國立虎尾科技大學 |

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

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Digital Libraries with Superimposed Information :/
其他題名:	Supporting Scholarly Tasks that Involve Fine Grain Information.
作者:	Murthy, Uma.
面頁冊數:	1 online resource (187 pages)
附註:	Source: Dissertation Abstracts International, Volume: 73-10(E), Section: B.
Contained By:	Dissertation Abstracts International73-10B(E).
標題:	Computer science. -
電子資源:	click for full text (PQDT)

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. - 1 online resource (187 pages)

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

Thesis (Ph.D.)

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

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