Developing a mountaineering plan sharing system based on information extraction from unstructured documents

被引:0
|
作者
Nohara, Akihiro [1 ]
Shiramatsu, Shun [1 ]
Ozono, Tadachika [1 ]
Shintani, Toramatsu [1 ]
机构
[1] Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Gokisocho, Showa-ku, Nagoya
关键词
Database; Information Extraction; Information Retrieval; Machine-Readable; Microsoft Word; Mountaineering Plan;
D O I
10.1541/ieejeiss.135.1470
中图分类号
学科分类号
摘要
We developed a climbing plan sharing system. While climbing plan documents that have been created in Microsoft Word or PDF format have a lot of climbing information, a computer cannot understand climbing information efficiently because the climbing information is written in a natural language. We developed a system that converts a climbing plan document into a machine-readable climbing plan. Also we have implemented a function to share climbing plans among users. The system can display a climbing plan on a Web browser effectively. Our system can help climbers to share machine-readable climbing plan documents. Therefore, users can share and accumulate climbing information that are difficult a climbing plan document written in a natural language. © 2015 The Institute of Electrical Engineers of Japan.
引用
收藏
页码:1470 / 1480
页数:10
相关论文
共 50 条
  • [21] Ontology-Based Hazard Information Extraction from Chinese Food Complaint Documents
    Yang, Xiquan
    Gao, Rui
    Han, Zhengfu
    Sui, Xin
    ADVANCES IN SWARM INTELLIGENCE, ICSI 2012, PT II, 2012, 7332 : 155 - 163
  • [22] Ontological-Based Information Extraction of Construction Tender Documents
    Mohemad, Rosmayati
    Hamdan, Abdul Razak
    Othman, Zulaiha Ali
    Noor, Noor Maizura Mohamad
    ADVANCES IN INTELLIGENT WEB MASTERING 3, 2011, 86 : 153 - +
  • [23] The Research of Information Extraction in Information System from SQL Server Based on System Table
    Chen, Huantong
    Zheng, Wei
    Chen, Yaofei
    Ni, Yinghua
    ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEM AND MATERIAL ENGINEERING, 2013, 675 : 35 - +
  • [24] A general framework for subjective information extraction from unstructured English text
    Mangassarian, Hratch
    Artail, Hassan
    DATA & KNOWLEDGE ENGINEERING, 2007, 62 (02) : 352 - 367
  • [25] Extraction of Information from Public Health Emergency Web Documents
    Wang, Li
    Zhang, Yuanpeng
    Qian, Danmin
    Yao, Min
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTOMATION, MECHANICAL CONTROL AND COMPUTATIONAL ENGINEERING, 2015, 124 : 765 - 770
  • [26] XML as a means to support information extraction from legal documents
    Martínez, MM
    de la Fuente, P
    Derniame, JC
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2003, 18 (05): : 263 - 277
  • [27] Jointly Learning Span Extraction and Sequence Labeling for Information Extraction from Business Documents
    Nguyen Hong Son
    Hieu M Yu
    Tuan-Anh D Nguyen
    Minh-Tien Nguyen
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [28] Analysis of Feature Extraction Methods of Multimedia Information Resources Based on Unstructured Database
    Juan, Deng
    Cong, Li
    Bing, Zhou
    2019 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA & SMART CITY (ICITBS), 2019, : 236 - 240
  • [29] CyNER: Information Extraction from Unstructured Text of CTI Sources with Noncontextual IOCs
    Fujii, Shota
    Kawaguchi, Nobutaka
    Shigemoto, Tomohiro
    Yamauchi, Toshihiro
    ADVANCES IN INFORMATION AND COMPUTER SECURITY, IWSEC 2022, 2022, 13504 : 85 - 104
  • [30] Information Retrieval based on Heuristic Key Words Extraction and Clusterings for Documents
    Shiono, Yasunori
    Yoshizumi, Toshihiro
    Tsuchida, Kensei
    3RD INTERNATIONAL CONFERENCE ON APPLIED COMPUTING AND INFORMATION TECHNOLOGY (ACIT 2015) 2ND INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND INTELLIGENCE (CSI 2015), 2015, : 125 - 126