| Vol-1959 urn:nbn:de:0074-1959-8 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# KDWEB 2017
Knowledge Discovery on the WEB

### Proceedings of the 3rd International Workshop on Knowledge Discovery on the WEB

### Cagliari, Italy, September 11 to 12, 2017.

Edited by

### Giuliano Armano, University of Cagliari, Italy
Alessandro Bozzon, Delft University of Technology, The Netherlands
Matteo Cristani, University of Verona, Italy
Alessandro Giuliani, University of Cagliari, Italy

## Table of Contents

### Invited Talks

- Myths and Challenges in Knowledge Extraction and Big Data Analysis on Human-Generated Content from Web and Social Media Sources
  Marco Brambilla
- Knowledge-enabled Recommender Systems: Models, Challenges, Solutions
  Tommaso Di Noia

### Session 1: Knowledge Extraction on the Web

- Analysis and Knowledge Extraction from Event-related Visual Content on Instagram
  Tahereh Arabghalizi, Behnam Rahdari, Marco Brambilla
- Estimating Missing Temporal Meta-Information using Knowledge-Based-Trust
  Yaser Oulabi, Christian Bizer

### Session 2: Web documents and Knowledge Repositories

- Shoo the Spectre of Ignorance with QA2SPR - An Open Domain Question Answering Architecture with Semantic Prioritisation of Roles
  Simone Scannapieco, Claudio Tomazzoli
- A Bag-of-entities Approach to Document Focus Time Estimation
  Christian Morbidoni, Alessandro Cucchiarelli

### Session 3: Viralitiy on Social Networks

- Estimating the Spreading of Viral Threads on Twitter
  Luigi Corvacchiola, Eleonora Iotti, Michele Tomaiuolo
- Viral Experiments
  Matteo Cristani, Francesco Olivieri, Claudio Tomazzoli

### Session 4: Social Networks Models

- Knowledge Discovery on Scopus
  Paolo Fornacciari, Monica Mordonini, Michele Nonelli, Laura Sani, Michele Tomaiuolo
- The Brain is a Social Network
  Claudio Tomazzoli, Silvia Francesca Storti, Ilaria Boscolo Galazzo, Matteo Cristani, Gloria Menegaz
- Discovering Distributional Thesauri Semantic Relations
  Velislava Stoykova

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2017-10-17: submitted by Matteo Cristani Alessandro Giuliani, metadata incl. bibliographic data published under Creative Commons CC0
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