The rise of the digital and mobile era has made the world become more connected, networked, and traceable, leading to the availability of large scale data. Due to the continuous evolution of technology, nowadays data is being created, shared, and stored at a dramatic pace. In particular, data has grown from static, complete, and centralized to dynamic, incomplete, and distributed; furthermore, data has rapidly increased its scope and size, leading to new challenges undertaken by the field of Big Data Analysis. Consequently, there is the need for novel computational techniques and tools able to assist humans in extracting useful information (knowledge) from the rapidly growing volumes of data. Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from such data. A major aspect of Knowledge Discovery is to extract valuable knowledge and information from data. Because of its potential power for solving complex problems, Knowledge Discovery is widespread in numerous fields, including science, engineering, healthcare, business, and medicine. Recently, the rapid growth of social networks and online services entailed that Knowledge Discovery approaches focused on the World Wide Web.

KDWEB 2016 is aimed at providing a venue to researchers, scientists, students, and practitioners involved in the fields of Knowledge Discovery on Data Mining, Information Retrieval, and Semantic Web, for presenting and discussing novel and emerging ideas. KDWEB will contribute to discuss and compare suitable novel solutions based on intelligent techniques and applied in real-world applications.

Submitted papers will be peer-reviewed by members of the Committee based on originality, significance, quality, and clarity.


***IMPORTANT DATES***
Regular papers submissions deadline (EXTENDED) : June 18, 2016
Notifications of acceptance (regular papers): July 10, 2016
Demos and posters submission deadline: August 1, 2016
Notifications of acceptance (demos and posters papers): August 18, 2016
Camera ready submissions: August 31, 2016
Workshop dates: September 8-10, 2016

***SUBMISSIONS***
Authors should submit an original paper in English, carefully checked for correct grammar and spelling, using the on-line submission procedure through EasyChair system (https://easychair.org/conferences/?conf=kdweb2016). Authors could submit either regular papers, demo, or poster papers.

***TOPICS OF INTEREST***
Topics of interest will include (but not are limited to):
- Big Data
- Data Mining
- Deep Learning
- Feature Selection and Extraction
- Hierarchical Categorization
- Information Filtering and Retrieval
- Linked Data
- Machine Learning
- Open Data
- Recommender Systems
- Semantic Web
- Semantics and Ontology Engineering
- Social Media
- Taxonomy Building, Assessment, and Optimization
- Text Categorization
- Text Mining
- Web Information Filtering and Retrieval
- Web Mining
- Web of Data
- Web Personalization and Recommendation


***INVITED SPEAKERS***
Maarten de Rijke (Univeristy of Amsterdam, The Netherlands)
Philippe Cudré-Mauroux (University of Fribourg, Switzerland)


***PUBLICATION ON INTERNATIONAL JOURNALS***
An agreement for fast track publication of (extended versions of) high-quality paper presented at the workshop has been set with the International Journal: IEEE Intelligent Systems (Impact Factor 2.34).


***GENERAL CHAIRS***
Giuliano Armano (University of Cagliari,Italy)
Alessandro Bozzon (Delft University of Technology, Netherlands)

***PROGRAM CHAIR***
Alessandro Giuliani (University of Cagliari, Italy)

***PUBLICATION CHAIR***
Matteo Cristani (University of Verona, Italy)