Vol-1485
urn:nbn:de:0074-1485-8

Copyright © 2015 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

AIIA 2015 DC
AIIA 2015 Doctoral Consortium

Proceedings of the Doctoral Consortium (DC)
co-located with the 14th Conference of the Italian Association for Artificial Intelligence (AI*IA 2015)

Ferrara, Italy, September 23-24, 2015.

Edited by

Elena Bellodi *
Alessio Bonfietti **

* University of Ferrara, Department of Engineering (ENDIF), Via Saragat 1, 44122 Ferrara, Italy
** University of Bologna, Department of Computer Science and Engineering (DISI), Via Zamboni 33, 40126 Bologna, Italy

Here you can download the complete proceedings as a single PDF-file.
Below you can download each single contribution.

Table of Contents

Preface

Submissions

Tableau Reasoners for Probabilistic Ontologies Exploiting Logic Programming Techniques 1-6
Riccardo Zese, Elena Bellodi, Fabrizio Riguzzi, Evelina Lamma
Learning Probabilistic Ontologies with Distributed Parameter Learning 7-12
Giuseppe Cota, Riccardo Zese, Elena Bellodi, Evelina Lamma, Fabrizio Riguzzi
STOLE: A Reference Ontology for Historical Research Documents 13-18
Laura Pandolfo
Ontology Based Semantic Image Interpretation 19-24
Ivan Donadello
Labelled Variables in Logic Programming: A First Prototype in tuProlog 25-30
Roberta Calegari, Enrico Denti, Andrea Omicini
Learning Static Constraints for Domain Modeling from Training Plans 31-36
Rabia Jilani
A CP Scheduler for High-Performance Computers 37-42
Thomas Bridi, Michele Lombardi, Andrea Bartolini, Luca Benini, Michela Milano
Recommender Systems supporting Decision Making through Analysis of User Emotions and Personality 43-48
Marco Polignano, Marco de Gemmis
Interaction with a Personalised Smart Space for Enhancing Everyday Life 49-54
Assunta Matassa

2015-10-22: submitted by Elena Bellodi, metadata incl. bibliographic data published under Creative Commons CC0
2015-10-23: published on CEUR-WS.org |valid HTML5|