Next: Introduction
Automatic Hypertext Link Typing
James Allan
Center for Intelligent Information Retrieval
Department of Computer Science
University of Massachusetts
Amherst, MA 01003
allan@cs.umass.edu
Abstract:
We present entirely automatic methods for gathering documents 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 information retrieval techniques developed
using the Smart system. We apply an approach inspired by relationship
visualization techniques and by graph simplification, to show
how to identify automatically tangential, revision, summary, expansion,
comparison, contrast, equivalence, and aggregate links.
Keywords:
Link generation, Link types, Information retrieval
Appears in Proceedings of Hypertext '96, the Seventh ACM
Conference on Hypertext, pp. 42-52. Copyright © 1996 is
held by ACM. See proceedings for restrictions on use.
allan@wiluma.cs.umass.edu
Wed Jun 5 09:51:15 EDT 1996