Other Titles
Knowledge Management in Organizations. KMO 2015Abstract
With fast development of smart sensor devices and mobile applications, all different kinds of information related to humans can be founded on the Internet that can be seen as a universal data repository or called Web of Data. Health or healthcare related data are not exceptional in the Web of Data age. The most important and valuable data comes from IoT such as sensors and mobile activity tracking applications to support developing self-health risk detection and management applications. This paper presents a comprehensive ontology driven knowledge discovery framework in personal health domain, which aims to reason and discover health knowledge from various data sources of IoT. The framework contains a sensor oriented Personal Wellness Knowledge Ontology and data integration architecture to complete a whole lifecycle of health knowledge detecting and reasoning path. In addition, a cloud computing based parallel semantic lifting algorithm is described for illustrating the semantic data generation process in detail.Citation
Yu H.Q., Zhao X., Deng Z., Dong F. (2015) Ontology Driven Personal Health Knowledge Discovery. In: Uden L., Heričko M., Ting IH. (eds) Knowledge Management in Organizations. KMO 2015. Lecture Notes in Business Information Processing, vol 224. Springer, Cham.Publisher
Springer VerlagAdditional Links
https://link.springer.com/chapter/10.1007/978-3-319-21009-4_48Type
Book chapterLanguage
enISBN
9783319210087ae974a485f413a2113503eed53cd6c53
10.1007/978-3-319-21009-4_48