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Knowledge Extraction from Domain-Specific Documents

Knowledge Extraction from Domain-Specific Documents

Ram Kumar, Shailesh Jaloree, R. S. Thakur
Copyright: © 2017 |Pages: 18
ISBN13: 9781522505365|ISBN10: 1522505369|EISBN13: 9781522505372
DOI: 10.4018/978-1-5225-0536-5.ch006
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MLA

Kumar, Ram, et al. "Knowledge Extraction from Domain-Specific Documents." Pattern and Data Analysis in Healthcare Settings, edited by Vivek Tiwari, et al., IGI Global, 2017, pp. 106-123. https://doi.org/10.4018/978-1-5225-0536-5.ch006

APA

Kumar, R., Jaloree, S., & Thakur, R. S. (2017). Knowledge Extraction from Domain-Specific Documents. In V. Tiwari, B. Tiwari, R. Thakur, & S. Gupta (Eds.), Pattern and Data Analysis in Healthcare Settings (pp. 106-123). IGI Global. https://doi.org/10.4018/978-1-5225-0536-5.ch006

Chicago

Kumar, Ram, Shailesh Jaloree, and R. S. Thakur. "Knowledge Extraction from Domain-Specific Documents." In Pattern and Data Analysis in Healthcare Settings, edited by Vivek Tiwari, et al., 106-123. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0536-5.ch006

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Abstract

Knowledge-based systems have become widespread in modern years. Knowledge-base developers need to be able to share and reuse knowledge bases that they build. As a result, interoperability among different knowledge-representation systems is essential. Domain ontology seeks to reduce conceptual and terminological confusion among users who need to share various kind of information. This paper shows how these structures make it possible to bridge the gap between standard objects and Knowledge-based Systems.

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