AI*IA 2017 Advances in Artificial Intelligence

1. Knowledge Engineering, Ontologies and the Semantic Web

   1. Business Processes and Their Participants: An Ontological Perspective

      • Greta Adamo, Stefano Borgo, Chiara Di Francescomarino, Chiara Ghidini, Nicola Guarino, Emilio M. Sanfilippo

      Pages 215-228

   2. Feeding a Hybrid Recommendation Framework with Linked Open Data and Graph-Based Features

      • Cataldo Musto, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro

      Pages 229-242

   3. Reasoning over RDF Knowledge Bases: Where We Are

      • Simona Colucci, Francesco M. Donini, Eugenio Di Sciascio

      Pages 243-255

   4. Between Contact and Support: Introducing a Logic for Image Schemas and Directed Movement

      • Maria M. Hedblom, Oliver Kutz, Till Mossakowski, Fabian Neuhaus

      Pages 256-268

   5. Document Layout Analysis for Semantic Information Extraction

      • Weronika T. Adrian, Nicola Leone, Marco Manna, Cinzia Marte

      Pages 269-281

   6. A Criminal Domain Ontology for Modelling Legal Norms

      • Mirna El Ghosh, Habib Abdulrab, Hala Naja, Mohamad Khalil

      Pages 282-294

   7. Semantic Models for the Geological Mapping Process

      • Vincenzo Lombardo, Fabrizio Piana, Dario Mimmo, Enrico Mensa, Daniele P. Radicioni

      Pages 295-306

2. Machine Learning

   1. Front Matter

      Pages 307-307

      PDF

   2. Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering

      • Annalisa Appice, Sonja Pravilovic, Donato Malerba, Antonietta Lanza

      Pages 309-320

   3. Do You Feel Blue? Detection of Negative Feeling from Social Media

      • Marco Polignano, Marco de Gemmis, Fedelucio Narducci, Giovanni Semeraro

      Pages 321-333

   4. Alternative Variable Splitting Methods to Learn Sum-Product Networks

      • Nicola Di Mauro, Floriana Esposito, Fabrizio G. Ventola, Antonio Vergari

      Pages 334-346

   5. Deepsquatting: Learning-Based Typosquatting Detection at Deeper Domain Levels

      • Paolo Piredda, Davide Ariu, Battista Biggio, Igino Corona, Luca Piras, Giorgio Giacinto et al.

      Pages 347-358

   6. On the Impact of Linguistic Information in Kernel-Based Deep Architectures

      • Danilo Croce, Simone Filice, Roberto Basili

      Pages 359-371

   7. Converse-Et-Impera: Exploiting Deep Learning and Hierarchical Reinforcement Learning for Conversational Recommender Systems

      • Claudio Greco, Alessandro Suglia, Pierpaolo Basile, Giovanni Semeraro

      Pages 372-386

   8. Attentive Models in Vision: Computing Saliency Maps in the Deep Learning Era

      • Marcella Cornia, Davide Abati, Lorenzo Baraldi, Andrea Palazzi, Simone Calderara, Rita Cucchiara

      Pages 387-399

3. Philosophical Foundations, Metacognitive Modeling and Ethics

   1. Front Matter

      Pages 401-401

      PDF

   2. Supporting Organizational Accountability Inside Multiagent Systems

      • Matteo Baldoni, Cristina Baroglio, Katherine M. May, Roberto Micalizio, Stefano Tedeschi

      Pages 403-417

   3. Providing Self-aware Systems with Reflexivity

      • Alessandro Valitutti, Giuseppe Trautteur

      Pages 418-427

   4. Towards a Cognitive Semantics of Types

      • Daniele Porello, Giancarlo Guizzardi

      Pages 428-440

4. Planning and Scheduling

   1. Front Matter

      Pages 441-441

      PDF

This book constitutes the refereed proceedings of the 16th International Conference of the Italian Association for Artificial Intelligence, AI*IA 2017, held in Bari, Italy, in November 2017.


The 37 full papers presented were carefully reviewed and selected from 91 submissions. The papers are organized in topical sections on applications of AI; natural language processing; knowledge representation and reasoning; knowledge engineering, ontologies and the semantic web; machine
learning; philosophical foundations, metacognitive modeling and ethics; and planning and scheduling.

• Artificial Intelligence
• Smart Cities
• Applications of AI
• Natural Language Processing
• Knowledge Engineering
• Ontologies and the Semantic Web
• Machine Learning
• Metacognitive Modeling and Ethics
• Planning and Scheduling
• semantics
• world wide web
• machine learning
• ontology
• computational linguistics
• natural language processing
• learning algorithms
• logic programming
• Support Vector Machines (SVM)
• web services
• answer set programming

• University of Bari, Bari, Italy

  Floriana Esposito, Stefano Ferilli, Francesca A. Lisi

• University of Rome Tor Vergata, Rome, Italy

  Roberto Basili

Policies and ethics