The fun begins with retrieval: Explanation and CBR

被引:0
|
作者
Rissland, Edwina L. [1 ]
机构
[1] Univ Massachusetts, Dept Comp Sci, Amherst, MA 01003 USA
关键词
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
This paper discusses the importance of the post-retrieval steps of CBR, that is, the steps that occur after relevant cases have been retrieved. Explanations and arguments, for instance, require much to be done post-retrieval. I also discuss both the importance of explanation to CBR and the use of CBR to generate explanations.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 50 条
  • [21] Acquiring knowledge and numerical data to support CBR retrieval
    Bandini, S
    Manzoni, S
    Sartori, F
    KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, PROCEEDINGS: ONTOLOGIES AND THE SEMANTIC WEB, 2002, 2473 : 8 - 13
  • [22] Retrieval in CBR Using a Combination of Similarity and Association Knowledge
    Kang, Yong-Bin
    Krishnaswamy, Shonali
    Zaslavsky, Arkady
    ADVANCED DATA MINING AND APPLICATIONS, PT I, 2011, 7120 : 1 - 14
  • [23] An intelligent component retrieval system using conversational CBR
    Gu, MY
    Tong, X
    PROCEEDINGS OF THE 28TH ANNUAL INTERNATIONAL COMPUTER SOFTWARE AND APPLICATION CONFERENCE, WORKSHOP AND FAST ABSTRACTS, 2004, : 47 - 48
  • [24] A new approach for the incremental development of retrieval functions for CBR
    Hoffmann, Achim
    Khan, Abdus Salam
    APPLIED ARTIFICIAL INTELLIGENCE, 2006, 20 (06) : 507 - 542
  • [25] "The Fun Begins Now!": Broadening and Building Processes in Red Hat Society® Participation
    Mitas, Ondrej
    Qian, Xinyi Lisa
    Yarnal, Careen
    Kerstetter, Deborah
    JOURNAL OF LEISURE RESEARCH, 2011, 43 (01) : 30 - 55
  • [26] Evidence-Driven Retrieval in Textual CBR: Bridging the Gap Between Retrieval and Reuse
    Sizov, Gleb
    Ozturk, Pinar
    Aamodt, Agnar
    CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2015, 2015, 9343 : 351 - 365
  • [27] Incremental Iterative Retrieval and Browsing for Efficient Conversational CBR Systems
    Igor Jurisica
    Janice Glasgow
    John Mylopoulos
    Applied Intelligence, 2000, 12 : 251 - 268
  • [28] An Ontological Metro Accident Case Retrieval Using CBR and NLP
    Wu, Haitao
    Zhong, Botao
    Medjdoub, Benachir
    Xing, Xuejiao
    Jiao, Li
    APPLIED SCIENCES-BASEL, 2020, 10 (15):
  • [29] CBR: Fuzzified case retrieval approach for facial expression recognition
    Khanum, Assia
    Shafiq, M. Zubair
    Muhammad, Ejaz
    PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS, 2007, : 162 - +
  • [30] Incremental iterative retrieval and browsing for efficient conversational CBR systems
    Jurisica, I
    Glasgow, J
    Mylopoulos, J
    APPLIED INTELLIGENCE, 2000, 12 (03) : 251 - 268