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Authors: José Devezas and Álvaro Figueira

Affiliation: Universidade do Porto, Portugal

Keyword(s): Visualization, Networks, Communities, Interactive, Named Entities, News Clips.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Data Analytics ; Data Engineering ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Symbolic Systems ; Visual Data Mining and Data Visualization

Abstract: Interactive visualization systems are powerful tools in the task of exploring and understanding data. We describe two implementations of this approach, where a multidimensional network of news clips is depicted by taking advantage of its community structure. The first implementation is a multiresolution map of news clips that uses topic detection both at the clip level and at the community level, in order to assign labels to the nodes in each resolution. The second implementation is a traditional force-directed network visualization with several additional interactive aspects that provide a rich user experience for knowledge discovery. We describe a common use case for the visualization systems as a journalistic research and knowledge discovery tool. Both systems illustrate the links between news clips, induced by the co-occurrence of named entities, as well as several metadata fields based on the information contained within each node.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Devezas, J. and Figueira, Á. (2012). Interactive Visualization of a News Clips Network - A Journalistic Research and Knowledge Discovery Tool. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR; ISBN 978-989-8565-29-7; ISSN 2184-3228, SciTePress, pages 157-162. DOI: 10.5220/0004108701570162

@conference{kdir12,
author={José Devezas. and Álvaro Figueira.},
title={Interactive Visualization of a News Clips Network - A Journalistic Research and Knowledge Discovery Tool},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR},
year={2012},
pages={157-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004108701570162},
isbn={978-989-8565-29-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2012) - KDIR
TI - Interactive Visualization of a News Clips Network - A Journalistic Research and Knowledge Discovery Tool
SN - 978-989-8565-29-7
IS - 2184-3228
AU - Devezas, J.
AU - Figueira, Á.
PY - 2012
SP - 157
EP - 162
DO - 10.5220/0004108701570162
PB - SciTePress