Yahoo! as an ontology: using Yahoo! categories to describe documents
| dc.contributor.author | Labrou, Yannis | |
| dc.contributor.author | Finin, Tim | |
| dc.date.accessioned | 2019-02-08T16:56:58Z | |
| dc.date.available | 2019-02-08T16:56:58Z | |
| dc.date.issued | 1999-11-02 | |
| dc.description | ACM Conference on Information and Knowledge Management (CIKM'99) | en |
| dc.description.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. | en |
| dc.description.uri | https://dl.acm.org/citation.cfm?id=319976 | en |
| dc.format.extent | 8 pages | en |
| dc.genre | conference papers and proceedings preprints | en |
| dc.identifier | doi:10.13016/m28jmd-uldm | |
| dc.identifier.citation | Yannis Labrou , Tim Finin, Yahoo! as an ontology: using Yahoo! categories to describe documents, CIKM '99 Proceedings of the eighth international conference on Information and knowledge management Pages 180-187 , 1999, DOI : 10.1145/319950.319976 | en |
| dc.identifier.uri | 10.1145/319950.319976 | |
| dc.identifier.uri | http://hdl.handle.net/11603/12744 | |
| dc.language.iso | en | en |
| dc.publisher | ACM | en |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.subject | information retrieval | en |
| dc.subject | ontology | en |
| dc.subject | text classification | en |
| dc.subject | UMBC Ebiquity Research Group | en |
| dc.title | Yahoo! as an ontology: using Yahoo! categories to describe documents | en |
| dc.type | Text | en |