A medical digital library to support scenario and user-tailored information retrieval

被引：11
作者：
Chu, WW [1 ]
Johnson, DB
Kangarloo, H
机构：
[1] Univ Calif Los Angeles, Dept Comp Sci, Los Angeles, CA 90095 USA
[2] Univ Calif Los Angeles, Dept Radiol, Los Angeles, CA 90095 USA
来源：
IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE | 2000年 / 4卷 / 02期
关键词：
approximate content matching; content-based proxies; content-based retrieval; content correlation and linking; digital library; information technology; information retrieval; medical information systems;
D O I：
10.1109/4233.845202
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Current large-scale information sources are designed to support general queries and lack the ability to support scenario-specific information navigation, gathering, and presentation. As a result, users are often unable to obtain desired specific information within a well-defined subject area. Today's information systems do not provide efficient content navigation, incremental appropriate matching, or content correlation. We are developing the following innovative technologies to remedy these problems: 1) scenario-based proxies, enabling the gathering and filtering of information customized for users within a pre-defined domain; 2) context-sensitive navigation and matching, providing approximate matching and similarity links when an exact match to a user's request is unavailable; 3) content correlation of documents, creating semantic Links between documents and information sources; and 4) user models for customizing-retrieved information and result presentation. A digital medical library is currently being constructed using these technologies to provide customized information for the user. The technologies are general in nature and can provide custom and scenario-specific information in many other domains (e.g., crisis management).
引用
收藏
页码：97 / 107
页数：11
相关论文
共 46 条
  • [11] Knowledge-based image retrieval with spatial and temporal constructs
    Chu, WW
    Hsu, CC
    Cárdenas, AF
    Taira, RK
    [J]. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 1998, 10 (06) : 872 - 888
  • [12] KMED - A KNOWLEDGE-BASED MULTIMEDIA MEDICAL DISTRIBUTED DATABASE SYSTEM
    CHU, WW
    CARDENAS, AF
    TAIRA, RK
    [J]. INFORMATION SYSTEMS, 1995, 20 (02) : 75 - 96
  • [13] CHU WW, 1994, P AAAI WORKSH KNOWL
  • [14] CHU WW, 1996, COMMUN ACM, V12, P216
  • [15] CLIFTON C, 1998, P 22 ANN INT COMP SO
  • [16] Cover T. M., 2005, ELEM INF THEORY, DOI 10.1002/047174882X
  • [17] HOW TO RECOGNIZE INTERESTING TOPICS TO PROVIDE COOPERATIVE ANSWERING
    CUPPENS, F
    DEMOLOMBE, R
    [J]. INFORMATION SYSTEMS, 1989, 14 (02) : 163 - 173
  • [18] CUTTING DR, 1992, P 15 ANN INT SIGIR C
  • [19] Fisher D. H., 1987, Machine Learning, V2, P139, DOI 10.1007/BF00114265
  • [20] MODELS OF INCREMENTAL CONCEPT-FORMATION
    GENNARI, JH
    LANGLEY, P
    FISHER, D
    [J]. ARTIFICIAL INTELLIGENCE, 1989, 40 (1-3) : 11 - 61
12345