Paper Abstract and Keywords |
Presentation |
2017-01-20 09:45
Study on Configuration of Semantic Retrieval System using Shingu Town LOD Toshihiko Wakahara, Toshitaka Maki, Takuya Yamashita, Daiki Sakai, Yosuke Matsumae, Kazuki Takahashi, Akihiro Yamaguchi (FIT), Toru Kobayashi (Nagasaki Univ.), Akiyuki Kodate (Tsuda College), Noboru Sonehara (NII) ICM2016-48 LOIS2016-57 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, the tourism-related data are converted into the RDF (Resource Description Framework) data and stored as LOD (Linked Open Data) database in the local community system. N-triple data are generated by parsing the texts and connected to other related terms. Therefore the relationship could be realized close to the ontology. The authors have developed the prototype system of the Shingu Town Portal Site. In this proto type system, the tourist vocabulary base has been made and the semantic retrieval can be realized by the RDF query language, SPARQL The experimental results of the semantic retrieval system show the good performance and the validity of the proposed system is confirmed. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
LOD / RDF / Triple Data / Tourism data / Semantic retrieval / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 405, LOIS2016-57, pp. 51-56, Jan. 2017. |
Paper # |
LOIS2016-57 |
Date of Issue |
2017-01-12 (ICM, LOIS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
ICM2016-48 LOIS2016-57 |
|