FINDING SUITABLE KEYWORDS FOR A WEB PAGE FROM CACHES BASED ON SIMILARITY AND FREQUENCY

Yasuhiro Tajima, Yoshiyuki Kotani

Abstract

Meta data are most important entry in a web page for summarization, indexing, and so on. Unfortunately, there are many kind of matadata item but there are few guidelines for construct the metadata for a web page. We propose an metadata finding method for a web page by searching the internet caches and selecting suitable items for the target page. Our method is based on a bayesian method which is used in the area of text retrieval. We evaluate this method by an experiment to find a set of suitable keywords for a source web page. Compareing the original metatagged keywords and the system output, we obtain 74% precision and 76% recall. We can conclude that this method finds the tendency of metadata which is annotated to the pages similar to the target page.

References

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Paper Citation


in Harvard Style

Tajima Y. and Kotani Y. (2007). FINDING SUITABLE KEYWORDS FOR A WEB PAGE FROM CACHES BASED ON SIMILARITY AND FREQUENCY . In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-972-8865-78-8, pages 474-477. DOI: 10.5220/0001289204740477


in Bibtex Style

@conference{webist07,
author={Yasuhiro Tajima and Yoshiyuki Kotani},
title={FINDING SUITABLE KEYWORDS FOR A WEB PAGE FROM CACHES BASED ON SIMILARITY AND FREQUENCY},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2007},
pages={474-477},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001289204740477},
isbn={978-972-8865-78-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - FINDING SUITABLE KEYWORDS FOR A WEB PAGE FROM CACHES BASED ON SIMILARITY AND FREQUENCY
SN - 978-972-8865-78-8
AU - Tajima Y.
AU - Kotani Y.
PY - 2007
SP - 474
EP - 477
DO - 10.5220/0001289204740477