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Yahoo as an Ontology - using Yahoo categories to describe documents

Authors: Yannis K Labrou

Book Title: ACM Conference on Information and Knowledge Management (CIKM'99)

Date: November 01, 1999

Abstract: We suggest that one (or a collection) of names of Yahoo! (or any other WWW indexer's) categories can be used to describe the content of a document. Such categories offer a standardized and universal way for referring to or describing the nature of real world objects, activities, documents and so on, and may be used (we suggest) to semantically characterize the content of documents. WWW indices, like Yahoo! provide a huge hierarchy of categories (topics) that touch every aspect of human endeavors. Such topics can be used as descriptors, similarly to the way librarians use for example, the Library of Congress cataloging system to annotate and categorize books.

In the course of investigating this idea, we address the problem of automatic categorization of webpages in the Yahoo! directory. We use Telltale as our classifier; Telltale uses n-grams to compute the similarity between documents. We experiment with various types of descriptions for the Yahoo! categories and the webpages to be categorized. Our findings suggest that the best results occur when using the very brief descriptions of the Yahoo! categorized entries; these brief descriptions are provided either by the entries' submitters or by the Yahoo! human indexers and accompany most Yahoo!- indexed entries.

Type: InProceedings

Publisher: ACM

Pages: 180-187

Tags: ontology, text classification, information retrieval

Google Scholar: 31PUtDuHmnkJ

Number of Google Scholar citations: 152 [show citations]

Number of downloads: 3761


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