Semantic-based search engine system for graph images in academic literature

Sarunya Kanjanawattana, Masaomi Kimura

研究成果: Conference contribution

抜粋

It is well known that information retrieval is an essential aspect of search engine systems because there is a very large amount of data published on the internet that cannot be manually searched. However, search engine systems should not only present relevant results but also obtain new knowledge from the user’s searches. For example, new knowledge in academic research areas may be present in images that include graphs. In this study, we utilize methods to extract graphical and textual information from graph images and store this new knowledge in an ontology. We also propose a search engine system that is applicable to an ontology that contains this extractable information, which is extracted from images with graphs. The developed ontology is useful because users can acquire considerable amount of knowledge that is discovered from the semantic relations in the ontology. To evaluate the search engine system, we conducted four simulations to address four main issues. The results indicate that the proposed system provides accurate and relevant results; moreover, as indicated by the high F-measure values, the performance of the system is highly acceptable. However, we also found some limitations, which will be mitigated in a future study.

元の言語English
ホスト出版物のタイトルEAI International Conference on Technology, Innovation, Entrepreneurship and Education - TIE’2017
編集者Angelica Reyes-Munoz, Victor Callaghan, David Crawford, Ping Zheng
出版者Springer Verlag
ページ121-134
ページ数14
ISBN(印刷物)9783030022419
DOI
出版物ステータスPublished - 2019 1 1
イベント1st International Conference on Technology, Innovation, Entrepreneurship and Education, TIE 2017 - Canterbury, United Kingdom
継続期間: 2017 9 112017 9 12

出版物シリーズ

名前Lecture Notes in Electrical Engineering
532
ISSN(印刷物)1876-1100
ISSN(電子版)1876-1119

Conference

Conference1st International Conference on Technology, Innovation, Entrepreneurship and Education, TIE 2017
United Kingdom
Canterbury
期間17/9/1117/9/12

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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  • これを引用

    Kanjanawattana, S., & Kimura, M. (2019). Semantic-based search engine system for graph images in academic literature. : A. Reyes-Munoz, V. Callaghan, D. Crawford, & P. Zheng (版), EAI International Conference on Technology, Innovation, Entrepreneurship and Education - TIE’2017 (pp. 121-134). (Lecture Notes in Electrical Engineering; 巻数 532). Springer Verlag. https://doi.org/10.1007/978-3-030-02242-6_10