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Ontology-based Design of Experiments on Big Data Solutions [article]

Maximilian Zocholl, Elena Camossi, Anne-Laure Jousselme, Cyril Ray
2019 arXiv   pre-print
A formalization of the Design of Experiments (DoE) on big data solutions is aimed at ensuring the reproducibility of the experiments, facilitating their partitioning in sub-experiments and guaranteeing  ...  In this paper, an ontology-based approach is proposed to support the evaluation of a big data system in two ways.  ...  Acknowledgements This work is supported by the Big Data Analytics for Time Critical Mobility Forecasting (datAcron) project, which has received funding from the European Unions Horizon 2020 research and  ... 
arXiv:1904.08626v1 fatcat:kaor52hg45hntkjw4ggff5htva

Ontology-Based Design Of Experiments On Big Data Solutions

Maximilian Zocholl, Elena Camossi, Anne-Laure Jousselme, Cyril Ray
2018 Zenodo  
Design of Experiments for Big Data Solutions in datAcron. Poster presented at the 2018 International Semantic Web Research Summer School.  ...  DoE on Big Data Solutions = =1 ℎ ℎ = ℎ ℎ ∈ ) • With increasing number of restrictions (e.g., max number of experiments per user), Optimal Design offers locally optimal Designs • If only main effects are  ...  Proposal and Advantages • Semantic-wise decomposition of the big data system, supporting the roll-up of the experiment results at component level to obtain the inter-component level evaluation Ontology-based  ... 
doi:10.5281/zenodo.1441324 fatcat:3qq5hwbos5gwblbzmsy44jjkb4

Ontology-Based Design Of Experiments On Big Data Solutions

Maximilian Zocholl, Elena Camossi, Anne-Laure Jousselme, Cyril Ray
2018 Zenodo  
In this paper the ontology-based approach is proposed to support the evaluation of big data systems.  ...  Secondly, existing work on Design of Experiments (DoE) is translated into an ontology for supporting the selection of experiments.  ...  In this work, we apply ontology based DoE to the experimental evaluation of big data systems.  ... 
doi:10.5281/zenodo.1441307 fatcat:i7mgtfefnrcr7h2ve7hafjhpfi

Steps towards Bridging the HPC and Computational Science Talent Gap Based on Ontology Engineering Methods

Svetlana Chuprina
2015 Procedia Computer Science  
The paper describes an ontology-based methods and framework for design of learning courses covering the HPC and Big Data areas and how to include these into Computational Science training within the remit  ...  It helped bringing together the university and IT-companies around a real industry projects in the field of Big Data with active participation of master's students.  ...  ontology within Protégé Fragment of students Data Base Models ontology within ONTOLIS Fragment of students Big Data ontology within ONTOLIS  ... 
doi:10.1016/j.procs.2015.05.308 fatcat:ef32g6rvvzetxgjuc4rwz26xtq

Moriarty: Improving 'Time To Market' in big data and Artificial intelligence applications

P. Peña, R. Del Hoyo, J. Vea-murguía, V. Rodrigálvarez, J.I. Calvo, J.M. Martín
2016 International Journal of Design & Nature and Ecodynamics  
Moriarty is a tool that can generate Big Data near real-time analytics solutions (Streaming Analytics).  ...  It is based on different Artificial Intelligence algorithms (like Deep Learning, Natural Language Processing and Semantic Web) and Big Datamodules (Spark as a distributed data engine and access to NoSQL  ...  ACKNOWLEDGEMENTS The dissemination of this work has been partly financed by the FSE Operative Programme for Aragon (2014-2020).  ... 
doi:10.2495/dne-v11-n3-230-238 fatcat:6tidnqrkwnaj7fumhnme7dqqyq

Invited Talk: Enabling Smart Data Services for Behavioural Change

Anna Fensel
2017 Young Scientists' International Workshop on Trends in Information Processing  
I demonstrate such approach in general and for selected application domains going beyond the current state of the art of ontology-based service interfacing, integration and user involvement.  ...  the use of Smart Data service enablers for interoperation and human participation and behavior change.  ...  The approach here relies, in particular, on the semantic knowledge modeling layer and ontology-based techniques.  ... 
dblp:conf/ysip/Fensel17 fatcat:2xecisqjyvgvbevhvtocgeoku4

Semantics-Aware Approaches to Big Data Engineering

Alfredo Cuzzocrea, Timos Sellis
2017 Journal on Data Semantics  
The proposed approach clusters users based on the types of interactions they perform, which are retrieved from data sets that were annotated with an interaction ontology, which has been built on top of  ...  based on SPARQL query processing.  ... 
doi:10.1007/s13740-017-0078-7 fatcat:r2mwekcu4zbf7mjjv2scm3lfv4

Managing Semantic Big Data for Intelligence

Anne-Claire Boury-Brisset
2013 Semantic Technologies for Intelligence, Defense, and Security  
The development of this scalable data integration platform rests on the layered dataspace approach, makes use of recent Big Data technologies and leverages ontological models, and semantic-based analysis  ...  Leveraging recent advances in data integration, Semantic Web and Big Data technologies, we are adapting key concepts of unified dataspaces and semantic enrichment for the design and implementation of a  ...  The design and development of MIDIS as a scalable data integration platform rests on the layered dataspace approach and makes use of Big Data technologies.  ... 
dblp:conf/stids/Boury-Brisset13 fatcat:j3f4ajty4bbfzozmuvphgwdiia

Web2Touch 2017: Semantic Technologies in Smart Information Sharing and Web Collaboration

Olga Nabuco, Rodrigo Bonacin, Riccardo Martoglia
2017 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)  
Web2Touch 2018 includes five full papers and one short paper tackling very upto-date issues in information sharing and collaboration, including, among others, big data analytics, development of virtual  ...  The overall focus is on how research on semantics coupled with crucial topics such as big data analysis, privacy, knowledge representation, and enterprise contents management, among the others, can improve  ...  Araujo, presents a framework to design cognitive assistant-based solutions. Software assistants are able to act collaboratively with human agents in favor of collective intelligence.  ... 
doi:10.1109/wetice.2017.49 dblp:conf/wetice/NabucoBM17 fatcat:smq2yajonjco5c7hqxhz3k5474

OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics

Juan Francisco Mendoza-Moreno, Luz Santamaria-Granados, Anabel Fraga Vázquez, Gustavo Ramirez-Gonzalez
2021 Applied Sciences  
This paper outlines the development of the OntoTouTra ontology and how we gathered and processed data from ubiquitous computing using Big Data analysis techniques.  ...  Some studies are related to the construction of ontologies in tourism, but none focus on tourist traceability systems.  ...  Acknowledgments: This research was financially supported by the Ministry of Science, Technology, and Innovation of Colombia (733-2015) and by the Universidad Santo Tomás Seccional Tunja.  ... 
doi:10.3390/app112211061 fatcat:gzabwc344zfolhoxnoaf7ygxae

A Big Data and Time Series Analysis Technology-Based Multi-Agent System for Smart Tourism

Wei-Chih Chen, Wen-Hui Chen, Sheng-Yuan Yang
2018 Applied Sciences  
What-Info III, as based on big data technology [9] , explores the Internet, which is similar to the Internet of Things (information providers are like information sensors on the Internet), and offers the  ...  With the strong information agent system CEOntoIAS (Cloud Extension of Ontological Information Agent Shell) [8], a suitable LBS (location-based service) is selected to achieve the optimal information solution  ...  Acknowledgments: The authors would like to thank Tung-Han Tsai and Ji-Ling Gu for their assistance in earlier system implementation and preliminary experiments.  ... 
doi:10.3390/app8060947 fatcat:fydk2fnrsfgoncho5crx2vrbbq

The role of ontologies in Linked Data, Big Data and Semantic Web applications

Mike Bennett, Kenneth Baclawski, Kenneth Baclawski, Mike Bennett
2017 Applied Ontology  
Within Big Data applications, ontologies appear to have had little impact.  ...  Since the beginnings of the Semantic Web, ontologies have played key roles in the design and deployment of new semantic technologies.  ...  Acknowledgements We wish to acknowledge the help of the members of the Semantic Web for Applied Ontology (SWAO).  ... 
doi:10.3233/ao-170185 fatcat:jqd65d6kdfgohemoraihuot3bi

AgroFIMS: A Tool to Enable Digital Collection of Standards-Compliant FAIR Data

Medha Devare, Céline Aubert, Omar Eduardo Benites Alfaro, Ivan Omar Perez Masias, Marie-Angélique Laporte
2021 Frontiers in Sustainable Food Systems  
that are based on semantic standards like the Agronomy Ontology (AgrO).  ...  data products drawing on these outputs.  ...  They provided insight and expertise that greatly assisted the development of the tool.  ... 
doi:10.3389/fsufs.2021.726646 fatcat:7zfha6ulqbgrjayl7ut7bvaeri

Big Data Integration: A MongoDB Database and Modular Ontologies based Approach

Hanen Abbes, Faiez Gargouri
2016 Procedia Computer Science  
Our approach is based on a NOSQL database namely MongoDB and modular ontologies.  ...  They are widely used in data integration. This paper illustrates an approach for ontology based Big Data integration taking into account their characteristics.  ...  We focus on ontology based NOSQL databases integration approaches and concentrate on recent solutions addressing ontologies for Big Data integration.  ... 
doi:10.1016/j.procs.2016.08.099 fatcat:26jjd4iygzertaachszdlzutn4

A Framework for Enhancing Big Data Integration in Biological Domain Using Distributed Processing

Ameera Almasoud, Hend Al-Khalifa, AbdulMalik Al-salman, Miltiadis Lytras
2020 Applied Sciences  
Based on these parameters, we proposed, implemented, and tested a big data integration framework that integrates big data in the biology domain, based on the domain ontology and using distributed processing  ...  The integration result is a new big data source that combines big data from several critical sources in the biology domain and transforms it into one unified format to help researchers and specialists  ...  Accordingly, we proposed a new semantic big data integration framework that uses the domain ontology based on the distributed processing system to integrate big data on the biology domain.  ... 
doi:10.3390/app10207092 fatcat:quxcbvnbtzeutgv537cdg2uxtm
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