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.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings - 2017 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017 |
| 出版者 | 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 | |
| 出版物ステータス | 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
| Other | 1st International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017 |
|---|---|
| 国 | Hungary |
| 市 | Budapest |
| 期間 | 17/10/20 → 17/10/22 |
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ASJC Scopus subject areas
- Computer Science Applications
- Artificial Intelligence
これを引用
A Native Topic Map Database Management System and Its N-gram Index for Efficient Search of Topics. / Yuta, Shibata; Kimura, Masaomi; Yuki, Toba.
Proceedings - 2017 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017. 巻 2018-February Institute of Electrical and Electronics Engineers Inc., 2018. p. 158-163 8294178.研究成果: Conference contribution
}
TY - GEN
T1 - A Native Topic Map Database Management System and Its N-gram Index for Efficient Search of Topics
AU - Yuta, Shibata
AU - Kimura, Masaomi
AU - Yuki, Toba
PY - 2018/2/16
Y1 - 2018/2/16
N2 - 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.
AB - 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.
KW - data mining
KW - database management system
KW - indexing;
KW - topic maps
UR - http://www.scopus.com/inward/record.url?scp=85052404732&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85052404732&partnerID=8YFLogxK
U2 - 10.1109/ISCSIC.2017.44
DO - 10.1109/ISCSIC.2017.44
M3 - Conference contribution
AN - SCOPUS:85052404732
VL - 2018-February
SP - 158
EP - 163
BT - Proceedings - 2017 International Symposium on Computer Science and Intelligent Controls, ISCSIC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -