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ABSTRACT Automatic Hypertext Link Typing
| Content Provider | CiteSeerX |
|---|---|
| Author | Allan, James |
| Abstract | We present entirely automatic methods for gathering docu-ments for a hypertext, linking the set, and annotating those connections with a description of the type (i. e., nature) of the link. Document linking is based upon high-quality informa-tion retrieval techniques developed using the Smart system. We apply an approach inspired by relationship visualization techniques and by graph simplification, to show how to iden-tif y automatically y tangential, revision, summary, expansion, comparison, contrast, equivalence, and aggregate links. KEY WORDS: Link generation, Link types, Information re-trieval In a 1989 paper outlining some design issues for hypertext, Robert Glushko’s opinion of the future of automatically gen-erating content links between documents was pessimistic: When we first began working in hypertext several years ago, we expected that it would soon be possible to ex-tract these implicit links automatically with natural lan-guage processing or clever indexing techniques.... but we have been disappointed so far and we are starting to conclude that implicit [inter-] document links are best identified by the hypertext reader. [4] The following year, Mark Bernstein arrived at a similar con-clusion after experiences with his “hypertext apprentice’’. [3] In fact, outside of specific application domains, [ 19, 15] re-searchers have seldom had marked success with automated approaches to linking documents by content. Permission to make digitsl/hard copies of all or part of this material for personal or classroom use is granted without fee provided that the copies are not made or distributed for profit or commercial advantage, the copyright notice, the title of the publication and its date appear, and notice is given that copyright is by permission of the ACM, lnc. To copy othenviae, to repubtish, to post on servers or to redistribute to lists, requires specific |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Abstract Automatic Hypertext Link Typing Commercial Advantage High-quality Informa-tion Retrieval Technique Gen-erating Content Link Mark Bernstein Design Issue Automatic Method Hypertext Several Year Aggregate Link Date Appear Natural Lan-guage Processing Hypertext Apprentice Specific Application Domain Hypertext Reader Automated Approach Smart System Link Generation Robert Glushko Opinion Implicit Inter Document Link Copyright Notice Implicit Link Similar Con-clusion Clever Indexing Technique Classroom Use Following Year Relationship Visualization Technique Information Re-trieval Graph Simplification Digitsl Hard Copy |
| Content Type | Text |
