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Semantic Computing, Cloud Computing, and Semantic Search Engine

Authors: Phillip C.-Y. Sheu; Qi Wang; Ray Paul; Shu Wang; Ke Hao;

Semantic Computing, Cloud Computing, and Semantic Search Engine

Abstract

Semantic Computing extends Semantic Web both in breadth and depth. It bridges, and integrates, technologies such as software engineering, user interface, natural language processing, artificial intelligence, programming language, grid computing and pervasive computing, among others, into a complete and unified theme. Cloud Computing, the dream of computing as a utility, shifts user programs and data from personal computers to the clouds, providing all kinds of resources over the Internet as services to customers and letting customers pay for them in a way much like they pay for traditional utilities such as electricity. This paper analyzes both Semantic Computing and Cloud Computing, and introduces the Semantic Search Engine, an infrastructure and implementation of Semantic Computing, that demonstrates how Semantic Computing can benefit Cloud Computing.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
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