SemOIR: An ontology-based semantic information retrieval system

被引：3
|
作者：
Tang, Mingwei [1 ]
Chen, Jiangping [2 ]
Chen, Haihua [2 ]
机构：
[1] Nanjing Audit Univ, Sch Informat Engn, Nanjing 211815, Jiangsu, Peoples R China
[2] Univ North Texas, Dept Informat Sci, Denton, TX 76207 USA
来源：
COMPANION OF THE 2020 IEEE 20TH INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY, AND SECURITY (QRS-C 2020) | 2020年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/QRS-C51114.2020.00042
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
This paper describes a semantic vector space model (SeVSM) and an information retrieval system based on the model. The SeVSM aims to improve information retrieval performance for domain-specific systems. In this model, we use an ontology to build the relations between any two keywords to solve the performance deficiency caused by the basic hypothesis of a vector space model (VSM) where keywords are mutually independent. Then we designed and developed a semantic ontology-based information retrieval (SemOIR) system based on the SeVSM model. An experimental study using 15 queries from different domains confirms the effectiveness of the SeVSM and the usability of the SemOIR system. The proposed model and the system contribute significantly to the application of semantic retrieval for digital libraries and e-commerce systems.
引用
收藏
页码：204 / 208
页数：5
相关论文
共 50 条
  • [1] Ontology-based Semantic Retrieval for Management Information System
    Shen Jinxing
    [J]. ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING, PTS 1-3, 2013, 278-280 : 2069 - 2072
  • [2] Ontology-based Semantic Retrieval System
    Zhang, Xiaohuan
    Li, Wenjie
    [J]. 2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 10944 - +
  • [3] An ontology-based information retrieval system
    Varga, P
    Mészáros, T
    Dezsényi, C
    Dobrowiecki, TP
    [J]. DEVELOPMENTS IN APPLIED ARTIFICIAL INTELLIGENCE, 2003, 2718 : 359 - 368
  • [4] Ontology-based information retrieval model for the semantic web
    Song, JF
    Zhang, WM
    Xiao, WD
    Li, GH
    Xu, ZN
    [J]. 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, Proceedings, 2005, : 152 - 155
  • [5] 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
  • [6] Research on Model of Ontology-Based Semantic Information Retrieval
    Cheng, Yu
    Xiong, Ying
    [J]. ADVANCES IN COMPUTER SCIENCE AND EDUCATION, 2012, 140 : 429 - 434
  • [7] An Ontology-Based Retrieval System Using Semantic Indexing
    Kara, Soner
    Alan, Ozgur
    Sabuncu, Orkunt
    Akpinar, Samet
    Cicekli, Nihan K.
    Alpaslan, Ferda N.
    [J]. 2010 IEEE 26TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING WORKSHOPS (ICDE 2010), 2010, : 197 - 202
  • [8] Ontology-Based Crime News Semantic Retrieval System
    Majeed, Fiaz
    Ahmad, Afzaal
    Hassan, Muhammad Awais
    Shafiq, Muhammad
    Choi, Jin-Ghoo
    Hamam, Habib
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 77 (01): : 601 - 614
  • [9] An ontology-based retrieval system using semantic indexing
    Kara, Soner
    Alan, Ozgur
    Sabuncu, Orkunt
    Akpinar, Samet
    Cicekli, Nihan K.
    Alpaslan, Ferda N.
    [J]. INFORMATION SYSTEMS, 2012, 37 (04) : 294 - 305
  • [10] Visual Ontology-based Information Retrieval System
    Zhuhadar, Leyla
    Nasraoui, Olfa
    Wyatt, Robert
    [J]. INFORMATION VISUALIZATION, IV 2009, PROCEEDINGS, 2009, : 419 - 426
12345