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Record identifier : 566378
Personal Name - Primary Intelectual Responsibility : Kholief, Mohamed Hamed
Title and statement of responsibility : Event-based retrieval from digital libraries containing data streams [Thesis]
Publication, Distribution,Etc. : Old Dominion University, 2003
Language of the Item : eng
Dissertation of thesis details and type of degree : Ph.D
Body granting the degree : , Old Dominion University
Summary or Abstract : The objective of this research is to study the issues involved in building a digital library that contains data streams and allows event-based retrieval. "Digital Libraries are storehouses of information available through the Internet that provide ways to collect, store, and organize data and make it accessible for search, retrieval, and processing" [29]. Data streams are sources of information for applications such as news-on-demand, weather services, and scientific research, to name a few. A data stream is a sequence of data units produced over a period of time. Examples of data streams are video streams, audio stream, and sensor readings. Saving data streams in digital libraries is advantageous because of the services provided by digital libraries such as archiving, preservation, administration, and access control. Events are noteworthy occurrences that happen during data streams. Events are easier to remember than specific time instances at which they occur; hence using them for retrieval is more commensurate with human behavior and can be more efficient via direct accessing instead of scanning. The focus of this research is not only on storing data streams in a digital library and using event-based retrieval, but also on relating streams and playing them back at the same time, possibly in a synchronized manner, to facilitate better understanding in research or other working situations..
Topical Name Used as Subject : digital libraries
Information of biblio record : TL
 
 
 
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