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Utilizing Knowledge on Scientific Principles on Material Properties for Materials RD
2019
Journal of Surface Analysis
Preserved Fulltext
The connections of properties are made into networktype knowledge database, and a system to search these connections has been developed. ...
A material search method without numerical data but with scientific principles has been proposed. It utilizes scientific principles in a form of connections of various materials properties. ...
In order to explore space without numerical data, we use scientific principles, which are established and described in textbooks. Let's give an example of how to use scientific principles. ...
doi:10.1384/jsa.26.134
fatcat:amaogloin5htfgqca6y33diyuy
Mapping Big Data into Knowledge Space with Cognitive Cyber-Infrastructure
[article]
2015
arXiv
pre-print
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What are the basic methods for representing, managing and analyzing big data? What is the relationship between big data and knowledge? Can we find a mapping from big data into knowledge space? ...
What kind of infrastructure is required to support not only big data management and analysis but also knowledge discovery, sharing and management? ...
, the UK, and the USA. ...
arXiv:1507.06500v1
fatcat:qpxjdezd45byrci5hbhtmg5pja
Spatial Causalities in Geographies of Scientific Knowledge
2021
European Journal of Geography
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Hence, in our increasingly globalized world, we must seek knowledge in spatial encounters and in-between places, not merely within spaces and places. ...
causalities through which scientific knowledge can be formed and transformed. ...
The author, however, is responsible for all the errors and omissions. ...
doi:10.48088/ejg.m.sho.12.3.129.145
fatcat:d4g6ivsdfbe5vcpxbliqoaklka
Importance of the Mathematical Foundations of Machine Learning Methods for Scientific and Engineering Applications
[article]
2018
arXiv
pre-print
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Consequently, even for existing and widely used methods there is a strong need for further mathematical work to facilitate ways to incorporate prior scientific knowledge and related inductive biases into ...
There has been a lot of recent interest in adopting machine learning methods for scientific and engineering applications. ...
Consequently, even for existing and widely used methods there is a strong need for further mathematical work to facilitate ways to incorporate prior scientific knowledge and related inductive biases into ...
arXiv:1808.02213v1
fatcat:isvvrdt23ne6jcp7mfwawf2bem
NEW TRENDS IN PUBLISHING RESEARCH AND TRANSFERRING THE KNOWLEDGE ON ANIMAL PRODUCTION – presenting Animal Open Space and EUREKA project
2021
Zenodo
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For EUREKA, the analysis of data and knowledge objects created in multi-actor projects and their relevance to the knowledge repository are presented. ...
It opens the possibility to publish research, methodological and data papers with faster review and is already operational. ...
Acknowledgments The financial support of EU for project EUREKA (grant agreement No 862790) and Slovenian Research Agency core financing (program Sustainable Agriculture P4-0133) is greatly acknowledged ...
doi:10.5281/zenodo.6370175
fatcat:esypl6572bdlfelgxqenfe5dva
The durability and fragility of knowledge infrastructures: Lessons learned from astronomy
2016
Proceedings of the Association for Information Science and Technology
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Research reported here draws upon a long-term study of scientific data practices to ask questions about the durability and fragility of infrastructures for data in astronomy. ...
These include different archiving practices between ground-and space-based missions, between sky surveys and investigator-led projects, and between observational and simulated data. ...
Traweek, Co-PI, and #0830976), and the Alfred P. Sloan Foundation (#20113194, C.L. Borgman, PI; S. Traweek, Co-PI, and #201514001, C.L. Borgman, PI). ...
doi:10.1002/pra2.2016.14505301057
dblp:conf/asist/BorgmanSDG16
fatcat:eyhjwdvdbbfnphh7r6tlqi77gi
Secondary School Students' Mental Models Regarding the Space
2018
Journal of Education and Learning
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In the study, a data collection tool including four open-ended questions developed by the researchers to determine the students' mental models of the "space" was used. ...
The findings of the study have revealed that the students mostly associate the concept of the space with the concepts of emptiness (53 students), infinity (50 students), planet (48 students) and star ( ...
Knowledge acquired in these ways is generally disconnected from scientific information and facts, and consist of many misconceptions (Sewell, 2002) . ...
doi:10.5539/jel.v7n4p122
fatcat:uqmcubhghja6zgmrwab7dv3vwq
The Durability and Fragility of Knowledge Infrastructures: Lessons Learned from Astronomy
[article]
2016
arXiv
pre-print
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Research reported here draws upon a long-term study of scientific data practices to ask questions about the durability and fragility of infrastructures for data in astronomy. ...
These include different archiving practices between ground- and space-based missions, between sky surveys and investigator-led projects, and between observational and simulated data. ...
Traweek, Co-PI, and #0830976), and the Alfred P. Sloan Foundation (#20113194, C.L. Borgman, PI; S. Traweek, Co-PI, and #201514001, C.L. Borgman, PI). ...
arXiv:1611.00055v1
fatcat:23p2nfkhbzhnnotg6nfw2huzim
A High Performance Virtual Workspace for Management and Monitoring of Scientific Applications
English
2017
Journal of Computational Interdisciplinary Sciences
English
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The EMBRACE (Brazilian Space Weather Program) program was chosen as a DFA case study for the knowledge and prediction of different phenomena that directly affect human activities, such as solar activity ...
unpredictable behaviors as extreme events in space physics. ...
The data base from Space Weather observations was chosen as a complex data warehousing for the knowledge, monitoring and prediction of different solar geoeffective process that directly involve a huge ...
doi:10.6062/jcis.2017.08.01.0119
fatcat:3n4kuiehlfcizlj5gox5ali7z4
A Vision for Open Cyber-Scholarly Infrastructures
2016
Publications
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., data-intensive, multidisciplinary, open, and heavily dependent on Internet technologies, entail the creation of a linked scholarly record that is online and open. ...
, and information-seeking practices enabled by OCIs. ...
Linking Literature Spaces with Data Spaces will increase scientific "information velocity" and will enhance scientific productivity as well as data availability, discoverability, interpretability, and ...
doi:10.3390/publications4020013
fatcat:5tj5qw3h65ctvjcj2isgr7whp4
Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
2017
IEEE Transactions on Knowledge and Data Engineering
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2016 pre-print arXiv:1612.08544v1 fatcat:mckdopewkvaovcxpyx5psgnhjmOther Versions
Theory-guided data science (TGDS) is an emerging paradigm that aims to leverage the wealth of scientific knowledge for improving the effectiveness of data science models in enabling scientific discovery ...
, climate science, and hydrology. ...
problem, i.e., scientific knowledge or data. ...
doi:10.1109/tkde.2017.2720168
fatcat:ijqhkol5hrf3fnxjhthmbce7he
Preliminaries of a Space Situational Awareness Ontology
[article]
2016
arXiv
pre-print
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By improving SSA via data- and knowledge-sharing, we can (iv) expand our scientific knowledge of the space environment, (v) advance our capacity for planetary defense from near-Earth objects, and (vi) ...
the meaning of that data, and (iii) foster SSA data-exchange and integration among SSA actors, orbital debris databases, space object catalogs and other SSA data repositories. ...
The second goal is to improve global SSA by fostering data-and knowledge-exchange in the space community; and advance our scientific knowledge in the process. ...
arXiv:1606.01924v2
fatcat:uht6eyzgefdgnbme65m3ildv5i
The Future of Digital Scholarship
2014
Procedia Computer Science
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and humanities data spaces. ...
and heavily dependent on internet technologies entail the creation of a linked, semantically enhanced scholarly record composed of interconnected discipline-specific literature and scientific, social, ...
Linking Literature spaces with Data Spaces will increase scientific "information velocity" and will enhance scientific productivity as it will improve data availability, discoverability, interpretability ...
doi:10.1016/j.procs.2014.10.005
fatcat:5oozn326pjbnzpehkhzbmnphji
IAC volume 12 issue 1 Cover and Back matter
1971
International Astronomical Union Colloquium
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knowledge of phenomena in the atmosphere and space. ...
NASA SCIENTIFIC AND TECHNICAL PUBLICATIONS TECHNICAL REPORTS: Scientific and technical information considered important, complete, and a lasting contribution to existing knowledge. ...
doi:10.1017/s0252921100088795
fatcat:cnkmf6cvyrcmri54m5g2qsveti
Space science knowledge in the context of Industry 4.0 and Space 4.0
[article]
2018
arXiv
pre-print
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Proceeding of the conference on Space 2030 and Space 4.0 synergies for capacity building in the XXIst Century, co-organized by the European Space Policy Institute and by the United Nations Office for Outer ...
Space Affairs in Vienna on February 3, 2018 ...
The data resulting from explorations, collected in space or on ground, are of great value, as it encodes our knowledge of the Universe, of our past and of our future. ...
arXiv:1810.04418v1
fatcat:6uyhcemvhze2bob4k4l5gnvht4
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