Towards Semantic e-Science for Traditional Chinese Medicine

Chen, Huajun; Mao, Yuxin; Zheng, Xiaoqing; Cui, Meng; Feng, Yi; Deng, Shuiguang; Yin, Aining; Zhou, Chunying; Tang, Jingming; Jiang, Xiaohong; Wu, Zhaohui

doi:10.1186/1471-2105-8-s3-s6

Cited by 25 publications

(9 citation statements)

References 21 publications

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“…It is promising to see that the TCM research infrastructure is being developed. Database and data mining in TCM have been conducted (Feng et al, 2006;Chen et al, 2007;You et al, 2009). Nevertheless, there are many aspects of CWM that TCM can further learn from.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Mutual understanding between Traditional Chinese Medicine and systems biology: gaps, challenges and opportunities

2009

IJFIPM

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While Traditional Chinese Medicine (TCM) and systems biology have philosophical differences, both address human health using an integrative approach and both aim towards personalised medicine. The post-genomic era provides a unique opportunity for the two fields to understand and benefit from each other. In this review, the two approaches are compared, and various examples and hypotheses are provided to show how some practices in TCM might be interpreted by systems biology.Keywords: TCM; traditional Chinese medicine; systems biology; CWM; conventional western medicine; personalised medicine; holism; herb; circadian rhythm; water structure; acupuncture points; ZHENG; Qi; qigong; body-mind relationship; gene expression; proteomics; metabolomics.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Mutual understanding between Traditional Chinese Medicine and systems biology: gaps, challenges and opportunities

2009

IJFIPM

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“…In this section we evaluate the performance of the proposed approach by using the TCM ontology [14]. As the TCM ontology is very large, we only select a category about TCD from the whole ontology as the experimental data-set.…”

Section: Simulation Experimentsmentioning

confidence: 99%

Sub-ontology modularization for large-scale web ontologies

Mao

Wei

2009

2009 IEEE International Conference on Information Reuse &Amp; Integration

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In this paper, we propose a modularized approach for ontology reuse and sharing. In particular, we refer to the context-specific modules from large-scale ontologies as sub-ontologies. We combine the caching mechanism with ontology reuse to form sub-ontology cache. Semanticbased systems are able to take sub-ontology cache as their local knowledge-bases to support semantic-based activities. We also deal with the optimization problem for sub-ontology cache. We propose to optimize the subontologies in a cache with a semantic-based genetic algorithm. Besides, we evaluate the approach with a large-scale traditional Chinese medicine domain ontology to obtain promising results.

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“…A great number of largescale TCM scientific databases (more than 50) have been constructed. The unified TCM ontology [38] funded by the China Ministry of Science and Technology is developed to support terminology standardization, knowledge acquisition, and data integration in TCM. We conduct an experiment to verify and evaluate the proposed SubO-based resource management approach for Web-based e-learning by using the TCM ontology.…”

Section: Experiments Designmentioning

confidence: 99%

Subontology-Based Resource Management for Web-Based e-Learning

Mao

Chen

2009

IEEE Trans. Knowl. Data Eng.

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Recent advances in Web and information technologies have resulted in many e-learning resources. There is an emerging requirement to manage and reuse relevant resources together to achieve on-demand e-learning in the Web. Ontologies have become a key technology for enabling semantic-driven resource management. We argue that to meet the requirements of semantic-based resource management for Web-based e-learning, one should go beyond using domain ontologies statically. In this paper, we provide a semantic mapping mechanism to integrate e-learning databases by using ontology semantics. Heterogeneous e-learning databases can be integrated under a mediated ontology. Taking into account the locality of resource reuse, we propose to represent contextspecific portions from the whole ontology as subontologies. We present a subontology-based approach for resource reuse by using an evolutionary algorithm. We also conduct simulation experiments to evaluate the approach with a traditional Chinese medicine e-learning scenario and obtain promising results.Index Terms-Semantic Web, collaborative learning, information resource management, knowledge reuse.

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Towards Semantic e-Science for Traditional Chinese Medicine

Cited by 25 publications

References 21 publications

Mutual understanding between Traditional Chinese Medicine and systems biology: gaps, challenges and opportunities

Mutual understanding between Traditional Chinese Medicine and systems biology: gaps, challenges and opportunities

Sub-ontology modularization for large-scale web ontologies

Subontology-Based Resource Management for Web-Based e-Learning

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