Abstract
BackgroundRecent advances in Web and information technologies with the increasing decentralization of organizational structures have resulted in massive amounts of information resources and domain-specific services in Traditional Chinese Medicine. The massive volume and diversity of information and services available have made it difficult to achieve seamless and interoperable e-Science for knowledge-intensive disciplines like TCM. Therefore, information integration and service coordination are two major challenges in e-Science for TCM. We still lack sophisticated approaches to integrate scientific data and services for TCM e-Science.ResultsWe present a comprehensive approach to build dynamic and extendable e-Science applications for knowledge-intensive disciplines like TCM based on semantic and knowledge-based techniques. The semantic e-Science infrastructure for TCM supports large-scale database integration and service coordination in a virtual organization. We use domain ontologies to integrate TCM database resources and services in a semantic cyberspace and deliver a semantically superior experience including browsing, searching, querying and knowledge discovering to users. We have developed a collection of semantic-based toolkits to facilitate TCM scientists and researchers in information sharing and collaborative research.ConclusionSemantic and knowledge-based techniques are suitable to knowledge-intensive disciplines like TCM. It's possible to build on-demand e-Science system for TCM based on existing semantic and knowledge-based techniques. The presented approach in the paper integrates heterogeneous distributed TCM databases and services, and provides scientists with semantically superior experience to support collaborative research in TCM discipline.
Highlights
IntroductionRecent advances in Web and information technologies with the increasing decentralization of organizational structures have resulted in massive amount of Traditional Chinese Medicine (TCM) information resources (literature, clinical records, experimental data, etc.)
Recent advances in Web and information technologies with the increasing decentralization of organizational structures have resulted in massive amounts of information resources and domain-specific services in Traditional Chinese Medicine
We have developed a collection of semantic-based toolkits to facilitate Traditional Chinese Medicine (TCM) scientists and researchers in information sharing and collaborative research
Summary
Recent advances in Web and information technologies with the increasing decentralization of organizational structures have resulted in massive amount of TCM information resources (literature, clinical records, experimental data, etc.). Many TCM scientists and biologists begin to use bioinformatics methods to analyze TCM contents from different points like biochemistry, genetics and molecular biology, so more and more biology databases have been introduced into TCM research. The information in those databases is potentially related to each other within a TCM knowledge-based system, and it is necessary for TCM scientists to reuse them in a global scope. TCM scientists need to perform dynamic data integration over hundreds of or even thousands upon thousands of geographically distributed, semantically heterogeneous data sources that are subject to different organizations
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