loading
Documentation
  • Login
  • Sign-Up

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Belgin Mutlu 1 ; Patrick Hoefler 1 ; Gerwald Tschinkel 1 ; Eduardo Veas 1 ; Vedran Sabol 2 ; Florian Stegmaier 3 and Michael Granitzer 3

Affiliations: 1 Know-Center, Austria ; 2 Know Center GmbH and Graz University of Technology, Austria ; 3 University of Passau, Germany

ISBN: 978-989-758-005-5

Keyword(s): Linked Data, RDF Data Cube, Visualisation, Visual Mapping, Research Data.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; Interactive Visual Interfaces for Visualization ; Knowledge-Assisted Visualization ; Scientific Visualization ; Spatial Data Visualization ; Visual Data Analysis and Knowledge Discovery

Abstract: Research papers are published in various digital libraries, which deploy their own meta-models and technologies to manage, query, and analyze scientific facts therein. Commonly they only consider the meta-data provided with each article, but not the contents. Hence, reaching into the contents of publications is inherently a tedious task. On top of that, scientific data within publications are hardcoded in a fixed format (e.g. tables). So, even if one manages to get a glimpse of the data published in digital libraries, it is close to impossible to carry out any analysis on them other than what was intended by the authors. More effective querying and analysis methods are required to better understand scientific facts. In this paper, we present the web-based CODE Visualisation Wizard, which provides visual analysis of scientific facts with emphasis on automating the visualisation process, and present an experiment of its application. We also present the entire analytical process and the corresponding tool chain, including components for extraction of scientific data from publications, an easy to use user interface for querying RDF knowledge bases, and a tool for semantic annotation of scientific data sets. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SCITEPRESS user or Join INSTICC now for free.

Sign In SCITEPRESS user: please login.

Sign In INSTICC Members: please login. If not a member yet, Join INSTICC now for free.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.159.124.79. INSTICC members have higher download limits (free membership now)

In the current month:
Recent papers: 1 available of 1 total
2+ years older papers: 2 available of 2 total

Paper citation in several formats:
Mutlu B., Hoefler P., Tschinkel G., Veas E., Sabol V., Stegmaier F. and Granitzer M. (2014). Suggesting Visualisations for Published Data.In Proceedings of the 5th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2014)ISBN 978-989-758-005-5, pages 267-275. DOI: 10.5220/0004674902670275

@conference{ivapp14,
author={Belgin Mutlu and Patrick Hoefler and Gerwald Tschinkel and Eduardo Veas and Vedran Sabol and Florian Stegmaier and Michael Granitzer},
title={Suggesting Visualisations for Published Data},
booktitle={Proceedings of the 5th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2014)},
year={2014},
pages={267-275},
doi={10.5220/0004674902670275},
isbn={978-989-758-005-5},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Visualization Theory and Applications (VISIGRAPP 2014)
TI - Suggesting Visualisations for Published Data
SN - 978-989-758-005-5
AU - Mutlu B.
AU - Hoefler P.
AU - Tschinkel G.
AU - Veas E.
AU - Sabol V.
AU - Stegmaier F.
AU - Granitzer M.
PY - 2014
SP - 267
EP - 275
DO - 10.5220/0004674902670275

Sorted by: Show papers

Note: The preferred Subjects/Areas/Topics, listed below for each paper, are those that match the selected paper topics and their ontology superclasses.
More...

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.

Show authors

Note: The preferred Subjects/Areas/Topics, listed below for each author, are those that more frequently used in the author's papers.
More...