Research on Semantic Information Retrieval Model of Bamboo Rattan Domain Based on Semantic Relevance

被引:0
|
作者
Peng, Lin [1 ]
Kou, Xu-peng [1 ]
Yang, Lin-nan [1 ]
机构
[1] Yunnan Agr Univ, Coll Big Data, Kunming 650201, Yunnan, Peoples R China
关键词
D O I
10.1088/1742-6596/1187/5/052094
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
At present, the research of semantic information retrieval technology is mostly in the initial stage, and the research is mostly in exploratory theoretical research. Among them, the construction of domain semantic information retrieval model is still immature In this paper, bamboo rattan field was selected as the research object, and the key problems in semantic information retrieval technology of bamboo rattan domain were analyzed. Based on the domain ontology of bamboo and rattan, the weight calculation method of bamboo rattan domain terms is defined. This paper introduces semantic relevance degree extension into the domain semantic information retrieval model of bamboo rattan, constructs a domain semantic information retrieval model suitable for bamboo rattan, and realizes the association retrieval and semantic query extension of text information in bamboo rattan domain.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Research on Semantic Information Retrieval Model of Bamboo & Rattan Domain Based on Query Extension
    Peng, Lin
    Lai, Ming-ming
    Zhang, Xin
    [J]. 2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS AND CONTROL ENGINEERING (ISPECE 2018), 2019, 1187
  • [2] Semantic indexing and fuzzy relevance model in information retrieval
    Kang, BY
    Kim, DW
    Lee, SJ
    [J]. Computational Intelligence for Modelling and Prediction, 2005, 2 : 49 - 60
  • [3] Research on Model of Ontology-Based Semantic Information Retrieval
    Cheng, Yu
    Xiong, Ying
    [J]. ADVANCES IN MULTIMEDIA, SOFTWARE ENGINEERING AND COMPUTING, VOL 1, 2011, 128 : 271 - 276
  • [4] Research on Model of Ontology-Based Semantic Information Retrieval
    Cheng, Yu
    Xiong, Ying
    [J]. ADVANCES IN COMPUTER SCIENCE AND EDUCATION, 2012, 140 : 429 - 434
  • [5] Relevance feedback in semantic-based information retrieval
    Cai, Jun
    [J]. Nanjing Youdian Xueyuan Xuebao/Journal of Nanjing Institute of Posts and Telecommunications, 2003, 23 (02):
  • [6] Research on Semantic Information Retrieval Based on Ontology
    Dan, Zeng
    [J]. PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, VOLS I AND II, 2010, : 1582 - 1586
  • [7] The Model of Keyword Information Retrieval Based on Semantic
    Dong, Wanxin
    Li, Xin
    Zhou, Sheng
    [J]. 2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3, 2010, : 662 - +
  • [8] User Relevance Feedback in Semantic Information Retrieval
    Picariello, Antonio
    Rinaldi, Antonio M.
    [J]. INTERNATIONAL JOURNAL OF INTELLIGENT INFORMATION TECHNOLOGIES, 2007, 3 (02) : 36 - 50
  • [9] A novel semantic information retrieval system based on a three-level domain model
    Sbattella, Licia
    Tedesco, Roberto
    [J]. JOURNAL OF SYSTEMS AND SOFTWARE, 2013, 86 (05) : 1426 - 1452
  • [10] Semantic web search model for information retrieval of the semantic data
    Choi, O
    Yoon, S
    Oh, M
    Han, S
    [J]. WEB AND COMMUNICATION TECHNOLOGIES AND INTERNET-RELATED SOCIAL ISSUES - HSI 2003, 2003, 2713 : 588 - 593