Extracting Structured Information from Chinese Wikipedia and Measuring Relatedness Between Words

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Extracting Structured Information from Chinese Wikipedia and Measuring Relatedness Between Words
Authors
He Tingting
Publication date
2012
Links
Original

Extracting Structured Information from Chinese Wikipedia and Measuring Relatedness Between Words - scientific work related to Wikipedia quality published in 2012, written by He Tingting.

Overview

The Wikipedia is the biggest web-based encyclopedia,which is written collaboratively by volunteers around the world.It has many advantages,such as wide knowledge coverage,highly structured and rapid information update.However,the Wikipedia official website just provides some original data files,and much structured semantic knowledge can't be used directly.Therefore,in this paper,we firstly extract the structured information from these data files;then,we design the object model for the information in Wikipedia,and provide an open API for Wikipedia information;finally,we propose a novel method to compute relatedness between words.

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Wikipedia Quality

Tingting, He. (2012). "[[Extracting Structured Information from Chinese Wikipedia and Measuring Relatedness Between Words]]".

English Wikipedia

{{cite journal |last1=Tingting |first1=He |title=Extracting Structured Information from Chinese Wikipedia and Measuring Relatedness Between Words |date=2012 |url=https://wikipediaquality.com/wiki/Extracting_Structured_Information_from_Chinese_Wikipedia_and_Measuring_Relatedness_Between_Words}}

HTML

Tingting, He. (2012). &quot;<a href="https://wikipediaquality.com/wiki/Extracting_Structured_Information_from_Chinese_Wikipedia_and_Measuring_Relatedness_Between_Words">Extracting Structured Information from Chinese Wikipedia and Measuring Relatedness Between Words</a>&quot;.