semantic information processing
MACHINE INTELLIGENCE 9
A. YONEZAWA and C. HEWITT 41 REPRESENTATIONS FOR ABSTRACT REASONING 4 A maximal method for set variables in automatic theorem-proving W. W. BLEDSOE
MACHINE INTELLIGENCE 6
A programming language based on sets; motivation and examples.
The state-of-the-art in web-scale semantic information processing for cloud computing
Based on integrated infrastructure of resource sharing and computing in distributed environment, cloud computing involves the provision of dynamically scalable and provides virtualized resources as services over the Internet. These applications also bring a large scale heterogeneous and distributed information which pose a great challenge in terms of the semantic ambiguity. It is critical for application services in cloud computing environment to provide users intelligent service and precise information. Semantic information processing can help users deal with semantic ambiguity and information overload efficiently through appropriate semantic models and semantic information processing technology. The semantic information processing have been successfully employed in many fields such as the knowledge representation, natural language understanding, intelligent web search, etc. The purpose of this report is to give an overview of existing technologies for semantic information processing in cloud computing environment, to propose a research direction for addressing distributed semantic reasoning and parallel semantic computing by exploiting semantic information newly available in cloud computing environment.
When you talk about "Information processing" what actually do you have in mind?
"Information processing" is a not-so-long-ago launched buzzword that is extensively used in many research fields and communities. Despite of its widespread popularity, the real meaning of it is far less acknowledged and understood. Wikipedia [1] and Plato (Stanford Encyclopedia of Philosophy) [2] provide special entries for it, but even in the lightest manner, these entries do not confront the threatening ambiguity and incomprehensibility of this expression. Positing that "Information processing is the change (processing) of information "[1] in any way does not clarify its elusive essence. The reason for that is simple - the key component of the expression ("information") has never been defined and never determined, neither in the times of ancient philosophers nor in these glorious days, when "information era" has become our blossoming reality. It is worth to be mentioned - even today "information" does not have an accepted and a generally agreed definition. Far worse than that - it has always been (and continues to be) a "bone of contention" between many prominent thinkers, scholars and scientists. I do not intend to take part in this controversy. In the paper's Reference section I provide a list of some relevant publications addressing this issue, with only one and a definite purpose in mind - to give the vigilant readers a fair opportunity to verify by themselves how useful and applicable are the concepts of information that these leading thinkers and scholars are developing and advance (L.