scholarly journals Addressing the Challenges of Interoperability and Cultural Heritage Data

2021 ◽  
Vol 2021 (1) ◽  
pp. 33-37
Author(s):  
Fenella G. France ◽  
Andrew Forsberg
Keyword(s):  
Cultural Heritage ◽  
Structure Data ◽  
Data Sets ◽  
Science Data ◽  
Effective Utilization ◽  
Related Data ◽  
Heritage Science ◽  
Knowledge Organization Systems ◽  
Cidoc Crm ◽  
Multiple Ontologies

One of the ongoing challenges for effective utilization of heritage science data is the lack of access to well-organized and accessible extant data sets and the need to structure data in formats that allow interrogation and integration of related data. This need for data fusion expands to both subjective and objective measurements and descriptors, as well as a long-overdue need for established guidelines for metadata and shared terminologies, or more critically, ontologies. Research into this area has shown the need for Knowledge Organization Systems (KOS) that bridge and integrate multiple ontologies that address specific needs – for example the Getty Vocabularies for cultural heritage terms, the Linked Art model for a simplified core CIDOC-CRM, as well as the OBO Foundry and other scientific ontologies for measurements and heritage science terminology.[1]

Novel Visualization of Large Health Related Data Sets

2015 ◽  
Author(s):  
William E. Hammond ◽  
Vivian L. West ◽  
David Borland ◽  
Igor Akushevich ◽  
Eugenia M. Heinz
Keyword(s):  
Data Sets ◽  
Related Data ◽  
Health Related

scholarly journals Cultural heritage science at CNA (seville, Spain): Applications of XRF and IBA techniques to art and archaeological objects.

2020 ◽  
Vol 167 ◽  
pp. 108324 ◽  
Author(s):  
F.J. Ager ◽  
M.A. Respaldiza ◽  
S. Scrivano ◽  
I. Ortega-Feliu ◽  
A. Kriznar ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Heritage Science ◽  
Archaeological Objects

scholarly journals Giovanni: The Bridge Between Data and Science

Eos ◽  
2017 ◽  
Author(s):  
Zhong Liu ◽  
James Acker
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Earth Science ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Science Data ◽  
Web Based ◽  
Sensing Data ◽  
Daunting Task ◽  
Earth Science Data

Using satellite remote sensing data sets can be a daunting task. Giovanni, a Web-based tool, facilitates access, visualization, and exploration for many of NASA’s Earth science data sets.

scholarly journals Investigating uncertainties in global gridded datasets of climate extremes

2014 ◽  
Vol 10 (6) ◽  
pp. 2171-2199 ◽  
Author(s):  
R. J. H. Dunn ◽  
M. G. Donat ◽  
L. V. Alexander
Keyword(s):  
Land Surface ◽  
Structural Changes ◽  
Climate Extremes ◽  
Global Scale ◽  
Data Sets ◽  
Spatially Correlated ◽  
Related Data ◽  
Methodological Choices ◽  
Surface Time ◽  
Station Density

Abstract. We assess the effects of different methodological choices made during the construction of gridded data sets of climate extremes, focusing primarily on HadEX2. Using global land-surface time series of the indices and their coverage, as well as uncertainty maps, we show that the choices which have the greatest effect are those relating to the station network used or that drastically change the values for individual grid boxes. The latter are most affected by the number of stations required in or around a grid box and the gridding method used. Most parametric changes have a small impact, on global and on grid box scales, whereas structural changes to the methods or input station networks may have large effects. On grid box scales, trends in temperature indices are very robust to most choices, especially in areas which have high station density (e.g. North America, Europe and Asia). The precipitation indices, being less spatially correlated, can be more susceptible to methodological choices, but coherent changes are still clear in regions of high station density. Regional trends from all indices derived from areas with few stations should be treated with care. On a global scale, the linear trends over 1951–2010 from almost all choices fall within the 5–95th percentile range of trends from HadEX2. This demonstrates the robust nature of HadEX2 and related data sets to choices in the creation method.

scholarly journals A Conceptual Model for Art Criticism

2019 ◽  
pp. 138-157
Author(s):  
Maria Giovanna Mancini ◽  
Luigi Sauro
Keyword(s):  
Detailed Analysis ◽  
Conceptual Model ◽  
Art Criticism ◽  
Data Retrieval ◽  
Conceptual Modelling ◽  
Related Data ◽  
Efficient Data ◽  
Cidoc Crm

In this work, we present a detailed analysis of the different acceptations and practices of art criticism. This investigation underpins a novel conceptual modelling that extends Cidoc CRM and has been specifically designed to semantically annotate art criticism-related data and documents in order to enhance in this context interoperability and more efficient data retrieval.

scholarly journals Cyber Security Tool Kit (CyberSecTK): A Python Library for Machine Learning and Cyber Security

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 100
Author(s):  
Ricardo A. Calix ◽  
Sumendra B. Singh ◽  
Tingyu Chen ◽  
Dingkai Zhang ◽  
Michael Tu
Keyword(s):  
Machine Learning ◽  
Feature Extraction ◽  
Cyber Security ◽  
Research Work ◽  
Data Sets ◽  
Learning Approaches ◽  
Related Data ◽  
Research And Teaching ◽  
Survey Results ◽  
Program Modules

The cyber security toolkit, CyberSecTK, is a simple Python library for preprocessing and feature extraction of cyber-security-related data. As the digital universe expands, more and more data need to be processed using automated approaches. In recent years, cyber security professionals have seen opportunities to use machine learning approaches to help process and analyze their data. The challenge is that cyber security experts do not have necessary trainings to apply machine learning to their problems. The goal of this library is to help bridge this gap. In particular, we propose the development of a toolkit in Python that can process the most common types of cyber security data. This will help cyber experts to implement a basic machine learning pipeline from beginning to end. This proposed research work is our first attempt to achieve this goal. The proposed toolkit is a suite of program modules, data sets, and tutorials supporting research and teaching in cyber security and defense. An example of use cases is presented and discussed. Survey results of students using some of the modules in the library are also presented.

Sign in / Sign up

Export Citation Format

Share Document