Learning Disease Causality Knowledge From the Web of Health Data Journal Article

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MLA

Yu, Hong Qing, and Stephan Reiff-Marganiec. "Learning Disease Causality Knowledge From the Web of Health Data." IJSWIS vol.18, no.1 2022: pp.1-19. http://doi.org/10.4018/IJSWIS.297145

APA

Yu, H. Q. & Reiff-Marganiec, S. (2022). Learning Disease Causality Knowledge From the Web of Health Data. International Journal on Semantic Web and Information Systems (IJSWIS), 18(1), 1-19. http://doi.org/10.4018/IJSWIS.297145

Chicago

Yu, Hong Qing, and Stephan Reiff-Marganiec. "Learning Disease Causality Knowledge From the Web of Health Data," International Journal on Semantic Web and Information Systems (IJSWIS) 18, no.1: 1-19. http://doi.org/10.4018/IJSWIS.297145

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Learning Disease Causality Knowledge From the Web of Health Data

International Journal on Semantic Web and Information Systems (IJSWIS)

The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.

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