Hyponymy Extraction and Web Search Behavior Analysis Based on Query Reformulation

被引：0
|
作者：
Costa, Rui P. [1 ]
Seco, Nuno [1 ]
机构：
[1] Univ Coimbra, CISUC, Cognit & Media Syst Grp, P-3000 Coimbra, Portugal
来源：
ADVANCES IN ARTIFICIAL INTELLIGENCE - IBERAMIA 2008, PROCEEDINGS | 2008年 / 5290卷
关键词：
Semantic Web Usage Mining; Query Reformulation; Hyponymy Extraction; Web User Search Behavior;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A web search engine log is a very rich source of semantic knowledge. In this paper we focus on the extraction of hyponymy relations from individual user sessions by examining, search behavior. The results obtained allow us to identify specific reformulation models as ones that more frequently represent hyponymy relations. The extracted relations reflect the knowledge that the user is employing while searching the web. Simultaneously, this study leads to a better understanding of web user search behavior.
引用
收藏
页码：332 / 341
页数：10
相关论文
共 50 条
  • [1] Towards a Better Understanding of Query Reformulation Behavior in Web Search
    Chen, Jia
    Mao, Jiaxin
    Liu, Yiqun
    Zhang, Fan
    Zhang, Min
    Ma, Shaoping
    PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE 2021 (WWW 2021), 2021, : 743 - 755
  • [2] Influences on Query Reformulation in Collaborative Web Search
    Yue, Zhen
    Han, Shuguang
    He, Daqing
    Jiang, Jiepu
    COMPUTER, 2014, 47 (03) : 46 - 53
  • [3] Investigating Query Reformulation Behavior of Search Users
    Chen, Jia
    Mao, Jiaxin
    Liu, Yiqun
    Zhang, Min
    Ma, Shaoping
    INFORMATION RETRIEVAL (CCIR 2019), 2019, 11772 : 39 - 51
  • [4] Interactive System Based on Web Search Results Clustering for Arabic Query Reformulation
    Sahmoudi, Issam
    Lachkar, Abdelmonaime
    2014 THIRD IEEE INTERNATIONAL COLLOQUIUM IN INFORMATION SCIENCE AND TECHNOLOGY (CIST'14), 2014, : 300 - 305
  • [5] Query Reformulation Using Ontology and Keyword for Durian Web Search
    Azizan, Azilawati
    Abu Bakar, Zainab
    Noah, Shahrul Azman
    2016 THIRD INTERNATIONAL CONFERENCE ON INFORMATION RETRIEVAL AND KNOWLEDGE MANAGEMENT (CAMP), 2016, : 94 - 100
  • [6] Efficient Algorithm for Web Search Query Reformulation Using Genetic Algorithm
    Singh, Vikram
    Garg, Siddhant
    Kaur, Pradeep
    COMPUTATIONAL INTELLIGENCE IN DATA MINING, VOL 1, CIDM 2015, 2016, 410 : 459 - 470
  • [7] Using query reformulation to compare learning behaviors in Web search engines
    Tibau, Marcelo
    Siqueira, Sean W. M.
    Nunes, Bernardo Pereira
    Nurmikko-Fuller, Terhi
    Manrique, Ruben Francisco
    2019 IEEE 19TH INTERNATIONAL CONFERENCE ON ADVANCED LEARNING TECHNOLOGIES (ICALT 2019), 2019, : 219 - 223
  • [8] A CONTEXT-BASED MODEL FOR WEB QUERY REFORMULATION
    Asfari, Ounas
    Doan, Bich-Lien
    Bourda, Yolaine
    Sansonnet, Jean-Paul
    KDIR 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND INFORMATION RETRIEVAL, 2010, : 288 - 293
  • [9] A Novel Approach to Personalize Web Search through User Profiling and Query Reformulation
    Makvana, Kamlesh
    Shah, Pinal
    Shah, Parth
    2014 INTERNATIONAL CONFERENCE ON DATA MINING AND INTELLIGENT COMPUTING (ICDMIC), 2014,
  • [10] Query Cluster: A Method for Web Search Behavior
    Kim, Jinyoung
    Kim, Moonsung
    Lee, Joongseek
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER-HUMAN INTERACTIONS (ACHI 2011), 2011, : 35 - 42
12345