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Silk from a sow’s ear: Extracting usable structures from the web (1996)
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| Citations: | 267 - 9 self |
BibTeX
@INPROCEEDINGS{Pirolli96silkfrom,
author = {Peter Pirolli and James Pitkow and Ramana Rao},
title = {Silk from a sow’s ear: Extracting usable structures from the web},
booktitle = {},
year = {1996},
pages = {118--125},
publisher = {ACM Press}
}
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Abstract
In its current implementation, the World-Wide Web lacks much of the explicit structure and strong typing found in many closed hypertext systems. While this property probably relates to the explosive acceptance of the Web, it further complicates the already difficult problem of identifying usable structures and aggregates in large hypertext collections. These reduced structures, or localities, form the basis for simplifying visualizations of and navigation through complex hypertext systems. Much of the previous research into identifying aggregates utilize graph theoretic algorithms based upon structural topology, i.e., the linkages between items. Other research has focused on content analysis to form document collections. This paper presents our exploration into techniques that utilize both the topology and textual similarity between items as well as usage data collected by servers and page meta-information lke title and size. Linear equations and spreading activation models are employed to arrange Web pages based upon functional categories, node types, and relevancy.
Keyphrases
extracting usable structure sow ear world-wide web document collection linear equation explosive acceptance reduced structure explicit structure previous research functional category content analysis textual similarity difficult problem strong typing aggregate utilize graph theoretic algorithm hypertext system node type structural topology current implementation activation model meta-information lke title large hypertext collection complex hypertext system usable structure web page usage data
