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A study of term frequency toward the ability to read an rdf-based node-link diagram visualization

Author(s)
Chawuthai, Rathachai
Date Issued
July 2, 2018
Type
Conference Paper
DOI
10.1109/ECTICon.2018.8620015
Abstract
This paper aims to study the role the term frequency for rearranging triples in an RDF graph diagram from common information to topic-specific information and to evaluate the previous project, RDF4U. Since the analysis cannot be done directly against RDF data due to the lacking of supervised dataset, the text analysis on well-structured articles having well-defined sections about background content and main content is adopted in this study. The result of the experiment demonstrates the feasibility to rearrange triples for different levels of information.
Citation
Ecti Con 2018 15th International Conference on Electrical Engineering Electronics Computer Telecommunications and Information Technology, 58-61, 2018
Subjects

Linked Data

Node-Link Diagram

RDF Visualization

Semantic Web

Term Frequency

Metrics
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