DEW 2019: Data Exploration in the Web 3.0 Age

Now in its third edition, the Data Exploration in the Web 3.0 Age (DEW) track of the IEEE International WETICE Conference continues 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. Papers accepted for presentation at DEW 2019 are representatives of emerging topics in the fields of data and text mining, machine learning, semantic web and Internet of things.

[1]  Laurence T. Yang,et al.  Data Mining for Internet of Things: A Survey , 2014, IEEE Communications Surveys & Tutorials.

[2]  Barbara Pes,et al.  Handling Class Imbalance in High-Dimensional Biomedical Datasets , 2019, 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

[3]  Carlo Zaniolo,et al.  Machine Learning of SPARQL Templates for Question Answering Over LinkedSpending , 2019, 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

[4]  Thomas R. Gruber,et al.  Collective knowledge systems: Where the Social Web meets the Semantic Web , 2008, J. Web Semant..

[5]  Heiko Paulheim,et al.  Semantic Web in data mining and knowledge discovery: A comprehensive survey , 2016, J. Web Semant..

[6]  Cecilia Di Ruberto,et al.  An Open Source Plugin for Image Analysis in Biology , 2019, 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

[7]  Michael Granitzer,et al.  MMoveT15: A Twitter Dataset for Extracting and Analysing Migration-Movement Data of the European Migration Crisis 2015 , 2019, 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

[8]  Cássio V. S. Prazeres,et al.  Web of Things Data Visualization: From Devices to Web Via Fog and Cloud Computing , 2019, 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

[9]  Barbara Pes,et al.  Summary Report for the Data Exploration in the Web 3.0 Age (DEW) Track , 2017, 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

[10]  Carlo Zaniolo,et al.  QA 3 : A natural language approach to question answering over RDF data cubes , 2019, Semantic Web.

[11]  Xindong Wu,et al.  Data mining with big data , 2014, IEEE Transactions on Knowledge and Data Engineering.