A proposal for a method of graph ontology by automatically extracting relationships between captions and X- and Y-axis titles

Sarunya Kanjanawattana, Masaomi Kimura

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルKEOD
編集者Ana Fred, Jan Dietz, David Aveiro, Kecheng Liu, Joaquim Filipe, Joaquim Filipe
出版社SciTePress
ページ231-238
ページ数8
ISBN(電子版)9789897581588
DOI
出版ステータスPublished - 2015
イベント7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015 - Lisbon, Portugal
継続期間: 2015 11 122015 11 14

出版物シリーズ

名前IC3K 2015 - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
2

Other

Other7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2015
CountryPortugal
CityLisbon
Period15/11/1215/11/14

ASJC Scopus subject areas

  • Software

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