발간년도 : [2022]
| 논문정보 |
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| 논문명(한글) |
[Vol.17, No.5] Development of Text Annotation System Supported by Text-Mining for Constructing Plant-Biological Activity Database |
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| 논문투고자 |
Ho Jang |
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| 논문내용 |
Plant resources have long been used to treat human diseases. Plants consumed by humans affect various biological activity mechanism of the human body. Cytotoxicity, anti-inflammatory, and antioxidant mechanisms are the major biological activities of the plants. Constructing a database of plants and their biological activities is essential because it is used as foundation data for novel drug discovery from natural products. One of the ways to construct plant-biological activity database is to analyze the various literature on plant compound information. Although numerous articles that studied the relationship between the plants and the mechanism of biological activities are registered in PubMed, it requires lots of time and labor even for the relevant domain experts to screen relevant articles from numerous search results and to extract information from the text. To construct plant-biological activity database efficiently, we have developed a document screening and information extraction tool supported by text-mining techniques. The system provides a feature that groups articles into a particular biological activity or plant and another feature that highlight keywords in different colors. Additionally, an automatic article classification feature is provided to rapidly screen relevant and irrelevant documents. In future studies, more annotation automation features can be added to the system by adapting advanced machine learning techniques. Our system may be modified and applied for text data analysis of arious research domains. |
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