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Evaluating Instance-based Matching of Web Directories
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BibTeX
@MISC{Massmann_evaluatinginstance-based,
author = {Sabine Massmann and Erhard Rahm},
title = {Evaluating Instance-based Matching of Web Directories},
year = {}
}
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Abstract
Web directories such as Yahoo or Google Directory semantically categorize many websites and are heavily used to find relevant websites in a particular domain of interest. Mappings between different web directories can be useful to integrate the information of different directories and to improve query and search results. The creation of such mappings is a challenging match task due to the large size and heterogeneity of web directories. Our study evaluates to what degree current match technology can be used to automatically determine directory mappings. We further propose specific instance-based match techniques utilizing the URL, name and description of the categorized websites. We evaluate the instance-based approaches for different similarity measures and study their combination with metadata-based approaches.
Keyphrases
web directory instance-based matching google directory relevant website directory mapping different directory metadata-based approach particular domain challenging match task instance-based approach propose specific instance-based match technique many website different web directory current match technology different similarity measure search result categorized website large size
