Scalable Internet Resource Discovery: Research Problems and Approaches

Scalable Internet Resource Discovery: Research Problems and Approaches (1994)

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by C. Mic Bowman , Peter B. Danzig , Udi Manber , Michael F. Schwartz

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Datum	Value	Source
TITLE	Abstract	SVM HeaderParse 0.1
AUTHOR NAME	C. Mic Bowman	SVM HeaderParse 0.1
AUTHOR AFFIL	Transarc Corp.; The Gulf Tower	SVM HeaderParse 0.2
AUTHOR ADDR	707 Grant Street; Pittsburgh, PA 15219	SVM HeaderParse 0.1
AUTHOR NAME	Peter B. Danzig	SVM HeaderParse 0.1
AUTHOR AFFIL	Computer Science Department; University of Southern California	SVM HeaderParse 0.2
AUTHOR ADDR	941 W. 37th Place; Los Angeles, California 90089-0781	SVM HeaderParse 0.1
AUTHOR NAME	Michael F. Schwartz	SVM HeaderParse 0.1
AUTHOR AFFIL	Computer Science Department; University of Colorado	SVM HeaderParse 0.2
AUTHOR ADDR	Boulder, Colorado 80309-0430	SVM HeaderParse 0.1
AUTHOR NAME	Udi Manber	SVM HeaderParse 0.1
AUTHOR AFFIL	Computer Science Department; University of Arizona	SVM HeaderParse 0.2
AUTHOR ADDR	Tucson, Arizona 85721	SVM HeaderParse 0.1
ABSTRACT	Over the past several years, a number of information discovery and access tools have been introduced in the Internet, including Archie, Gopher, Net nd, and WAIS. These tools have become quite popular, and are helping to rede ne how people think about wide-area network applications. Yet, they are not well suited to supporting the future information infrastructure, which will be characterized by enormous data volume, rapid growth in the user base, and burgeoning data diversity. In this paper we indicate trends in these three dimensions and survey problems these trends will create for current approaches. We then suggest several promising directions of future resource discovery research, along with some initial results from projects	SVM HeaderParse 0.1
CITATIONS	53 found	ParsCit 1.0