Submit a Paper

Propose a Workshop

Propose a Mini Symposium

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


April 19 - 24, 2015 - Barcelona, Spain

Technical Co-Sponsors and Logistics Supporters
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  • Colocated with other events part of NexComm 2015
  • Featuring the workshop
    • KESA 2015: The International Workshop on Knowledge Extraction and Semantic Annotation
  • Posters will be presented during the conference
  • A Work in Progress track is available for preliminary work
  • A Research Ideas track is available for ideas in early stages
  • A Doctoral Forum track is available for discussing and publishing early PhD thesis research
due to winter holidays, submission deadline has been extended
Submission (full paper)

Nov 24 December 30, 2014


February 2, 2015


February 15, 2015

Camera ready

March 6, 2015

ISSN: to be announced
ISBN: 978-1-61208-445-9

Published by IARIA XPS Press

Archived in the free access ThinkMindTM Digital Library
Prints available at Curran Associates, Inc.
Authors of selected papers will be invited to submit extended versions to a IARIA Journal
Articles will be submitted to appropriate indexes.

All tracks/topics are open to both research and industry contributions.


Big data foundations; Big data understanding (knowledge discovery, learning, consumer intelligence); Big data semantics, search and mining; Big data processing and transformations; Big data handling, simulation, visualization, modeling tools, and algorithms; Managing big data (large-scale, integration, etc.); Unknown in large Data Graphs; Reasoning on Big data; Big data analytics for prediction; Applications of Big data (health, financial, social, weather forecasting, etc.; Business-driven Big data; Big data and cloud technologies; Technologies handling Big data; High performance computing on Big data; Big data persistence and preservation; Big data protection, integrity and privacy ; Big data toolkits

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

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

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


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