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

Shibata Yuta, Masaomi Kimura, Toba Yuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2017 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages158-163
Number of pages6
Volume2018-February
ISBN (Electronic)9781538629413
DOIs
Publication statusPublished - 2018 Feb 16
Event1st International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017 - Budapest, Hungary
Duration: 2017 Oct 202017 Oct 22

Other

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

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Keywords

  • data mining
  • database management system
  • indexing;
  • topic maps

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence

Cite this

Yuta, S., Kimura, M., & Yuki, T. (2018). A Native Topic Map Database Management System and Its N-gram Index for Efficient Search of Topics. In Proceedings - 2017 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017 (Vol. 2018-February, pp. 158-163). [8294178] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCSIC.2017.44