'l. Conference on Logic
Programming (ICLP 2015), number 1433 in CEUR Workshop Proceedings, Aachen,
Germany, 2015. © by the authors, Sun SITE Central Europe.
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[28]

Marco Gavanelli, Evelina Lamma, Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese,
and Giuseppe Cota.
Abductive logic programming for Datalog+ ontologies.
In Davide Ancona, Marco Maratea, and Viviana Mascardi, editors,
Proceedings of the 30th Italian Conference on Computational Logic
(CILC2015), Genova, Italy, 13 July 2015, number 1459 in CEUR Workshop
Proceedings, pages 128143, Aachen, Germany, 2015. © by the
authors, Sun SITE Central Europe.
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[29]

Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese.
Reasoning with probabilistic ontologies.
In Qiang Yang and Michael Wooldridge, editors, Proceedings of
the TwentyFourth International Joint Conference on Artificial Intelligence,
Buenos Aires, Argentina, 2531 July 2015, pages 43104316, Palo Alto,
California USA, 2015. © International Joint Conferences on
Artificial Intelligence, AAAI Press / International Joint Conferences on
Artificial Intelligence.
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[30]

Riccardo Zese, Elena Bellodi, Evelina Lamma, and Fabrizio Riguzzi.
Logic programming techniques for reasoning with probabilistic
ontologies.
In Odile Papini, Salem Benferhat, Laurent Garcia, and MarieLaure
Mugnier, editors, International Workshop on Ontologies and Logic
Programming for Query Answering, © by the authors, 2015.
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[31]

Nicola Di Mauro, Elena Bellodi, and Fabrizio Riguzzi.
Banditbased MonteCarlo structure learning of probabilistic logic
programs.
Machine Learning, 100(1):127156, © Springer
International Publishing, July 2015.
The original publication is available at
http://www.springerlink.com.
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[32]

Fabrizio Riguzzi, Elena Bellodi, Evelina Lamma, and Riccardo Zese.
Probabilistic description logics under the distribution semantics.
Semantic Web  Interoperability, Usability, Applicability,
6(5):447501, 2015.
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[33]

Elena Bellodi and Fabrizio Riguzzi.
Structure learning of probabilistic logic programs by searching the
clause space.
Theory and Practice of Logic Programming, 15(2):169212,
© Cambridge University Press, 2015.
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