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DEW 2017: Data Exploration in the Web 3.0 Age

Conference Track @ 26th IEEE WETICE Conference

Poznan, Poland, June 21-23, 2017

Welcome to DEW 2017!

The goal of the Data Exploration in the Web 3.0 Age (DEW 2017) conference track is to bring together researchers and practitioners from both the Academia and Industry working in the areas related to data exploration, in a very broad sense. The track welcomes contributions from data mining, query languages, data visualization, graph databases and other fields related to the analysis and exploitation of data. Papers focusing on Semantic technologies and Graph databases are particularly welcome.

Camera-ready and Registration to IEEE WETICE 2017

Camera-ready submission deadline (extended): April 24, 2017

Registration: must be done by April 24, 2017. See the WETICE Conference registration page

Background

Over the course of the last twenty years, currently emerging Web 3.0 environments have provided a strong potential for the integration of data sources, applications and tools. In such a pervasive and highly dynamic scenario, existing techniques for accessing and managing web content seem to be actually inadequate to satisfy the user needs and more implicit or automatic ways of joining information are needed to improve the usability of web resources where searching is often unwieldy. This raises several important challenges for future data and web mining methods. Such challenges range from the analysis of poorly structured information, such as annotations and tags, to the provision of innovative methods that support users in searching and integrating information offered by web resources.

The overall goal of these challenges is not limited to enhance information retrieval, but aims to raise awareness of how such information can be put to use in order to transform a specific dataset into a particularly significant resource when used in conjunction with other sources of information. According to this point of view, web-based information is also seen as an important source of economic growth enabling new forms of entrepreneurships and social innovation. Indeed, having a social and economic value, web information can be used as a basis for the creation of new services which add value to the original data. Finally, the growth of information through the Internet dramatically increases the range of benefits and usages derived from enabling data mining technologies that clearly point toward a high user involvement. The above motivations make DEW 2017 a special venue for a series of topics at the intersection of several technologies such as data mining, web intelligence, search, cloud technologies, etc.

Submit your paper to Data Exploration in the Web 3.0 Age

Call for Paper

The CFP of the DEW 2017 in text format can be downloaded here.

Submission

Papers up to six (6) double-column pages (including figures, tables and references) should contain original contributions not published or submitted elsewhere and are to be formatted according to the IEEE template. Technical paper authors MUST submit their manuscripts through EasyChair conference management system in PDF format.

Accepted papers will be included in the proceedings published by the IEEE Computer Society Press in a volume available under IEEE Digital Library. The proceedings will be submitted for indexing through INSPEC, Compendex, Thomson Reuters, DBLP, Google Scholar and EI Index, and available in both Elsevier Scopus and ISI Web of Science databases.

Distinguished quality papers presented at the DEW 2017 will be also selected for publication in internationally renowned journals.

Submit to Data Exploration in the Web 3.0 Age

Important Dates

Abstract submission (extended): March 5, 2017

Paper submission deadline (extended): March 12, 2017

Notification of acceptance: April 2, 2017

Camera-ready submission: April 15, 2017 April 24, 2017

Registration: at least one co-author of any accepted paper has to register to the conference and pay the registration fee by April 24, 2017. Please see the WETICE Conference registration page for further information.

Topics

Any work related to data exploration is welcome. The following is a non-exhaustive list to exemplify possible topics of interest:
  • Text and Data Mining, Knowledge Discovery
  • Faceted Search and Browsing
  • Information Retrieval
  • Data Visualization and UX for Web 3.0 data
  • Querying interfaces and languages including Constrained natural languages
  • Entity Recognition and merging, Type classification, record linkage and property ranking
  • Privacy and Security issues in Data Exploration
  • Machine learning and statistical methods for natural language and Web 3.0 data
  • Platforms and Applications exploring data in all domains including social, web, bioinformatics and finance
  • Knowledge graph creation, reasoning, and exploration
  • Data streams and the Internet of Things
  • Semantic Web and Linked Data analytics

Program Committee

Track Chairs

  • Maurizio Atzori, University of Cagliari
  • Barbara Pes, University of Cagliari
  • Nicoletta Dessì, University of Cagliari

PC Members

  • Amparo Alonso-Betanzos, University of A Coruña, Spain
  • Giuseppe M. Mazzeo, Facebook Inc., U.S.A.
  • Fabio Persia, Free University of Bozen-Bolzano, Italy
  • Daniele Riboni, University of Cagliari, Italy
  • Yücel Saygin, Sabanci University, Turkey
  • Timo Sztyler, University of Mannheim, Germany
  • Letizia Tanca, Politecnico di Milano, Italy
  • Danuta Zakrzewska, Politechnika Łódzka, Poland
  • Carlo Zaniolo, University of California, Los Angeles, U.S.A.