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Utilizing Knowledge on Scientific Principles on Material Properties for Materials RD

Michiko Yoshitake
2019 Journal of Surface Analysis  
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]

Hai Zhuge
2015 arXiv   pre-print
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

Mahmood Shoorcheh, University of Isfahan, Iran
2021 European Journal of Geography  
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]

Paul J. Atzberger
2018 arXiv   pre-print
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

Marjeta Čandek-Potokar, Giuseppe Bee
2021 Zenodo  
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

Christine L. Borgman, Ashley E. Sands, Peter T. Darch, Milena S. Golshan
2016 Proceedings of the Association for Information Science and Technology  
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

Sendil Can, Meryem Gorecek Baybars
2018 Journal of Education and Learning  
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]

Christine L. Borgman, Peter T. Darch, Ashley E. Sands, Milena S. Golshan
2016 arXiv   pre-print
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

Bruno Leonora, Walter dos Santos, Reinaldo Rosa
2017 Journal of Computational Interdisciplinary Sciences  
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

Costantino Thanos
2016 Publications  
., 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

Anuj Karpatne, Gowtham Atluri, James H. Faghmous, Michael Steinbach, Arindam Banerjee, Auroop Ganguly, Shashi Shekhar, Nagiza Samatova, Vipin Kumar
2017 IEEE Transactions on Knowledge and Data Engineering  
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]

Robert John Rovetto, T.S. Kelso
2016 arXiv   pre-print
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

Costantino Thanos
2014 Procedia Computer Science  
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  
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]

Roland Walter
2018 arXiv   pre-print
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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