Ontology-based question expansion for question similarity calculation

被引：1
|
作者：
刘里 [1 ]
樊孝忠 [1 ]
齐全 [1 ]
刘小明 [1 ]
机构：
[1] Natural Language Processing Laboratory School of Computer Science and Technology Beijing Institute of Technology
来源：
Journal of Beijing Institute of Technology | 2011年 / 20卷 / 02期
关键词：
ontology; conception extraction; question expansion; question trunk; question similarity calculation;
D O I：
10.15918/j.jbit1004-0579.2011.02.013
中图分类号：
TP391.1 [文字信息处理];
学科分类号：
081203 ; 0835 ;
摘要：
A new ontology-based question expansion (OBQE) method is proposed for question similarity calculation in a frequently asked question (FAQ) answering system. Traditional question similarity calculation methods use "word"to compose question vector, that the semantic relations between words are ignored. OBQE takes the relation as an important part. The process of the new system is:① to build two-layered domain ontology referring to WordNet and domain corpse;② to expand question trunks into domain cases;③ to use domain case composed vector to calculate question similarity. The experimental result shows that the performance of question similarity calculation with OBQE is being improved.
引用
收藏
页码：244 / 248
页数：5
相关论文
共 50 条
  • [1] From Ontology to Semantic Similarity: Calculation of Ontology-Based Semantic Similarity
    Gan, Mingxin
    Dou, Xue
    Jiang, Rui
    [J]. SCIENTIFIC WORLD JOURNAL, 2013,
  • [2] Bilingual Ontology-Based Automatic Question Generation
    Diatta, Baboucar
    Basse, Adrien
    Ouya, Samuel
    [J]. PROCEEDINGS OF 2019 IEEE GLOBAL ENGINEERING EDUCATION CONFERENCE (EDUCON), 2019, : 679 - 684
  • [3] AQUA - Ontology-based question answering system
    Vargas-Vera, M
    Motta, E
    [J]. MICAI 2004: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2004, 2972 : 468 - 477
  • [4] Ontology-Based Multiple Choice Question Generation
    Alsubait, Tahani
    Parsia, Bijan
    Sattler, Ulrike
    [J]. KUNSTLICHE INTELLIGENZ, 2016, 30 (02): : 183 - 188
  • [5] Ontology-Based Multiple Choice Question Generation
    Al-Yahya, Maha
    [J]. SCIENTIFIC WORLD JOURNAL, 2014,
  • [6] An ontology-based agricultural question classification method
    Ma, Jianbin
    Wang, Fang
    [J]. ICIC Express Letters, Part B: Applications, 2015, 6 (12): : 3355 - 3360
  • [7] Ontology-based question answering for digital libraries
    Bloehdorn, Stephan
    Cimiano, Philipp
    Duke, Alistair
    Haase, Peter
    Heizmann, Joerg
    Thurlow, Ian
    Voelker, Johanna
    [J]. RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES, PROCEEDINGS, 2007, 4675 : 14 - +
  • [8] Research of ontology-based intelligent question answer system
    Zhang, Aijun
    Wang, Xun
    Wu, Ruqi
    [J]. Journal of Computational Information Systems, 2006, 2 (01): : 271 - 276
  • [9] Towards Interactive Question Answering: An Ontology-Based Approach
    Magnini, Bernardo
    Speranza, Manuela
    Kumar, Vikash
    [J]. 2009 IEEE THIRD INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2009), 2009, : 612 - 617
  • [10] Towards Ontology-Based Question Answering in Vague Domains
    Alexopoulos, Panos
    Walker, Andrew
    Gomez Perez, Jose Manuel
    Wallace, Manolis
    [J]. 2014 9TH INTERNATIONAL WORKSHOP ON SEMANTIC AND SOCIAL MEDIA ADAPTATION AND PERSONALIZATION (SMAP), 2014, : 26 - 31
12345