Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services
| Autor: | Xiaoran Yang, Longxiang Shi, Jiaheng Qi, Gang Pan, Binbin Zhou, Shijian Li |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
China Article Subject Computer science lcsh:Medicine Inference Information Storage and Retrieval Bioinformatics General Biochemistry Genetics and Molecular Biology Pattern Recognition Automated Computer graphics 03 medical and health sciences Knowledge-based systems 0302 clinical medicine Information system Computer Graphics Humans Semantic integration 030212 general & internal medicine Information retrieval General Immunology and Microbiology Data Collection lcsh:R Reproducibility of Results General Medicine Semantics 030104 developmental biology Knowledge Conceptual graph Graph (abstract data type) Precision and recall Algorithms Medical Informatics Research Article |
| Zdroj: | BioMed Research International BioMed Research International, Vol 2017 (2017) |
| ISSN: | 2314-6133 |
| DOI: | 10.1155/2017/2858423 |
| Popis: | With the explosion of healthcare information, there has been a tremendous amount of heterogeneous textual medical knowledge (TMK), which plays an essential role in healthcare information systems. Existing works for integrating and utilizing the TMK mainly focus on straightforward connections establishment and pay less attention to make computers interpret and retrieve knowledge correctly and quickly. In this paper, we explore a novel model to organize and integrate the TMK into conceptual graphs. We then employ a framework to automatically retrieve knowledge in knowledge graphs with a high precision. In order to perform reasonable inference on knowledge graphs, we propose a contextual inference pruning algorithm to achieve efficient chain inference. Our algorithm achieves a better inference result with precision and recall of 92% and 96%, respectively, which can avoid most of the meaningless inferences. In addition, we implement two prototypes and provide services, and the results show our approach is practical and effective. |
| Databáze: | OpenAIRE |
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