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VisualFacts: A Platform for In-Situ Visual Exploration and Real-Time Entity Resolution

George Papastefanatos, Giorgos Alexiou, Nikos Bikakis, Stavros Maroulis, Vassilis Stamatopoulos
2022 International Conference on Extending Database Technology  
VisualFacts combines in-situ visualization with real-time entity resolution capabilities to address scenarios where users wish to visual explore and efficiently perform analytic operations directly on  ...  VisualFacts is an open-source data visualization platform for big geo-located data.  ...  Introduction In-situ visual exploration and analysis has become a common practise due to the availability of big datasets in raw formats (e.g., csv/json).  ... 
dblp:conf/edbt/PapastefanatosA22 fatcat:k5ldw6slqnerxmz6y6zso2bsoq

RawVis: Visual Exploration over Raw Data [chapter]

Nikos Bikakis, Stavros Maroulis, George Papastefanatos, Panos Vassiliadis
2018 Lecture Notes in Computer Science  
Data exploration and visual analytics systems are of great importance in Open Science scenarios, where less tech-savvy researchers wish to access and visually explore big raw data files (e.g., json, csv  ...  In this work, we present our work for enabling efficient in site query processing on big raw data files for interactive visual exploration scenarios.  ...  Introduction In situ data exploration [1, [15] [16] [17] is a recent trend in raw data management, which aims at enabling on-the-fly scalable querying over large sets of volatile raw data, by avoiding  ... 
doi:10.1007/978-3-319-98398-1_4 fatcat:vossh7km3fhsznlhfwipbwoqfq

Adaptive Indexing for In-situ Visual Exploration and Analytics

Stavros Maroulis, Nikos Bikakis, George Papastefanatos, Panos Vassiliadis, Yannis Vassiliou
2021 International Workshop on Data Warehousing and OLAP  
In this work, we present an adaptive indexing scheme that enables efficient visual exploration and analytics over big raw data files.  ...  In in-situ scenarios, big raw data files which do not fit in main memory, must be efficiently handled using commodity hardware, without the overhead of a preprocessing phase or the loading of data into  ...  In the last few years, the in-situ paradigm has been adopted in the context of data exploration scenarios, referring to data access methods that enable the analysis over large sets of raw data, i.e., data  ... 
dblp:conf/dolap/MaroulisBPVV21 fatcat:yygjsk4a55d6fpksbjzq435tbe

Big Data Visualization Tools [article]

Nikos Bikakis
2018 arXiv   pre-print
Data visualization is the presentation of data in a pictorial or graphical format, and a data visualization tool is the software that generates this presentation.  ...  Data visualization provides users with intuitive means to interactively explore and analyze data, enabling them to effectively identify interesting patterns, infer correlations and causalities, and supports  ...  In situ data exploration [16, 39, 40, 41, 42, 43] is a recent trend, which aims at enabling on-the-fly exploration over large and dynamic sets of data, without (pre)processing (e.g., loading, indexing  ... 
arXiv:1801.08336v2 fatcat:n4kdbz6iyzbdrd2ycmh7uu7zle

Study on Potential Capabilities of a Nodb System

Jayanta Singh Y, Kananbala Devi L
2014 International Journal on Information Theory  
Complex application and Big Table require highly optimized queries. Users are facing the increasing bottlenecks in their data analysis.  ...  Data loading cost, b-Query processing timing, c-Avoidance of Collision and Deadlock, d-Enabling the Big data storage and e-Optimize query processing etc.  ...  The main bottleneck of in situ query processing is the access to raw data. The aim of PostgresRaw of the study is geared towards improving access on raw data in two ways by 1.  ... 
doi:10.5121/ijit.2014.3309 fatcat:o2vz6jmhafc7xjclzkb7vo3c6i

Scientific Data Analysis Using Data-Intensive Scalable Computing: The SciDISC Project

Patrick Valduriez, Marta Mattoso, Reza Akbarinia, Heraldo Borges, Jose J. Camata, Alvaro L. G. A. Coutinho, Daniel Gaspar, Noel Moreno Lemus, Ji Liu, Hermano Lustosa, Florent Masseglia, Fabrício Nogueira da Silva (+8 others)
2018 Very Large Data Bases Conference  
In this context, the SciDISC project addresses the grand challenge of scientific data analysis using DISC, by developing architectures and methods to combine simulation and data analysis.  ...  SciDISC is an ongoing project between Inria, several research institutions in Rio de Janeiro and NYU.  ...  The experiments in SciDISC are carried out using the Inria Grid'5000 testbed (, NACAD/COPPE supercomputers and LNCC SINAPAD Santos Dumont supercomputer (  ... 
dblp:conf/vldb/ValduriezMABCCG18 fatcat:fk2hp6vhxjebtpgpi7y6p3b24e

Big Data and Cloud Computing [chapter]

Yun Li, Manzhu Yu, Mengchao Xu, Jingchao Yang, Dexuan Sha, Qian Liu, Chaowei Yang
2019 Manual of Digital Earth  
Big Earth data are increasing tremendously with growing heterogeneity, posing grand challenges for the data management lifecycle of storage, processing, analytics, visualization, sharing, and applications  ...  This chapter introduces Digital Earth data sources, analytical methods, and architecture for data analysis and describes how cloud computing supports big data processing in the context of Digital Earth  ...  In situ data are big data considering the volume, velocity, and veracity.  ... 
doi:10.1007/978-981-32-9915-3_9 fatcat:n4drlq63tvfczbvfaopvkkhec4

Estimating Shear Strength Properties of the Surrounding Soils Based on the Execution Energies of Piles

Luan Carlos de Sena Monteiro Ozelim, Darym Júnior Ferrari de Ferrari de Campos, André Luís Brasil Cavalcante, José Camapum de Camapum de Carvalho, Carlos Medeiros Silva
2022 Geotechnics  
Big data (BD) workflows enable the use of massive data available to update the correlations and to provide more accurate predictions of the parameters studied.  ...  Even in situ tests rely on empirical correlation formulas, which link observed phenomena to soil properties. These correlations should be updated according to the specific design conditions.  ...  Data Availability Statement: The data used are available upon request to the corresponding author.  ... 
doi:10.3390/geotechnics2020022 fatcat:oonojf3hl5buper7s3ojh5345e

Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems

Pekka Pääkkönen, Daniel Pakkala
2015 Big Data Research  
Additionally, we acknowledge developers and publishers of the reviewed big data use cases, whose publications were used as empirical material in this study.  ...  Acknowledgements The authors acknowledge Markus Meier for design of the reference architecture for big data systems, which inspired the authors for replication and differentiation in this work.  ...  [16] discussed OLAP over big data, big data posting and privacy as part of big data research agenda.  ... 
doi:10.1016/j.bdr.2015.01.001 fatcat:diyyx34wqzewbcwshq2yezsxm4

A Big Data Architecture For Managing Oceans Of Data And Maritime Applications

Ioanna Lytra, Maria-Esther Vidal, Fabrizio Orlandi, Judie Attard
2017 Zenodo  
A Big Data Architecture for Managing Oceans of Data and Maritime Applications  ...  The identified discoveries are passed to the visualization components to explore the predicted associations and patterns. VI.  ...  In our Big Maritime Data Architecture, maritime data is kept in raw format and allows data integration and query execution on-the-fly. VII.  ... 
doi:10.5281/zenodo.815360 fatcat:lxblkrfkozfqxbqq72aeaatcxi

Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community

Zaheed Gaffoor, Kevin Pietersen, Nebo Jovanovic, Antoine Bagula, Thokozani Kanyerere
2020 Water  
In conclusion, the paper shows that sufficient big data exist in groundwater domain and that BDA exists to be used in groundwater sciences thereby providing the basis to further explore data-driven sciences  ...  Through a review of the literature, this paper defines the concepts of big data, big data sources in groundwater, big data analytics, big data platforms and framework and how they can be used to support  ...  be applied to improve accuracy in the raw data.  ... 
doi:10.3390/w12102796 fatcat:7je4w43adzcetow6dyrzmwoh5a

Visualization of Climate Science Simulation Data

Niklas Rober, Michael Bottinger, Bjorn Stevens, Amit Agrawal, Francesca Samsel
2021 IEEE Computer Graphics and Applications  
This article focuses on developments and trends in the scientific workflow for the analysis and visualization of climate simulation data, as well as on changes in the visualization techniques and tools  ...  Climate simulations belong to the most data-intensive scientific disciplines and are-in relation to one of humankind's largest challenges, i.e., facing anthropogenic climate change-ever more important.  ...  We also experiment with the possibility to train a neural network online, by routing the training data directly over the in situ Catalyst adaptor to an AI training framework.  ... 
doi:10.1109/mcg.2020.3043987 pmid:33444129 fatcat:64sp5b53kvdzdadf2dajzlhl7a

In situ, steerable, hardware-independent and data-structure agnostic visualization with ISAAC

2016 Supercomputing Frontiers and Innovations  
We introduce the in situ template library ISAAC which enables arbitrary applications like scientific simulations to live visualize their data without the need of deep copy operations or data transformation  ...  Especially applications using hardware accelerators like Nvidia GPUs cannot save enough data to be analyzed in a later step. There is a high risk of loosing important scientific information.  ...  In situ, steerable, hardware-independent and data-structure agnostic visualization with... Figure 5 .  ... 
doi:10.14529/jsfi160403 fatcat:yfib43bwajds7lhee3gzklry5i

Interactive Data Exploration of Distributed Raw Files: A Systematic Mapping Study

Alejandro Alvarez-Ayllon, Manuel Palomo-Duarte, Juan-Manuel Dodero
2019 IEEE Access  
Here, we intend to review the current state-of-the-art of interactive data exploration, aiming at satisfying three requirements: access to raw data files, stored in a distributed environment, and with  ...  When exploring big amounts of data without a clear target, providing an interactive experience becomes really difficult, since this tentative inspection usually defeats any early decision on data structures  ...  [54] , resulting on a visual exploration tool for raw data files.  ... 
doi:10.1109/access.2018.2882244 fatcat:wdflglk4grdkfkvwziwbexoay4

The Allen Brain Atlas as a Resource for Teaching Undergraduate Neuroscience

Terri L Gilbert
2018 Journal of Undergraduate Neuroscience Education  
These open data have been paired with unique navigation and visualization tools such that the neuroscience researcher can explore, utilize and even incorporate these data into their publications.  ...  The open science movement has resulted in a growing field of data- and tool-sharing platforms that serve as a resource not only for sharing data and results in the field of brain science but has allowed  ...  In order to make this vast amount of image data accessible, informatics and visualization tools were developed that, when integrated with the images, gave the online user the ability to navigate and explore  ... 
pmid:30254541 pmcid:PMC6153011 fatcat:ilduhxawnrgffkvmgq3cnkz7cy
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