東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

User performance using an ontology-d...

Yi, Myongho.

FindBook

Google Book

Amazon

博客來

User performance using an ontology-driven information retrieval (ONTOIR) system.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	User performance using an ontology-driven information retrieval (ONTOIR) system./
作者:	Yi, Myongho.
面頁冊數:	176 p.
附註:	Source: Dissertation Abstracts International, Volume: 67-04, Section: A, page: 1134.
Contained By:	Dissertation Abstracts International67-04A.
標題:	Library Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3216563
ISBN:	9780542661013

User performance using an ontology-driven information retrieval (ONTOIR) system.
Yi, Myongho.

User performance using an ontology-driven information retrieval (ONTOIR) system. - 176 p.

Source: Dissertation Abstracts International, Volume: 67-04, Section: A, page: 1134.

Thesis (Ph.D.)--The Florida State University, 2006.

Enhancing the representation and relationship of information through ontology is a promising alternative approach for knowledge organization, and this improved knowledge organization is vital for collocation of information and effective and efficient searching. This study concerns the development of an ontology-driven information retrieval (ONTOIR) system that shows explicit relationships among resources and explores the possibilities of improving user performance in searching for information. The goal of this study was to examine whether or not ontology enhances user performances in terms of recall and search time. The experiment was conducted with 40 participants to evaluate and compare the differences in user performance (recall and search time) between an ontology-driven information retrieval system and a traditional, thesaurus-driven information retrieval system.

ISBN: 9780542661013Subjects--Topical Terms:

881164
Library Science.

User performance using an ontology-driven information retrieval (ONTOIR) system.
LDR:02046nmm 2200289 4500 001 1825590
005 20061211075144.5
008 130610s2006 eng d
020 $a 9780542661013
035 $a (UnM)AAI3216563
035 $a AAI3216563
040 $a UnM $c UnM
100 1 $a Yi, Myongho. $3 1914589
245 1 0 $a User performance using an ontology-driven information retrieval (ONTOIR) system.
300 $a 176 p.
500 $a Source: Dissertation Abstracts International, Volume: 67-04, Section: A, page: 1134.
500 $a Adviser: Kathleen Burnett.
502 $a Thesis (Ph.D.)--The Florida State University, 2006.
520 $a Enhancing the representation and relationship of information through ontology is a promising alternative approach for knowledge organization, and this improved knowledge organization is vital for collocation of information and effective and efficient searching. This study concerns the development of an ontology-driven information retrieval (ONTOIR) system that shows explicit relationships among resources and explores the possibilities of improving user performance in searching for information. The goal of this study was to examine whether or not ontology enhances user performances in terms of recall and search time. The experiment was conducted with 40 participants to evaluate and compare the differences in user performance (recall and search time) between an ontology-driven information retrieval system and a traditional, thesaurus-driven information retrieval system.
520 $a Better recall and shorter search time was found in the ontology-driven information retrieval system and relationship-based queries. Further studies between cluster-based search engines and an ontology-driven information retrieval system are needed.
590 $a School code: 0071.
650 4 $a Library Science. $3 881164
650 4 $a Computer Science. $3 626642
690 $a 0399
690 $a 0984
710 2 0 $a The Florida State University. $3 1017727
773 0 $t Dissertation Abstracts International $g 67-04A.
790 1 0 $a Burnett, Kathleen, $e advisor
790 $a 0071
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3216563