A conceptual model for user-centered quality information retrieval on the World Wide Web

被引:9
作者
Yadav, Surya B. [1 ]
机构
[1] Texas Tech Univ, Dept Informat Syst & Quantitat Sci ISQS, Rawls Coll Business, Lubbock, TX 79409 USA
关键词
Conceptual architectural model; User-centered quality information; Information retrieval; Task-performer; Intelligent systems; ARCHITECTURE; SYSTEMS;
D O I
10.1007/s10844-009-0090-y
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Information retrieval from the Internet is becoming a commonplace phenomenon. Users and consumers are browsing websites and seeking various kinds of information for personal use. Retrieving quality information from the Internet can be challenging even for the computer-savvy. There are several search engines, even some personalized, to help users search for information on the Internet. In spite of all the claims about search engines, users still have difficult time retrieving relevant information quickly. This paper proposes a general conceptual model for user-centered quality information retrieval (UCQIR) from the Internet. The UCQIR conceptual model is presented in an architectural form. The UCQIR architectural model uses the concept of "Task-performer" to present various aspects of an information retrieval system at the knowledge level. Task-performer is an abstract construct used to conceptualize the idea of an entity that is competent in doing its tasks. The UCQIR architectural model can be used to easily design and develop domain-specific, user-centered quality information retrieval systems. The proposed UCQIR conceptual model is unique and comprehensive. The use of the conceptual model is illustrated through a design of a patient-centered quality medical information retrieval for the medical domain. We also present an experimental evaluation of a UCQIR prototype based upon real user experiences. The experimental results are very positive.
引用
收藏
页码:91 / 121
页数:31
相关论文
共 64 条
[11]  
BHARAT K, 2000, P 9 INT WWW C AMST
[12]  
BHARAT K, 1998, 21 ACM SIGIR C RES D
[13]   A FRAMEWORK FOR THE COMPARATIVE-ANALYSIS AND EVALUATION OF KNOWLEDGE REPRESENTATION SCHEMES [J].
BINGI, R ;
KHAZANCHI, D ;
YADAV, SB .
INFORMATION PROCESSING & MANAGEMENT, 1995, 31 (02) :233-247
[14]   EXPERT SYSTEMS AND INTELLIGENT INFORMATION-RETRIEVAL [J].
BROOKS, HM .
INFORMATION PROCESSING & MANAGEMENT, 1987, 23 (04) :367-382
[15]  
CALLAN JP, 1995, P 18 ANN INT ACM SIG, P21
[16]  
Chaffee J., 2000, Proceedings of the Ninth International Conference on Information and Knowledge Management. CIKM 2000, P227, DOI 10.1145/354756.354823
[17]  
CHAKRABARTI S, 1999, FOCUSED CRAWLING NEW
[18]  
Chowdhury G.G., 2004, Introduction to modern information retrieval
[19]   The development of an adaptive decision support system [J].
Chuang, TT ;
Yadav, SB .
DECISION SUPPORT SYSTEMS, 1998, 24 (02) :73-87
[20]  
DAI H, 2005, BOOK CHAPTER WEB MIN, pCH13