Difference between revisions of "Measuring Similarities Between Technical Terms based on Wikipedia"
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| − | '''Measuring Similarities Between Technical Terms based on Wikipedia''' - scientific work related to Wikipedia quality published in 2011, written by Myunggwon Hwang, Do-Heon Jeong, Seungwoo Lee and Hanmin Jung. | + | '''Measuring Similarities Between Technical Terms based on Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2011, written by [[Myunggwon Hwang]], [[Do-Heon Jeong]], [[Seungwoo Lee]] and [[Hanmin Jung]]. |
== Overview == | == Overview == | ||
| − | The term similarities are utilized for measuring relatedness which is useful for semantic information processing such as content understanding, query expansion and word sense disambiguation. In research, term similarities are used for grasping technical terms deeply related to emerging technologies. To measure term similarities, authors propose a hybrid method based on both Wikipedia category and internal link information. And its performance is evaluated by comparative analysis with WLM (Wikipedia Link-based Measure), which is a state-of-the-art methodology. The performance evaluation shows that method works better than other methods. | + | The term similarities are utilized for measuring [[relatedness]] which is useful for [[semantic information]] processing such as content understanding, query expansion and word sense disambiguation. In research, term similarities are used for grasping technical terms deeply related to emerging technologies. To measure term similarities, authors propose a hybrid method based on both [[Wikipedia]] category and internal link information. And its performance is evaluated by comparative analysis with WLM (Wikipedia Link-based Measure), which is a state-of-the-art methodology. The performance evaluation shows that method works better than other methods. |
Revision as of 11:52, 15 September 2019
Measuring Similarities Between Technical Terms based on Wikipedia - scientific work related to Wikipedia quality published in 2011, written by Myunggwon Hwang, Do-Heon Jeong, Seungwoo Lee and Hanmin Jung.
Overview
The term similarities are utilized for measuring relatedness which is useful for semantic information processing such as content understanding, query expansion and word sense disambiguation. In research, term similarities are used for grasping technical terms deeply related to emerging technologies. To measure term similarities, authors propose a hybrid method based on both Wikipedia category and internal link information. And its performance is evaluated by comparative analysis with WLM (Wikipedia Link-based Measure), which is a state-of-the-art methodology. The performance evaluation shows that method works better than other methods.
