Extracting meaningful information and knowledge from free-text is the subject of
considerable research interest in the machine learning and data mining fields. Text data …

Plants have been used as a source of medicine since historic times and several
commercially important drugs are of plant-based origin. The traditional approach towards …

Network-based intervention has been a trend of curing systemic diseases, but it relies on
regimen optimization and valid multi-target actions of the drugs. The complex multi …

Abstract Motivation: Traditional Chinese medicine (TCM) is gaining increasing attention with
the emergence of integrative medicine and personalized medicine, characterized by pattern …

Semantic web technologies offer an approach to data integration and sharing, even for
resources developed independently or broadly distributed across the web. This approach is …

Abstract Background Traditional Chinese medicine (TCM) has been used to prevent, treat
and diagnose diseases for 5,000 years under the guidance of TCM theories. TCM …

We are constructing an ontology for traditional Korean medicine, and we started with
medicinal materials to express the relationships between patients' symptoms, diseases and …

An important issue faced by Software-as-a-Service (SaaS) application is scalability. Each
SaaS application is typically shared by multiple (tens or hundreds) organizations (tenants) …

Semantic Grid: Model, Methodology, and Applications introduces to the science, core
technologies, and killer applications. First, scientific issues of semantic grid systems are …

Observing the role of traditional medicines in global healthcare, World Health Organization
signifies the need to preserve knowledge of this valuable intellectual property which is being …