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Number 5

Semantic Similarity Measure for Pairs of Short Biological Texts

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  • International Journal of Applied Information Systems
  • Foundation of Computer Science (FCS), NY, USA
  • Volume 4 - Number 5
  • Year of Publication: 2012
  • Authors: Olivia Sanchez Graillet
  • 10.5120/ijais12-450699
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  • Olivia Sanchez Graillet 2012. Semantic Similarity Measure for Pairs of Short Biological Texts. International Journal of Applied Information Systems. 4, 5 (October 2012), 1-5. DOI=http://dx.doi.org/10.5120/ijais450699 
  • @article{10.5120/ijais2017451568,
author = {Olivia Sanchez Graillet},
title = {Semantic Similarity Measure for Pairs of Short Biological Texts},
journal = {International Journal of Applied Information Systems},
issue_date = {October 2012},
volume = {4},
number = {},
month = {October},
year = {2012},
issn = {},
pages = {1-5},
numpages = {},
url = {/archives/volume4/number5/295-0699},
doi = { 10.5120/ijais12-450699},
publisher = { xA9 2010 by IJAIS Journal},
address = {}
}

  • %1 450699
%A Olivia Sanchez Graillet
%T Semantic Similarity Measure for Pairs of Short Biological Texts
%J International Journal of Applied Information Systems
%@ 
%V 4
%N 
%P 1-5
%D 2012
%I  xA9 2010 by IJAIS Journal

Abstract

This paper discusses the different approaches to performance analysis of cloud computing platforms and proposes a queuing model for performance analysis of a web application. In this model, the cloud computing platform is modeled as multiple queues and the virtual machines VMs are modeled as service centers. In this model, the instances act as virtual machines and VMs run on servers, its number decided a priori before running an application. The performance of closed jobs executing on cloud computing platform was analyzed for different distributions. The model is based on the Reserved Instances behavior of applications on Amazon EC2.

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Keywords

Semantic Similarity, Ontology, Knowledge Discovery, Text

Index Terms

Computer Science
Information Sciences