語系:
繁體中文
English
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
A framework for the organization and...
~
Buranarach, Marut.
FindBook
Google Book
Amazon
博客來
A framework for the organization and discovery of information resources in a WWW environment using association, classification and deduction.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A framework for the organization and discovery of information resources in a WWW environment using association, classification and deduction./
作者:
Buranarach, Marut.
面頁冊數:
234 p.
附註:
Source: Dissertation Abstracts International, Volume: 65-12, Section: A, page: 4381.
Contained By:
Dissertation Abstracts International65-12A.
標題:
Information Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3158613
ISBN:
0496916157
A framework for the organization and discovery of information resources in a WWW environment using association, classification and deduction.
Buranarach, Marut.
A framework for the organization and discovery of information resources in a WWW environment using association, classification and deduction.
- 234 p.
Source: Dissertation Abstracts International, Volume: 65-12, Section: A, page: 4381.
Thesis (Ph.D.)--University of Pittsburgh, 2004.
The Semantic Web is envisioned as a next-generation WWW environment in which information is given well-defined meaning. Although the standards for the Semantic Web are being established, it is as yet unclear how the Semantic Web will allow information resources to be effectively organized and discovered in an automated fashion. This dissertation research explores the organization and discovery of resources for the Semantic Web. It assumes that resources on the Semantic Web will be retrieved based on metadata and ontologies that will provide an effective basis for automated deduction. An integrated deduction system based on the Resource Description Framework (RDF), the DARPA Agent Markup Language (DAML) and description logic (DL) was built. A case study was conducted to study the system effectiveness in retrieving resources in a large Web resource collection. The results showed that deduction has an overall positive impact on the retrieval of the collection over the defined queries. The greatest positive impact occurred when precision was perfect with no decrease in recall. The sensitivity analysis was conducted over properties of resources, subject categories, query expressions and relevance judgment in observing their relationships with the retrieval performance. The results highlight both the potentials and various issues in applying deduction over metadata and ontologies. Further investigation will be required for additional improvement. The factors that can contribute to degraded performance were identified and addressed. Some guidelines were developed based on the lessons learned from the case study for the development of Semantic Web data and systems.
ISBN: 0496916157Subjects--Topical Terms:
1017528
Information Science.
A framework for the organization and discovery of information resources in a WWW environment using association, classification and deduction.
LDR
:02663nmm 2200289 4500
001
1844865
005
20051017075523.5
008
130614s2004 eng d
020
$a
0496916157
035
$a
(UnM)AAI3158613
035
$a
AAI3158613
040
$a
UnM
$c
UnM
100
1
$a
Buranarach, Marut.
$3
1933048
245
1 2
$a
A framework for the organization and discovery of information resources in a WWW environment using association, classification and deduction.
300
$a
234 p.
500
$a
Source: Dissertation Abstracts International, Volume: 65-12, Section: A, page: 4381.
500
$a
Adviser: Michael B. Spring.
502
$a
Thesis (Ph.D.)--University of Pittsburgh, 2004.
520
$a
The Semantic Web is envisioned as a next-generation WWW environment in which information is given well-defined meaning. Although the standards for the Semantic Web are being established, it is as yet unclear how the Semantic Web will allow information resources to be effectively organized and discovered in an automated fashion. This dissertation research explores the organization and discovery of resources for the Semantic Web. It assumes that resources on the Semantic Web will be retrieved based on metadata and ontologies that will provide an effective basis for automated deduction. An integrated deduction system based on the Resource Description Framework (RDF), the DARPA Agent Markup Language (DAML) and description logic (DL) was built. A case study was conducted to study the system effectiveness in retrieving resources in a large Web resource collection. The results showed that deduction has an overall positive impact on the retrieval of the collection over the defined queries. The greatest positive impact occurred when precision was perfect with no decrease in recall. The sensitivity analysis was conducted over properties of resources, subject categories, query expressions and relevance judgment in observing their relationships with the retrieval performance. The results highlight both the potentials and various issues in applying deduction over metadata and ontologies. Further investigation will be required for additional improvement. The factors that can contribute to degraded performance were identified and addressed. Some guidelines were developed based on the lessons learned from the case study for the development of Semantic Web data and systems.
590
$a
School code: 0178.
650
4
$a
Information Science.
$3
1017528
650
4
$a
Library Science.
$3
881164
650
4
$a
Computer Science.
$3
626642
690
$a
0723
690
$a
0399
690
$a
0984
710
2 0
$a
University of Pittsburgh.
$3
958527
773
0
$t
Dissertation Abstracts International
$g
65-12A.
790
1 0
$a
Spring, Michael B.,
$e
advisor
790
$a
0178
791
$a
Ph.D.
792
$a
2004
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3158613
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9194379
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入