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Mark E. Frisse

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Publication statistics

Pub. period:1987-1992
Pub. count:5
Number of co-authors:3

Co-authors

Number of publications with 3 favourite co-authors:

Steve Cousins:2
Steve B. Cousins:1
Scott Hassan:1

Productive colleagues

Mark E. Frisse's 3 most productive colleagues in number of publications:

Steve B. Cousins:5
Steve Cousins:4
Scott Hassan:1

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May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 29

Intl. Workshop on Design and Spontaneity in Computer-Supported Collaborative Learning (DS-CSCL 2013)

May 22

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Mark E. Frisse

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Publications by Mark E. Frisse (bibliography)

1992

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Frisse, Mark E. and Cousins, Steve B. (1992): Models for Hypertext. In JASIST - Journal of the American Society for Information Science and Technology, 43 (2) pp. 183-191.

1991

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Frisse, Mark E., Cousins, Steve and Hassan, Scott (1991): WALT: A Research Environment for Medical Hypertext. In: Walker, Jan (ed.) Proceedings of ACM Hypertext 91 Conference December 15-18, 1991, San Antonio, Texas. pp. 389-394.

“WALT (Washington University's Approach to Lots of Text), is a prototype interface designed to support hypertext and information retrieval research. The WALT hypertext interface can serve as a "front end" to a wide array of retrieval engines including those based on Boolean retrieval, latent semantic indexing, term frequency - inverse document frequency, and Bayesian inference techniques. The WALT interface is composed of seven distinct components: a document examination component known as the Document Browsing Area; four navigation components called the Book Shelf, the Book Spine, the Table of Contents, and the Path Clipboard; a term-based information retrieval component called Control Panel; and a relevance feedback component known as the Reader Feedback Panel. All browsing and navigation components incorporate "active text" and explicit hypertext links. WALT's most unique feature may be it's use of "book shelf" and "book spine" metaphors both to facilitate navigation and to provide a histogram-based display showing documents deemed appropriate for answering user queries.”

1989

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Frisse, Mark E. and Cousins, Steve (1989): Information Retrieval from Hypertext: Update on the Dynamic Medical Handbook Project. In: Halasz, Frank and Meyrowitz, Norman (eds.) Proceedings of ACM Hypertext 89 Conference November 5-8, 1989, Pittsburgh, Pennsylvania. pp. 199-212.

“This paper attempts to provide a perspective from which to develop a more complete theory of information retrieval from hypertext documents. Viewing hypertexts as large information spaces, we compare two general classes of navigation methods, classes we call local and global. We argue that global methods necessitate some form of "index space" conceptually separate from the hypertext "document space". We note that the architectures of both spaces effect the ease with which one can apply various information retrieval algorithms. We identify a number of different index space and document space architectures and we discuss some of the associated trade-offs between hypertext functionality and computational complexity. We show how some index space architectures can be exploited for enhanced information retrieval, query refinement, and automated reasoning. Through analysis of a number of prototype systems, we discuss current limitations and future potentials for various hypertext information retrieval structures.”

1988

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Frisse, Mark E. (1988): Searching for Information in a Hypertext Medical Handbook. In Communications of the ACM, 31 (7) pp. 880-886.

1987

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Frisse, Mark E. (1987): Searching for Information in a Hypertext Medical Handbook. In: Weiss, Stephen and Schwartz, Mayer (eds.) Proceedings of ACM Hypertext 87 Conference November 13-15, 1987, Chapel Hill, North Carolina. pp. 57-66.

“Effective information retrieval from large medical hypertext systems will require a combination of browsing and full-text document retrieval techniques. Using a prototype hypertext medical therapeutics handbook, I discuss one approach to information retrieval problems in hypertext. This approach responds to a query by initially treating each hypertext card as a full-text document. It then utilizes information about document structure to propagate weights to neighboring cards and produces a ranked list of potential starting points for graphical browsing.”

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