Next Article in Journal
Blind Robust 3D Mesh Watermarking Based on Mesh Saliency and Wavelet Transform for Copyright Protection
Previous Article in Journal
Automatic Acquisition of Annotated Training Corpora for Test-Code Generation
Previous Article in Special Issue
Integration of Web APIs and Linked Data Using SPARQL Micro-Services—Application to Biodiversity Use Cases
Article Menu

Export Article

Open AccessEditorial
Information 2019, 10(2), 68; https://doi.org/10.3390/info10020068

Foreword to the Special Issue: “Semantics for Big Data Integration”

Dipartimento di Ingegneria "Enzo Ferrari", Università di Modena e Reggio Emilia, Via Vivarelli 10, 41125 Modena, Italy
*
Author to whom correspondence should be addressed.
Received: 15 February 2019 / Accepted: 15 February 2019 / Published: 18 February 2019
(This article belongs to the Special Issue Semantics for Big Data Integration)
Full-Text   |   PDF [164 KB, uploaded 18 February 2019]

Abstract

In recent years, a great deal of interest has been shown toward big data. Much of the work on big data has focused on volume and velocity in order to consider dataset size. Indeed, the problems of variety, velocity, and veracity are equally important in dealing with the heterogeneity, diversity, and complexity of data, where semantic technologies can be explored to deal with these issues. This Special Issue aims at discussing emerging approaches from academic and industrial stakeholders for disseminating innovative solutions that explore how big data can leverage semantics, for example, by examining the challenges and opportunities arising from adapting and transferring semantic technologies to the big data context. View Full-Text
Keywords: big data dimensions; big data technology; big data integration; semantic data design; information visibility big data dimensions; big data technology; big data integration; semantic data design; information visibility
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Beneventano, D.; Vincini, M. Foreword to the Special Issue: “Semantics for Big Data Integration”. Information 2019, 10, 68.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top