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| Research on Construction of a Subject Knowledge Base based on Literature Knowledge Extraction: Using the Knowledge Base of Activating Blood Circulation and Removing Stasis as the Object |
| Ma Yumeng1, Wang Fang1, Huang Jinxia1, Jiang Enbo2, Zhang Xiyu3 |
1.National Science Library, Chinese Academy of Sciences, Beijing 100190
2.Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041
3.Clinical Medical College of Chengdu University of Traditional Chinese Medicine, Chengdu 610072 |
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Abstract Researchers put forward higher requirements for efficient acquisition and utilization of domain knowledge in the big data era. As literature is an effective way for researchers to quickly and accurately understand the research situation in their field, knowledge discovery based on literature has become a new research method. As a tool to organize and manage knowledge in a specific domain, the subject knowledge base can be used to mine and present the knowledge behind the literature to meet users’ personalized needs. This paper designs the construction route of the subject knowledge base for specific research problems. An information extraction method based on knowledge engineering is adopted. First, a subject knowledge model is built through abstraction of the research elements. Then, under the guidance of the knowledge model, the knowledge extraction strategy of each model node is developed to analyze, extract, and correlate entities, relations, and attributes in the literature. Finally, a database platform based on this structured knowledge is developed that can provide a variety of services such as knowledge retrieval, knowledge browsing, knowledge Q&A, and visualization correlation. Taking construction practices in the field of activating blood circulation and removing stasis as an example, this paper analyzes how to construct a subject knowledge base based on literature knowledge extraction. As the system functional test shows, this subject knowledge base can realize the expected service scenarios such as quick query of knowledge, related discovery of knowledge and literature, and knowledge organization. As this study proposes an effective technical route to building a subject knowledge base to help researchers locate and acquire deep knowledge in literature quickly and accurately, it provides a transformation mode of resource construction and personalized precision services in the data-intensive research environment.
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Received: 20 September 2018
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