東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Digital Libraries with Superimposed ...

Murthy, Uma.

Linked to FindBook

Google Book

Amazon

博客來

Digital Libraries with Superimposed Information: Supporting Scholarly Tasks that Involve Fine Grain Information.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital Libraries with Superimposed Information: Supporting Scholarly Tasks that Involve Fine Grain Information./
Author:	Murthy, Uma.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2011,
Description:	187 p.
Notes:	Source: Dissertation Abstracts International, Volume: 73-10(E), Section: B.
Contained By:	Dissertation Abstracts International73-10B(E).
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=DP20026

Digital Libraries with Superimposed Information: Supporting Scholarly Tasks that Involve Fine Grain Information.
Murthy, Uma.

Digital Libraries with Superimposed Information: Supporting Scholarly Tasks that Involve Fine Grain Information. - Ann Arbor : ProQuest Dissertations & Theses, 2011 - 187 p.

Source: Dissertation Abstracts International, Volume: 73-10(E), Section: B.

Thesis (Ph.D.)--Virginia Polytechnic Institute and State University, 2011.

Many scholarly tasks involve working with contextualized fine-grain information, such as a music professor creating a multimedia lecture on a musical style, while bringing together several snippets of compositions of that style. We refer to such contextualized parts of a larger unit of information (or whole documents), as subdocuments. Current approaches to work with subdocuments involve a mix of paper-based and digital techniques. With the increase in the volume and in the heterogeneity of information sources, the management, organization, access, retrieval, as well as reuse of subdocuments becomes challenging, leading to inefficient and ineffective task execution. A digital library (DL) facilitates management, access, retrieval, and use of collections of data and metadata through services. However, most DLs do not provide infrastructure or services to support working with subdocuments. Superimposed information (SI) refers to new information that is created to reference subdocuments in existing information resources. We combine this idea of SI with traditional DL services, to define and develop a DL with SI (an SI-DL). Our research questions are centered around one main question: how can we extend the notion of a DL to include SI, in order to support scholarly tasks that involve working with subdocuments? We pursued this question from a theoretical as well as a practical/user perspective. From a theoretical perspective, we developed a formal metamodel that precisely defines the components of an SI-DL, building upon related work in DLs, SI, annotations, and hypertext. From the practical/user perspective, we developed prototype superimposed applications and conducted user studies to explore the use of SI in scholarly tasks. We developed SuperIDR, a prototype SI-DL, which enables users to mark up subimages, annotate them, and retrieve information in multiple ways, including browsing, and text- and content-based image retrieval. We explored the use of subimages and evaluated the use of SuperIDR in fish species identification, a scholarly task that involves working with subimages. Findings from the user studies and other work in our research lead to theory- and experiment-based enhancements that can guide design of digital libraries with superimposed information.Subjects--Topical Terms:

523869
Computer science.

Digital Libraries with Superimposed Information: Supporting Scholarly Tasks that Involve Fine Grain Information.
LDR:03319nmm a2200301 4500 001 2111766
005 20180529094437.5
008 180626s2011 ||||||||||||||||| ||eng d
035 $a (MiAaPQ)AAIDP20026
035 $a AAIDP20026
040 $a MiAaPQ $c MiAaPQ
100 1 $a Murthy, Uma. $3 3265918
245 1 0 $a Digital Libraries with Superimposed Information: Supporting Scholarly Tasks that Involve Fine Grain Information.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2011
300 $a 187 p.
500 $a Source: Dissertation Abstracts International, Volume: 73-10(E), Section: B.
500 $a Includes supplementary digital materials.
500 $a Adviser: Edward A. Fox.
502 $a Thesis (Ph.D.)--Virginia Polytechnic Institute and State University, 2011.
520 $a Many scholarly tasks involve working with contextualized fine-grain information, such as a music professor creating a multimedia lecture on a musical style, while bringing together several snippets of compositions of that style. We refer to such contextualized parts of a larger unit of information (or whole documents), as subdocuments. Current approaches to work with subdocuments involve a mix of paper-based and digital techniques. With the increase in the volume and in the heterogeneity of information sources, the management, organization, access, retrieval, as well as reuse of subdocuments becomes challenging, leading to inefficient and ineffective task execution. A digital library (DL) facilitates management, access, retrieval, and use of collections of data and metadata through services. However, most DLs do not provide infrastructure or services to support working with subdocuments. Superimposed information (SI) refers to new information that is created to reference subdocuments in existing information resources. We combine this idea of SI with traditional DL services, to define and develop a DL with SI (an SI-DL). Our research questions are centered around one main question: how can we extend the notion of a DL to include SI, in order to support scholarly tasks that involve working with subdocuments? We pursued this question from a theoretical as well as a practical/user perspective. From a theoretical perspective, we developed a formal metamodel that precisely defines the components of an SI-DL, building upon related work in DLs, SI, annotations, and hypertext. From the practical/user perspective, we developed prototype superimposed applications and conducted user studies to explore the use of SI in scholarly tasks. We developed SuperIDR, a prototype SI-DL, which enables users to mark up subimages, annotate them, and retrieve information in multiple ways, including browsing, and text- and content-based image retrieval. We explored the use of subimages and evaluated the use of SuperIDR in fish species identification, a scholarly task that involves working with subimages. Findings from the user studies and other work in our research lead to theory- and experiment-based enhancements that can guide design of digital libraries with superimposed information.
590 $a School code: 0247.
650 4 $a Computer science. $3 523869
650 4 $a Information science. $3 554358
650 4 $a Library science. $3 539284
690 $a 0984
690 $a 0723
690 $a 0399
710 2 0 $a Virginia Polytechnic Institute and State University. $3 1017496
773 0 $t Dissertation Abstracts International $g 73-10B(E).
790 $a 0247
791 $a Ph.D.
792 $a 2011
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=DP20026