Keywords Identification within Greek URLs

 

Maria–Alexandra Vonitsanou¹, Lefteris Kozanidis², and Sofia Stamou³

 

¹ Computer Engineering and Informatics Department, Patras University, 26500, Greece (e–mail: bonitsan@ceid.upatras.gr).

² Computer Engineering and Informatics Department, Patras University, 26500, Greece (e–mail: kozanid@ceid.upatras.gr).

³ Computer Engineering and Informatics Department, Patras University, 26500, Greece and the Department of Archives and Library Science, Ionian University, 49100, Greece (e–mail: stamou@ceid.upatras.gr).

 

Manuscript received November 1, 2010.
Manuscript accepted for publication January 21, 2011.

 

Abstract

In this paper we propose a method that identifies and extracts keywords within URLs, focusing on the Greek Web and especially on URLs containing Greek terms. Although there are previous works on how to process Greek online content, none of them focuses on keyword identification within URLs of the Greek web domain. In addition, there are many known techniques for web page categorization based on URLs but, none addresses the case of URLs containing transliterated Greek terms. The proposed method integrates two components; a URL tokenizer that segments URL tokens into meaningful words and a Latin–to–Greek script transliteration engine that relies on a dictionary and a set of orthographic and syntactic rules for converting Latin verbalized word tokens into Greek terms. The experimental evaluation of our method against a sample of 1,000 Greek URLs reveals that it can be fruitfully exploited towards automatic keyword identification within Greek URLs.

Key words: Greek to Latin character set transliteration, Greeklish to Greek transliteration, keyword extraction, Uniform Resource Locator, word segmentation.

 

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