A Native Topic Map Database Management System and Its N-gram Index for Efficient Search of Topics

Shibata Yuta, Masaomi Kimura, Toba Yuki

研究成果: Conference contribution

抄録

A topic map has composed a topic expressing concepts, an association between the concepts and a role of association. A topic map database is currently existed to be utilized to a system. The existing Topic map database (TMDB) uses a system such as relational database and object oriented database, and it was necessary to convert from the structure of each system to a topic map structure. Therefore, we propose a native TMDB management system that can store and manipulate data without changing the data structure. Topics connected directly in adjacency list using memory mapped files realize to search at high speed. In addition, we propose a method to speed up the search of the topic based on its nature.

本文言語English
ホスト出版物のタイトルProceedings - 2017 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ158-163
ページ数6
巻2018-February
ISBN（電子版）9781538629413
DOI
出版ステータスPublished - 2018 2 16
イベント1st International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017 - Budapest, Hungary
継続期間: 2017 10 20 → 2017 10 22

Other

Other1st International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017
CountryHungary
CityBudapest
Period17/10/20 → 17/10/22

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence

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