Abstract
Understanding the functional mechanisms of the complex biological system as a whole is drawing more and more attention in global health care management. Traditional Chinese Medicine (TCM), essentially different from Western Medicine (WM), is gaining increasing attention due to its emphasis on individual wellness and natural herbal medicine, which satisfies the goal of integrative medicine. However, with the explosive growth of biomedical data on the Web, biomedical researchers are now confronted with the problem of large-scale data analysis and data query. Besides that, biomedical data also has a wide coverage which usually comes from multiple heterogeneous data sources and has different taxonomies, making it hard to integrate and query the big biomedical data. Embedded with domain knowledge from different disciplines all regarding human biological systems, the heterogeneous data repositories are implicitly connected by human expert knowledge. Traditional search engines cannot provide accurate and comprehensive search results for the semantically associated knowledge since they only support keywords-based searches. In this paper, we present BioTCM-SE, a semantic search engine for the information retrieval of modern biology and TCM, which provides biologists with a comprehensive and accurate associated knowledge query platform to greatly facilitate the implicit knowledge discovery between WM and TCM.
Highlights
More and more biomedical researchers are focusing their attention on learning from complementary and alternative medicine (CAM) [1] in order to develop effective patient-targeted remedies, which is tagged as personalized medicine or integrative medicine
It will be of great value to provide biologists with an association search engine for the information retrieval of modern biology and Traditional Chinese Medicine (TCM) to understand the functional mechanisms of the complex biological system as a whole
We present a novel semantic search engine BioTCM-SE, which aims at providing a comprehensive and accurate information retrieval system for large-scale modern biology data and TCM data
Summary
More and more biomedical researchers are focusing their attention on learning from complementary and alternative medicine (CAM) [1] in order to develop effective patient-targeted remedies, which is tagged as personalized medicine or integrative medicine. We present a novel semantic search engine BioTCM-SE, which aims at providing a comprehensive and accurate information retrieval system for large-scale modern biology data and TCM data. It is quite useful for biologists who focus on the association discovery between modern biology and TCM by offering easy and comprehensive search services. (iii) We show the search functions of BioTCM-SE prototype by demonstrating several common use cases These query results are quite useful for both TCM and modern biomedical researchers to understand the possible therapeutic mechanisms of TCMs from the perspective of modern biology, assist novel drug discovery by TCM remedies, and so on.
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