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Secure Semantic Computing

Authors: Ryo Fujita; Shigeo Tsujii; Hiroshi Yamaguchi;

Secure Semantic Computing

Abstract

Semantic computing is an emerging research field that has drawn much attention from both academia and industry. It addresses the derivation and matching of semantics of computational "contents" where "contents" may be anything including text, multimedia, hardware, network, etc. which can be mapped to many areas in computer science that involve analyzing and processing the intension of humans with computational content. This paper discusses some potential applications of Semantic Computing in Computer Science. We examine semantic analytical techniques as applied for primary sequence analysis for genes and proteins in biomedical area. We also introduce how privacy and confidentiality problems are resolved, while the query from a user are written in natural language.

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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!
0
Average
Average
Average
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