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

Information ◽  
2019 ◽  
Vol 10 (2) ◽  
pp. 68 ◽  
Author(s):  
Domenico Beneventano ◽  
Maurizio Vincini
Keyword(s):  
Big Data ◽  
Data Integration ◽  
Semantic Technologies ◽  
Special Issue ◽  
Innovative Solutions ◽  
Challenges And Opportunities ◽  
Dataset Size ◽  
Data Context

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.

scholarly journals Introduction to Big Data Computing for Geospatial Applications

2020 ◽  
Vol 9 (8) ◽  
pp. 487
Author(s):  
Zhenlong Li ◽  
Wenwu Tang ◽  
Qunying Huang ◽  
Eric Shook ◽  
Qingfeng Guan
Keyword(s):  
Big Data ◽  
Data Management ◽  
Management Strategies ◽  
Computational Thinking ◽  
Spatial Thinking ◽  
Future Research ◽  
Special Issue ◽  
Challenges And Opportunities ◽  
Data Structures And Algorithms ◽  
Future Research Directions

The convergence of big data and geospatial computing has brought challenges and opportunities to GIScience with regards to geospatial data management, processing, analysis, modeling, and visualization. This special issue highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates the opportunities for using big data for geospatial applications. Crucial to the advancements highlighted here is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms. This editorial first introduces the background and motivation of this special issue followed by an overview of the ten included articles. Conclusion and future research directions are provided in the last section.

scholarly journals Exploiting Semantics for Big Data Integration

AI Magazine ◽  
2015 ◽  
Vol 36 (1) ◽  
pp. 25-38 ◽  
Author(s):  
Craig A. Knoblock ◽  
Pedro Szekely
Keyword(s):  
Big Data ◽  
Data Integration ◽  
Cultural Heritage ◽  
Use Case ◽  
Heterogeneous Datasets ◽  
Dataset Size ◽  
Integrate Data

There is a great deal of interest in big data, focusing mostly on dataset size. An equally important dimension of big data is variety, where the focus is to process highly heterogeneous datasets. We describe how we use semantics to address the problem of big data variety.  We also describe Karma, a system that implements our approach and show how Karma can be applied to integrate data in the cultural heritage domain. In this use case, Karma integrates data across many museums even though the datasets from different museums are highly heterogeneous.

Guest Editorial: Special Issue on Big Data

2020 ◽  
pp. -1--1
Author(s):  
Arun Sangaiah ◽  
Ford Gao ◽  
Krishn Mishra
Keyword(s):  
Big Data ◽  
Guest Editorial ◽  
Special Issue ◽  
Editorial Special Issue

The ENIGMA Brain Injury Working Group: Approach, Challenges, and Potential Benefits

2019 ◽  
Author(s):  
Elisabeth A. Wilde ◽  
Emily L. Dennis ◽  
David F Tate
Keyword(s):  
Brain Injury ◽  
Working Group ◽  
Meta Analysis ◽  
Special Issue ◽  
Group Approach ◽  
Challenges And Opportunities ◽  
Brain Structure And Function ◽  
Potential Benefits ◽  
And Function ◽  
Neuroimaging Genetics

The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) consortium brings together researchers from around the world to try to identify the genetic underpinnings of brain structure and function, along with robust, generalizable effects of neurological and psychiatric disorders. The recently-formed ENIGMA Brain Injury working group includes 8 subgroups, based largely on injury mechanism and patient population. This introduction to the special issue summarizes the history, organization, and objectives of ENIGMA Brain Injury, and includes a discussion of strategies, challenges, opportunities and goals common across 6 of the subgroups under the umbrella of ENIGMA Brain Injury. The following articles in this special issue, including 6 articles from different subgroups, will detail the challenges and opportunities specific to each subgroup.

Citizens, Elites, and Social Media Methodological Challenges and Opportunities in the Study of Persuasion and Mobilization

2019 ◽  
pp. 1036-1058
Author(s):  
Philip Habel ◽  
Yannis Theocharis
Keyword(s):  
Social Media ◽  
Big Data ◽  
Supply And Demand ◽  
Political Process ◽  
The Political ◽  
The Novel ◽  
Complete Understanding ◽  
Social Media Data ◽  
Challenges And Opportunities ◽  
Media Data

In the last decade, big data, and social media in particular, have seen increased popularity among citizens, organizations, politicians, and other elites—which in turn has created new and promising avenues for scholars studying long-standing questions of communication flows and influence. Studies of social media play a prominent role in our evolving understanding of the supply and demand sides of the political process, including the novel strategies adopted by elites to persuade and mobilize publics, as well as the ways in which citizens react, interact with elites and others, and utilize platforms to persuade audiences. While recognizing some challenges, this chapter speaks to the myriad of opportunities that social media data afford for evaluating questions of mobilization and persuasion, ultimately bringing us closer to a more complete understanding Lasswell’s (1948) famous maxim: “who, says what, in which channel, to whom, [and] with what effect.”

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