A Proposal for a Method of Graph Ontology by Automatically Extracting Relationships between Captions and X- and Y-axis Titles

Sarunya Kanjanawattana, Masaomi Kimura

Abstract

A two dimensional graph is a powerful method for representing a set of objects that usually appears in many sources of literature. Numerous efforts have been made to discover image semantics based on contents of literature. However, conventional methods have not been fully able to satisfy users because a wide variety of techniques are being developed, and each is very useful for enhancing system capabilities in their own way. In this paper, we have developed a method to automatically extract relationships from graphs on the basic of their captions and image content, particularly from graph titles. Furthermore, we improved our idea by applying several technologies such as ontology and a dependency parser. The relationships discovered in a graph are presented in the form of a triple (subject, predicate, object). Our objectives are to find implicit and explicit information in the graph and reduce the semantic gap between an image and literature context. Accuracy was manually estimated to identify the most reliable triple. Based on our results, we concluded that the accuracy via our method was acceptable. Therefore, our method is dependable and worthy of future development.

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Paper Citation


in Harvard Style

Kanjanawattana S. and Kimura M. (2015). A Proposal for a Method of Graph Ontology by Automatically Extracting Relationships between Captions and X- and Y-axis Titles . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015) ISBN 978-989-758-158-8, pages 231-238. DOI: 10.5220/0005602102310238


in Bibtex Style

@conference{keod15,
author={Sarunya Kanjanawattana and Masaomi Kimura},
title={A Proposal for a Method of Graph Ontology by Automatically Extracting Relationships between Captions and X- and Y-axis Titles},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)},
year={2015},
pages={231-238},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005602102310238},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD, (IC3K 2015)
TI - A Proposal for a Method of Graph Ontology by Automatically Extracting Relationships between Captions and X- and Y-axis Titles
SN - 978-989-758-158-8
AU - Kanjanawattana S.
AU - Kimura M.
PY - 2015
SP - 231
EP - 238
DO - 10.5220/0005602102310238