In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) has been redirecting to new domain since Jan. 1st, 2025.
See More
App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 2

Online roadmap extraction model in text streams

Liu Junling1,2
Yang Mengdi1,2
Sun Huanliang1,2
Xu Jingke1,2,3
1. School of Computer Science and Engineering, Shenyang Jianzhu University, Shenyang 110168, China
2. Liaoning Province Big Data Management and Analysis Laboratory of Urban Construction, Shenyang 110168, China
3. Shenyang Branch of National Special Computer Engineering Technology Research Center, Shenyang 110168, China
DOI: 10.19734/j.issn.1001-3695.2025.06.0211

Abstract

This paper transformed user spatial transfer information contained in text streams into route maps to provide users with intuitive route and experience visualization. First, it proposed a large model-based spatiotemporal event extraction model. The model constructs a route knowledge framework and extraction templates. It uses a fine-tuning dataset for model adaptation. Then, the paper proposed a large model-based text segmentation model. This model employs text partitioning templates and a fine-tuning dataset for adaptation. Next, the paper proposed an online path generation method. This method designed inference techniques for entity attributes and relationships. It adopted a weighted scoring strategy to generate optimal paths. Finally, experiments used real-world datasets. Results showed that the proposed models achieved better performance than other large models in text segmentation and event extraction tasks. The proposed algorithm increased entity reasoning accuracy by 16% compared to multi-feature entity matching methods. These findings validate the effectiveness of the proposed models and algorithm.

Foundation Support

国家自然科学基金资助项目(62073227)
国家重点研发计划课题(2021YFF0306303)
辽宁省教育厅资助项目(LJ212510153014)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.06.0211
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 2

Publish History

[2025-10-27] Accepted Paper

Cite This Article

刘俊岭, 杨梦迪, 孙焕良, 等. 文本流中路线图在线抽取模型 [J]. 计算机应用研究, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0211. (Liu Junling, Yang Mengdi, Sun Huanliang, et al. Online roadmap extraction model in text streams [J]. Application Research of Computers, 2026, 43 (2). (2025-11-04). https://doi.org/10.19734/j.issn.1001-3695.2025.06.0211. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)