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Authors: Muhammad Faisal Cheema 1 ; Stefan Jänicke 1 ; Judith Blumenstein 2 and Gerik Scheuermann 1

Affiliations: 1 Institute for Computer Science and Leipzig University, Germany ; 2 Leipzig University, Germany

Keyword(s): Text Visualization, Digital Humanities, Distant Reading, Concept Search, Information Retrieval, Concept Editor, Concept Modeling.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Graph Visualization ; Information and Scientific Visualization ; Text and Document Visualization ; Visual Data Analysis and Knowledge Discovery ; Visualization Applications ; Visualization Taxonomies and Models

Abstract: We introduce a concept search environment that caters for the needs of humanities scholars who want to improve the accuracy of search results when querying historical text corpora. For this purpose, we designed a so-called Concept Editor that allows to model historical concepts in a diagram style according to the imaginations of the humanities scholar. For the inspection of results determined in the proposed concept search, we provide a Concept Search Results Viewer that uses the existent layout of the underlying concept model to visualize related texts according to the relevance to the given concept. We further designed the overall system the way that the humanities scholar can iteratively refine the concept idea, which leads to a gradual improvement of search results. To illustrate the whole development pipeline, we provide a usage scenario on modeling the concept epilepsy with the purpose of improving the accuracy of results compared to usual applied keyword-based search methods.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Cheema, M.; Jänicke, S.; Blumenstein, J. and Scheuermann, G. (2016). A Directed Concept Search Environment to Visually Explore Texts Related to User-defined Concept Models. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - IVAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 72-83. DOI: 10.5220/0005727400720083

@conference{ivapp16,
author={Muhammad Faisal Cheema. and Stefan Jänicke. and Judith Blumenstein. and Gerik Scheuermann.},
title={A Directed Concept Search Environment to Visually Explore Texts Related to User-defined Concept Models},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - IVAPP},
year={2016},
pages={72-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005727400720083},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - IVAPP
TI - A Directed Concept Search Environment to Visually Explore Texts Related to User-defined Concept Models
SN - 978-989-758-175-5
IS - 2184-4321
AU - Cheema, M.
AU - Jänicke, S.
AU - Blumenstein, J.
AU - Scheuermann, G.
PY - 2016
SP - 72
EP - 83
DO - 10.5220/0005727400720083
PB - SciTePress