Rule responder HCLS eScience infrastructure

ABSTRACT

The emerging field of integrative bioinformatics provides enabling methods and technologies for transparent information integration across distributed heterogenous data sources, tools and services. The aim of this article is to evolve a flexible and expandable distributed Pragmatic Web eScience infrastructure in the domain of Health Care and Life Science (HCLS), called Rule Responder HCLS. Rule Responder HCLS is about providing information consumers with rule-based agents to transform existing information into relevant information of practical consequences, hence providing control to the end-users by enabling them to express in a declarative rule-based way how to turn existing information into personally relevant information and how to react or make automated decisions on top of it.

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
        I.2.11 Distributed Artificial Intelligence

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods

Keywords:
HCLS, Prova, collaboration, complex event processing, coordination, eScience, multi agent systems, pragmatic agent web, reaction RuleML, representation languages, rule interchange format