Discovering alias for chemical material with NGD

Ching Yi Chen, Ping Yu Hsu, Ming Shien Cheng, Jui Yi Chung, Ming Chia Hsu

研究成果: 書貢獻/報告類型篇章同行評審

摘要

The complexity of chemical substance names makes it difficult to fully describe chemical substances using just several keywords. We usually find related information through search engines or look up an online chemical dic-tionary. However, the chemical material names used in academy usually translated from English, and the same chemicals often have many different aliases. This English Chinese translation creates many problems when querying information for chemicals. Recent studies have proposed to use Normalized Google Distance (NGD) to determine semantic relevance between two words. Therefore, this study proposes to find alias based on NGD with two methods, namely, novel and category affixed methods. The Experimental results show that the latter method can derive better result.

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主出版物標題Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
發行者Springer Verlag
頁面123-131
頁數9
DOIs
出版狀態已出版 - 2016

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9713 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

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