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A Hybrid Semantic Information Extraction Methodfor Scientific Research Papers
Received date: 2013-04-15
Revised date: 2013-05-10
Online published: 2013-06-05
Knowledge extraction techniques can not accurately extract specific theoretical approaches and performance indicators parameters mentioned in the academic literature. This paper proposed a hybrid semantic extract method to address this problem mentioned above. The proposed method combined semantic tagging technology, rule extraction technology and regular expression technology to accurately extract the relevant information from scientific literature. Firstly, semantic annotation technology was used to obtain relevant academic terms. Then, construct specific extraction rules to extract sentences associated with the performance indicators. Finally, regular expressions technology was used to accurately extract the parameters of the key performance indicators. Experiment in the field of carbon nanotube research proved that this method can rapidly, efficiently and accurately extract the scientific literature innovative research and the indicators.
Leng Fuhai , Bai Rujiang , Zhu Qingsong . A Hybrid Semantic Information Extraction Methodfor Scientific Research Papers[J]. Library and Information Service, 2013 , 57(11) : 112 -119 . DOI: 10.7536/j.issn.0252-3116.2013.11.021
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