Integrating Bottom-Up and Top-Down Analysis for Intelligent Hypertext

dc.contributor.author Pitkow, James Edward
dc.contributor.author Recker, Mimi
dc.date.accessioned 2004-11-11T19:33:29Z
dc.date.available 2004-11-11T19:33:29Z
dc.date.issued 1994
dc.description.abstract The range of hypertext systems continues to expand, from custom-tailored, closed systems to dynamic, distributed, and open systems like the World Wide Web (WWW). The shift from closed to open systems results in a corresponding decrease in the effectiveness of metrics and techniques for providing intelligent hypertext to users. Essentially, the locus of control shifts away from developers towards users. Stated differently, the central question becomes how chaotic, loosely constrained environments, like the World Wide Web, can provide intelligent hypertext. This paper argues that viable answers are derivable from both bottom-up and top-down analyses. Furthermore, intelligent hypertext within open, client-server systems may profit by combining these two approaches. Using the WWW as a case study, a method of analysis for each approach is presented, accompanied by a discussion of the implications for implementations in open hypertext systems. en
dc.format.extent 22816 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/3607
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries GVU Technical Report;GIT-GVU-94-41
dc.subject Hypertext systems en
dc.subject World wide web en
dc.title Integrating Bottom-Up and Top-Down Analysis for Intelligent Hypertext en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Technical Report Series
relation.isOrgUnitOfPublication d5666874-cf8d-45f6-8017-3781c955500f
relation.isSeriesOfPublication a13d1649-8f8b-4a59-9dec-d602fa26bc32
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