The Sixth International Conference on Big Data, Small Data, Linked Data and Open Data

ALLDATA 2020

February 23, 2020 to February 27, 2020 - Lisbon, Portugal

Deadlines

Submission

Nov 12, 2019

Notification

Dec 12, 2019

Registration

Dec 26, 2019

Camera ready

Jan 09, 2020

Publication

Published by IARIA XPS Press

Archived in the free access ThinkMind Digital Library

Prints available at Curran Associates, Inc.

Authors of selected papers will be invited to submit extended versions to a IARIA Journal

Indexing Procedure

Affiliated Journals

ALLDATA 2020 - The Sixth International Conference on Big Data, Small Data, Linked Data and Open Data

February 23, 2020 - February 27, 2020

ALLDATA 2020

ISSN: 2519-8386
ISBN: 978-1-61208-775-7

ALLDATA 2020 is colocated with the following events as part of NexComm 2020.

  • ICDT 2020, The Fifteenth International Conference on Digital Telecommunications
  • SPACOMM 2020, The Twelfth International Conference on Advances in Satellite and Space Communications
  • ICN 2020, The Nineteenth International Conference on Networks
  • ICONS 2020, The Fifteenth International Conference on Systems
  • MMEDIA 2020, The Twelfth International Conference on Advances in Multimedia
  • PESARO 2020, The Tenth International Conference on Performance, Safety and Robustness in Complex Systems and Applications
  • CTRQ 2020, The Thirteenth International Conference on Communication Theory, Reliability, and Quality of Service
  • ALLDATA 2020, The Sixth International Conference on Big Data, Small Data, Linked Data and Open Data
  • SOFTENG 2020, The Sixth International Conference on Advances and Trends in Software Engineering

Special tracks:

KESA: Knowledge Extraction and Semantic Annotation
Chair and Coordinator: Maaike de Boer, TNO, Netherlands maaike.deboer@tno.nl

CSBM: Complex Systems in Business and Management
Chairs:
Samrat Gupta, Assistant Professor, Indian Institute of Management Ahmedabad, India samratg@iima.ac.in
Pradeep Kumar, Associate Professor, Indian Institute of Management Lucknow, India pradeepkumar@iiml.ac.in
Coordinators:
Kiran Rama, Doctoral Candidate, Indian Institute of Management Lucknow, India efpm04013@iiml.ac.in
Debasmita Dey, Doctoral Candidate, Indian Institute of Management Lucknow, India fpm17006@iiml.ac.in

ALLDATA 2020 conference tracks:

Challenges in processing Big Data and applications
Data classification: small/big/huge, volume, velocity, veridicity, value, etc; Data properties: syntax, semantics, sensitivity, similarity, scarcity, spacial/temporal, completeness, accuracy, compactness, etc.; Data processing: mining, searching, feature extraction, clustering, aggregating, rating, filtering, etc.; Data relationships: linked data, open data, linked open data, etc. Exploiting big/linked data: upgrading legacy open data, integrating probabilist models, spam detection, datasets for noise corrections, predicting reliability, pattern mining, linking heterogeneous dataset collections, exploring type-specific topic profiles of datasets, efficient large-scale ontology matching etc.; Applications: event-based linked data, large scale multi-dimensional network analysis, error detection of atmospheric data,  exploring urban data in smart cities, studying health fatalities,  estimating the energy demand at real-time in cellular networks, multilingual word sense disambiguation, creating open source tool for semantically enriching data, etc.

Advanced topics in Deep/Machine learning
Distributed and parallel learning algorithms; Image and video coding; Deep learning and Internet of Things; Deep learning and Big data; Data preparation, feature selection, and feature extraction; Error resilient transmission of multimedia data; 3D video coding and analysis; Depth map applications; Machine learning programming models and abstractions; Programming languages for machine learning; Visualization of data, models, and predictions; Hardware-efficient machine learning methods; Model training, inference, and serving; Trust and security for machine learning applications; Testing, debugging, and monitoring of machine learning  applications; Machine learning for systems.

Big Data
Big data foundations; Big data architectures; Big data semantics, interoperability, search and mining; Big data transformations, processing and storage; Big Data management lifecycle, Big data simulation, visualization, modeling tools, and algorithms; Reasoning on Big data; Big data analytics for prediction; Deep Analytics; Big data and cloud technologies; Big data and Internet of Things; High performance computing on Big data; Scalable access to Big Data; Big data quality and provenance, Big data persistence and preservation; Big data protection, integrity, privacy, and pseudonymisation mechanisms; Big data software (libraries, toolkits, etc.); Big Data visualisation and user experience mechanisms; Big data understanding (knowledge discovery, learning, consumer intelligence); Unknown in large Data Graphs; Applications of Big data (geospatial/environment, energy, media, mobility, health, financial, social, public sector, retail, etc.); Business-driven Big data; Big Data Business Models; Big data ecosystems; Big data innovation spaces; Big Data skills development; Policy, regulation and standardization in Big data; Societal impacts of Big data

Small Data
Social networking small data; Relationship between small data and big data; Statistics on Small data; Handling Small data sets; Predictive modeling methods for Small data sets; Small data sets versus Big Data sets; Small and incomplete data sets; Normality in Small data sets; Confidence intervals of small data sets; Causal discovery from Small data sets; Deep Web and Small data sets; Small datasets for benchmarking and testing; Validation and verification of regression in small data sets; Small data toolkits; Data summarization

Linked Data
RDF and Linked data; Deploying Linked data; Linked data and Big data; Linked data and Small data; Evolving the Web into a global data space via Linked data; Practical semantic Web via Linked data; Structured dynamics and Linked data sets; Quantifying the connectivity of a semantic Linked data; Query languages for Linked data; Access control and security for Linked data; Anomaly detection via Linked data; Semantics for Linked data; Enterprise internal data 'silos' and Linked data; Traditional knowledge base and Linked data; Knowledge management applications and Linked data; Linked data publication; Visualization of Linked data; Linked data query builders; Linked data quality

Open Data
Open data structures and algorithms; Designing for Open data; Open data and Linked Open data; Open data government initiatives; Big Open data; Small Open data; Challenges in using Open data (maps, genomes, chemical compounds, medical data and practice, bioscience and biodiversity); Linked open data and Clouds; Private and public Open data; Culture for Open data or Open government data; Data access, analysis and manipulation of Open data; Open addressing and Open data; Specification languages for Open data; Legal aspects for Open data; Open Data publication methods and technologies, Open Data toolkits; Open Data catalogues, Applications using Open Data; Economic, environmental, and social value of Open Data; Open Data licensing; Open Data Business models; Data marketplaces


Deadlines:

Submission

Nov 12, 2019

Notification

Dec 12, 2019

Registration

Dec 26, 2019

Camera ready

Jan 09, 2020