Coupling of semantic and syntactic graphs generated via tweets to detect local events

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

Local events are important for the local people, tourists and local authorities. However, information about them is limited, or even absent on official websites. We propose an approach to automatically generate a data graph on local events via social network and mobile positioning data. This graph is constructed by the research results of syntactic and semantic data collection and will be used for an intelligent local event recommendation application. The coupling of these two research results makes it possible to discover little-known events or places that are not in the Linked Open Data and at the same time to connect them to it. An online experiment was set up to evaluate the performance of the techniques used in the study on semantic data which concerns the automatic ontology generation. The results allow us to conclude that the performance of the Named Entity Recognition and the choice of threshold score in automatic ontology generation depend on the categories of detected words types.

本文言語英語
ホスト出版物のタイトルProceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022
編集者Tokuro Matsuo, Kunihiko Takamatsu, Yuichi Ono
出版社Institute of Electrical and Electronics Engineers Inc.
ページ128-133
ページ数6
ISBN(電子版)9781665497558
DOI
出版ステータス出版済み - 2022
イベント12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022 - Kanazawa, 日本
継続期間: 7月 2 20227月 7 2022

出版物シリーズ

名前Proceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022

会議

会議12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022
国/地域日本
CityKanazawa
Period7/2/227/7/22

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンスの応用
  • 情報システム
  • 情報システムおよび情報管理
  • 決定科学(その他)

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