Call for Papers 

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. Typycal tasks are aimed at gathering only relevant information from digital data (e.g., text documents, multimedia files, or webpages), by searching for information within documents and for metadata about documents, as well as searching relational databases and the Web.
Recently, the rapid growth of social networks and online services entailed that Knowledge Discovery approaches focused on the World Wide Web (WWW), whose popular use as global information system led to a huge amount of digital data. Typically, a webpage has unstructured or semi-structured textual content, leading to present to a user both relevant and irrelevant information. Hence, there is the need of new techniques and systems able to easily extract information and knowledge from the huge web data.
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 2016 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.

The KDWEB Poster and Demo Session is a forum to encourage interactions among researchers, practitioners, and master/PhD students. The session allows them to present their new and innovative work in-progress. Submitted posters or demos are expected to be aligned with one or more of the workshop relevant topics. Both poster and demo papers will be peer-reviewed by members of the Committee based on originality, significance, quality, and clarity. More details are provided in the KDWEB Poster and Demo CfP.

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

Authors should submit an original paper in English, carefully checked for correct grammar and spelling, using the on-line submission procedure. Authors could submit either regular papers or long abstracts. For the submission details click here.
At least one author of each accepted paper must register for the conference and present the paper there.

Journal Articles
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).

Important Dates

  • Regular papers submissions deadline (EXTENDED): June 5, 2016 June 18, 2016 
  • Notifications of acceptance (regular papers):   July 10, 2016  July 25, 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

General Chairs
Giuliano Armano (Department of Electrical and Electronic Engineering - University of Cagliari, Italy)
Alessandro Bozzon (Software and Computer Technology Department - Delft University of Technology, Netherlands)

Program Chair
Alessandro Giuliani (Department of Electrical and Electronic Engineering - University of Cagliari, Italy)

Publication Chair
Matteo Cristani (Department of Computer Science - University of Verona, Italy)


primi sui motori con e-max