Special Issue "Data Science and Knowledge Discovery"

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Big Data and Augmented Intelligence".

Deadline for manuscript submissions: 20 September 2020.

Special Issue Editor

Dr. Carlos Filipe Da Silva Portela
Website
Guest Editor
Founder & CEO of IOTech; Information Systems and Technologies, ALGORITMI Research Centre, University of Minho; ESMAD, Polytechnic Institute of Oporto, Portugal
Interests: knowledge discovery; data science; progressive web apps; research & development
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

The importance and impact of data science (DS) in the decision process are significantly increasing. DS is an interdisciplinary field that combines a set of areas including computer science, machine learning, math and statistics, domain/business knowledge, software development, and traditional research. As a research topic, DS applies scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.

Knowledge discovery (KD) is the basis of data science and consists of the creation of knowledge from structured and unstructured sources (e.g., text, data, and images, among others). The output needs to be in a readable and interpretable format. It must represent knowledge in a manner that facilitates inferencing.

Several areas, like education, health, accounting, energy, and public administration are exploring this new trend. In this context, this Special Issue provides an excellent opportunity for providing scientific knowledge and disseminating the findings and achievements through several communities.

This Special Issue will discuss this trending topic and present innovative solutions to show the importance of data science and knowledge discovery to researchers, managers, industry, society, and other communities.

Finally, I would like to thank Gisela Fernandes and her valuable work for assisting me with this Special Issue.

Dr. Carlos Filipe Da Silva Portela
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Data mining
  • Big data
  • Machine learning
  • Text mining
  • Applied data science
  • Image mining
  • Business intelligence
  • Artificial intelligence
  • Intelligent data systems
  • Expert systems
  • Business intelligence.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
Employing a Chatbot for News Dissemination during Crisis: Design, Implementation and Evaluation
Future Internet 2020, 12(7), 109; https://doi.org/10.3390/fi12070109 - 30 Jun 2020
Abstract
The use of chatbots in news media platforms, although relatively recent, offers many advantages to journalists and media professionals and, at the same time, facilitates users’ interaction with useful and timely information. This study shows the usability of a news chatbot during a [...] Read more.
The use of chatbots in news media platforms, although relatively recent, offers many advantages to journalists and media professionals and, at the same time, facilitates users’ interaction with useful and timely information. This study shows the usability of a news chatbot during a crisis situation, employing the 2020 COVID-19 pandemic as a case study. The basic targets of the research are to design and implement a chatbot in a news media platform with a two-fold aim in regard to evaluation: first, the technical effort of creating a functional and robust news chatbot in a crisis situation both from the AI perspective and interoperability with other platforms, which constitutes the novelty of the approach; and second, users’ perception regarding the appropriation of this news chatbot as an alternative means of accessing existing information during a crisis situation. The chatbot designed was evaluated in terms of effectively fulfilling the social responsibility function of crisis reporting, to deliver timely and accurate information on the COVID-19 pandemic to a wide audience. In this light, this study shows the advantages of implementing chatbots in news platforms during a crisis situation, when the audience’s needs for timely and accurate information rapidly increase. Full article
(This article belongs to the Special Issue Data Science and Knowledge Discovery)
Back to TopTop