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From Big Data to Big Information and Big Knowledge

Konstantina Bereta, Manolis Koubarakis, Stefan Manegold, George Stamoulis, Begüm Demir
2018 Proceedings of the 27th ACM International Conference on Information and Knowledge Management - CIKM '18  
EO data is a paradigmatic case of big data and the same is true for the big information and big knowledge extracted from it.  ...  a powerful capability to quickly and accurately access and extract vital information for observing the Earth from big EO archives.  ... 
doi:10.1145/3269206.3274270 dblp:conf/cikm/BeretaKMSD18 fatcat:qj3wguxwwfcutjkom6ecyy35oq

Archiving information from geotagged tweets to promote reproducibility and comparability in social media research

Katharina Kinder-Kurlanda, Katrin Weller, Wolfgang Zenk-Möltgen, Jürgen Pfeffer, Fred Morstatter
2017 Big Data & Society  
Acknowledgements We thank the datorium team and especially Thomas Ebel for their very professional and friendly assistance in archiving this dataset.  ...  However, even if a user of an online platform knowingly shares a piece of information by posting it on the platform, Big Data analysis can publicize and amplify it in a way the user never intended or agreed  ...  The dataset used in the present case study goes beyond that, as it is bigger and more complex due to the inclusion of geo-information.  ... 
doi:10.1177/2053951717736336 fatcat:nvmanrdpmvcj5hbjuwrj7jtzci

The Digital Earth as knowledge engine

Krzysztof Janowicz, Pascal Hitzler
2012 Semantic Web Journal  
We propose to redefine the Digital Earth as a knowledge engine and discuss what the Semantic Web has to offer in this context and to Big Data in general.  ...  on how to combine and interpret the data.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.  ... 
doi:10.3233/sw-2012-0070 fatcat:aktahpqvwrbo5bfv2566vparm4

BigData Analytics Techniques to Obtain Valuable Knowledge

Mohammed Shafakhatullah Khan (Member IAENG), Mohammad Abu Kausar, Shaik Shah Nawaz
2018 Indian Journal of Science and Technology  
It has reviewed six of the techniques that are used by the big data researchers to pick up bits of knowledge by processing and analyzing the big data in limited time.  ...  The objective of this paper is to describe real impact of Big Data analytics techniques in this digital world to obtain valuable knowledge.  ...  In statistics, it is difficult to observer at a set of randomly generated values from data sources in a table and try to obtain knowledge out of it.  ... 
doi:10.17485/ijst/2018/v11i14/120977 fatcat:yffdxd4hszdtnhkytcu3456nvu

Knowledge formalization for Earth Science informed decision-making: The GEOEssential Knowledge Base

Paolo Mazzetti, Stefano Nativi, Mattia Santoro, Gregory Giuliani, Denisa Rodila, Antonietta Folino, Susie Caruso, Giovanna Aracri, Anthony Lehmann
2022 Environmental Science and Policy  
Environmental Science and Policy 131 (2022) 93-104  ...  and innovation programme under grant agreement N. 689443 (ERA-PLANET) and from the Ministry of University and Research of Italy (Decreto MIUR n. 1969.  ...  Acknowledgements The research leading to these results has received funding through the GEOEssential and SMURBS Transnational Projects from the European Commission Horizon 2020 -European Union (EU) research  ... 
doi:10.1016/j.envsci.2021.12.023 fatcat:xglmoat5dzfp7h5ijhcsdzzh4e

Do Big Unstructured Biodiversity Data Mean More Knowledge?

Elisa Bayraktarov, Glenn Ehmke, James O'Connor, Emma L. Burns, Hoang A. Nguyen, Louise McRae, Hugh P. Possingham, David B. Lindenmayer
2019 Frontiers in Ecology and Evolution  
We exemplify this by examining the availability of big unstructured data vs. standardized data using data from global repositories on birds as an example.  ...  We share experiences from the data collation exercise needed to develop the Australian Threatened Species Index.  ...  We acknowledge the Living Planet Index at the Zoological Society of London/WWF and the Global Biodiversity Information Facility for data to support our global data example.  ... 
doi:10.3389/fevo.2018.00239 fatcat:t3vcjjrgtzfrfjibhdqaludkai

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
During the development of deep learning algorithms, a key activity is to establish a large amount of referenced Earth Observation data.  ...  In this publication, we focus on the Polar case which requires the selection of validation areas, the generation of a training dataset, the development and testing of deep learning algorithms, and the  ...  The According to the data characteristics of multi-disciplinary, multi-variables, and different structures, we used and integrated of VDBCloud, Duckling and Science Knowledge Environment(SKE), to build  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

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 author was invited to present ACM Distinguished Lectures on this topic at several international conferences, Chinese Academy of Sciences, British Computer Society, and a number of universities in China  ... 
arXiv:1507.06500v1 fatcat:qpxjdezd45byrci5hbhtmg5pja

Text Mining to Facilitate Domain Knowledge Discovery [chapter]

Chengbin Wang, Xiaogang Ma
2019 Text Mining - Analysis, Programming and Application [Working Title]  
In this book chapter, we will review the latest researches of text mining in the domain of geoscience and present results from a few case studies.  ...  For these data, traditional research methods have limited functions for integrating and mining them to make knowledge discovery.  ...  The information integration and knowledge discovery from the big data of geological literature require further work and will lead to a lot of innovative research topics and applications.  ... 
doi:10.5772/intechopen.85362 fatcat:opipq2cyhrfmjdnw2rewku7spy

The VLab Framework: An Orchestrator Component to Support Data to Knowledge Transition

Mattia Santoro, Paolo Mazzetti, Stefano Nativi
2020 Remote Sensing  
Scientific modeling is key to enable the transition from data to knowledge, often requiring to process big datasets through complex physical or empirical (learning-based AI) models.  ...  Although cloud technologies provide valuable solutions for addressing several of the Big Earth Data challenges, model sharing is still a complex task.  ...  The authors would also like to thank Joost van Bemmelen (ESA) and Gregory Giuliani (University of Geneva) for helpful discussions about the VLab potential use in real-case contexts, and Richard Lucas (  ... 
doi:10.3390/rs12111795 fatcat:3czm24l76fcltovgivycqvn2a4

Data Mining and Knowledge Discovery tools for exploiting big Earth-Observation data

D. Espinoza Molina, M Datcu
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The continuous increase in the size of the archives and in the variety and complexity of Earth-Observation (EO) sensors require new methodologies and tools that allow the end-user to access a large image  ...  All these components are integrated and supported by a relational database management system, ensuring the integrity and consistency of Terabytes of Earth Observation data.  ...  SYSTEM ARCHITECTURE An Earth-Observation data mining and knowledge discovery system intends to implement a communication channel between the Earth-Observation (EO) data sources and the end-user who receives  ... 
doi:10.5194/isprsarchives-xl-7-w3-627-2015 fatcat:d6b63utssncgpbolsbr24zown4

How to extract knowledge of Qualitative Data from Big Textual Data

Jouis Christophe, Orús-Lacort Mercedes
2021 SCIREA Journal of Computer  
In this article, we will analyze how to obtain pertinent Information in the form of Qualitative Data graphically represented from unstructured Big Textual data.  ...  The goal of the research described here is to present an approach for automating the detection and the extraction of meaning from unstructured data using its normalized part: Web of data & Linked Open  ...  project: From Big Data to Smart Data [23] ; or the work of (E.  ... 
doi:10.54647/computer52243 fatcat:273dl3m4r5a5ljvngozxbwf6re

Scientific and Philosophical Aspects of Information and the Relationships among Data, Information, and Knowledge

Christian Bach, Salvatore Belardo
2003 Americas Conference on Information Systems  
In this paper we propose ways to better understand the term information and its relationship to data and knowledge not by looking at the problem from an information science perspective but from what might  ...  Together these ideas can help us better understand the terms data, information, and knowledge and the relationships among them.  ...  In either case, the creation of information from data or from knowledge, naturally involves a knower.  ... 
dblp:conf/amcis/BachB03 fatcat:4faly5yajzfdjjdydlar7laaua

Interactive Visual Big Data Analytics for Large Area Farm Biosecurity Monitoring: i-EKbase System

Ritaban Dutta, Heiko Mueller, Daniel V. Smith, Aruneema Das, Jagannath Aryal
2015 Knowledge Discovery and Data Mining  
system aiming to save the farm from significant economic damage.  ...  We propose a cloud computing based intelligent big data analysis and interactive visual analytics platform to predict farm hot spots with high probability of potential biosecurity threats and early monitoring  ...  Acknowledgments CSIRO Digital Productivity, Hobart is assisted by a grant from the Tasmanian Government, which is administered by the Tasmanian Department of Economic Development, Tourism and the Arts.  ... 
dblp:conf/kdd/DuttaMSDA15 fatcat:alcsol2tt5emzoquxglj4jzuzm

The Evolution of Big Data in Knowledge Management: A Bibliometric Analysis

Tuğba Karaboğa, Yasin Şehitoğlu, Hasan Aykut Karaboğa
2022 Bilgi Dünyası  
The aim of this study is to systematize the literature on big data and knowledge management from a bibliometric perspective and to create a general framework for the past, present and future of the field  ...  To the best of researchers' knowledge, this study is the first bibliometric examination attempt to understand the flow at the intersection of big data and knowledge management over time.  ...  According to this hierarchy, data represents our observations, information is organized or contextualized data, knowledge is data based on our experience or reactions to events, and wisdom comes from insights  ... 
doi:10.15612/bd.2022.645 fatcat:7kb7hzsgzncz5euwedgsbnmxea
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