Abstract/Details

Automatic pure anchor-based taxonomy generation from the World Wide Web


2007 2007

Other formats: Order a copy

Abstract (summary)

This thesis proposes a new method of automatic taxonomy generation using the link structure of Webpages. Taxonomy is a hierarchy of concepts where each child concept is said to be encompassed by its parent concept. Techniques have previously been developed to extract taxonomies from a traditional text corpus, but this thesis relies exclusively on the links between documents in the corpus, as opposed to the text of the corpus itself.

A series of algorithms were designed and implemented to realize the objectives of this thesis. These programs perform comparably to other techniques using the text in the documents and have shown that there is information available in the link structure of Webpages when creating concept taxonomies.

Indexing (details)


Subject
Computer science
Classification
0984: Computer science
Identifier / keyword
Applied sciences
Title
Automatic pure anchor-based taxonomy generation from the World Wide Web
Author
Elliott, Joseph Paul
Number of pages
102
Publication year
2007
Degree date
2007
School code
0110
Source
MAI 45/05M, Masters Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
University/institution
University of Louisville
University location
United States -- Kentucky
Degree
M.E.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
1443915
ProQuest document ID
304848855
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/304848855
Access the complete full text

You can get the full text of this document if it is part of your institution's ProQuest subscription.

Try one of the following:

  • Connect to ProQuest through your library network and search for the document from there.
  • Request the document from your library.
  • Go to the ProQuest login page and enter a ProQuest or My Research username / password.