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Information Management and Big Data

4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Juan Antonio Lossio-Ventura

    1. University of Florida, Gainesville, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Hugo Alatrista-Salas

    1. Universidad del Pacífico, Lima, Peru

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 795)

Included in the following conference series:

Conference proceedings info: SIMBig 2017.

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Table of contents (10 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. Parallelization of Conjunctive Query Answering over Ontologies

    • E. Patrick Shironoshita, Da Zhang, Mansur R. Kabuka, Jia Xu
    Pages 1-14

  3. Could Machine Learning Improve the Prediction of Child Labor in Peru?

    • Christian Fernando Libaque-Saenz, Juan Lazo, Karla Gabriela Lopez-Yucra, Edgardo R. Bravo
    Pages 15-30

  4. Impact of Entity Graphs on Extracting Semantic Relations

    • Rashedur Rahman, Brigitte Grau, Sophie Rosset
    Pages 31-47

  5. Predicting Invariant Nodes in Large Scale Semantic Knowledge Graphs

    • Damian Barsotti, Martin Ariel Dominguez, Pablo Ariel Duboue
    Pages 48-60

  6. Privacy-Aware Data Gathering for Urban Analytics

    • Miguel Nunez-del-Prado, Bruno Esposito, Ana Luna, Juandiego Morzan
    Pages 61-75

  7. Purely Synthetic and Domain Independent Consistency-Guaranteed Populations in \(\mathcal {SHIQ}^{(\mathcal {D})}\)

    • Jean-Rémi Bourguet
    Pages 76-89

  8. Language Identification with Scarce Data: A Case Study from Peru

    • Alexandra Espichán-Linares, Arturo Oncevay-Marcos
    Pages 90-105

  9. A Multi-modal Data-Set for Systematic Analyses of Linguistic Ambiguities in Situated Contexts

    • Özge Alaçam, Tobias Staron, Wolfgang Menzel
    Pages 106-122

  10. Community Detection in Bipartite Network: A Modified Coarsening Approach

    • Alan Valejo, Vinícius Ferreira, Maria C. F. de Oliveira, Alneu de Andrade Lopes
    Pages 123-136

  11. Reconstructing Pedestrian Trajectories from Partial Observations in the Urban Context

    • Ricardo Miguel Puma Alvarez, Alneu de Andrade Lopes
    Pages 137-148

  12. Back Matter

    Pages 149-149
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  1. Information Management and Big Data

Keywords

About this book

This book constitutes the refereed proceedings of the 4th Annual International Symposium on Information Management and Big Data, SIMBig 2017, held in Lima, Peru, in September 2017.

The 10 revised full papers presented were carefully reviewed and selected from 71 submissions. The papers address issues such as Data Science, Big Data, Data Mining, Natural Language Processing, Text Mining, Information Retrieval, Machine Learning, Semantic Web, Ontologies, Web Mining, Knowledge Representation and Linked Open Data, Social Web and Web Science, Information Visualization.

Editors and Affiliations

  • University of Florida, Gainesville, USA

    Juan Antonio Lossio-Ventura

  • Universidad del Pacífico, Lima, Peru

    Hugo Alatrista-Salas

Bibliographic Information

  • Book Title: Information Management and Big Data

  • Book Subtitle: 4th Annual International Symposium, SIMBig 2017, Lima, Peru, September 4-6, 2017, Revised Selected Papers

  • Editors: Juan Antonio Lossio-Ventura, Hugo Alatrista-Salas

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-319-90596-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Softcover ISBN: 978-3-319-90595-2Published: 21 April 2018

  • eBook ISBN: 978-3-319-90596-9Published: 20 April 2018

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XIII, 149

  • Number of Illustrations: 33 b/w illustrations

  • Topics: Information Systems and Communication Service, Big Data

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