Conceptual Analysis of Node Application Program of Semantic Reasoning Network

In this paper, we employed Semantic Reasoning Tight Method, Random Process character subset and Global Optimization Search to rank Node Application Program. The Semantic Reasoning Network is demonstrated on a dataset come from text. Here, the characteristics are treated as criteria, to classify Node...

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Main Author: Shi Yun Ping
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2013-11-01
Series:Sensors & Transducers
Subjects:
Online Access:http://www.sensorsportal.com/HTML/DIGEST/november_2013/PDF_vol_159/P_1554.pdf
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spelling doaj-d0a91974a1254f7bb91e989e7ac8750d2020-11-25T02:34:11ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792013-11-0115911167173Conceptual Analysis of Node Application Program of Semantic Reasoning NetworkShi Yun Ping0Xi'an University of Posts & Telecommunications, 710121, ChinaIn this paper, we employed Semantic Reasoning Tight Method, Random Process character subset and Global Optimization Search to rank Node Application Program. The Semantic Reasoning Network is demonstrated on a dataset come from text. Here, the characteristics are treated as criteria, to classify Node Application Program. We introduce the Related Work on Conceptual Analysis and the Terms. From the experiments, we conclude that Tight method based Semantic Reasoning Network performs better than other two techniques comparable to the Conceptual Analysis done in text.http://www.sensorsportal.com/HTML/DIGEST/november_2013/PDF_vol_159/P_1554.pdfNode application programOperation analysis (OA)Semantic reasoning NetworkRandom processTerms.
collection DOAJ
language English
format Article
sources DOAJ
author Shi Yun Ping
spellingShingle Shi Yun Ping
Conceptual Analysis of Node Application Program of Semantic Reasoning Network
Sensors & Transducers
Node application program
Operation analysis (OA)
Semantic reasoning Network
Random process
Terms.
author_facet Shi Yun Ping
author_sort Shi Yun Ping
title Conceptual Analysis of Node Application Program of Semantic Reasoning Network
title_short Conceptual Analysis of Node Application Program of Semantic Reasoning Network
title_full Conceptual Analysis of Node Application Program of Semantic Reasoning Network
title_fullStr Conceptual Analysis of Node Application Program of Semantic Reasoning Network
title_full_unstemmed Conceptual Analysis of Node Application Program of Semantic Reasoning Network
title_sort conceptual analysis of node application program of semantic reasoning network
publisher IFSA Publishing, S.L.
series Sensors & Transducers
issn 2306-8515
1726-5479
publishDate 2013-11-01
description In this paper, we employed Semantic Reasoning Tight Method, Random Process character subset and Global Optimization Search to rank Node Application Program. The Semantic Reasoning Network is demonstrated on a dataset come from text. Here, the characteristics are treated as criteria, to classify Node Application Program. We introduce the Related Work on Conceptual Analysis and the Terms. From the experiments, we conclude that Tight method based Semantic Reasoning Network performs better than other two techniques comparable to the Conceptual Analysis done in text.
topic Node application program
Operation analysis (OA)
Semantic reasoning Network
Random process
Terms.
url http://www.sensorsportal.com/HTML/DIGEST/november_2013/PDF_vol_159/P_1554.pdf
work_keys_str_mv AT shiyunping conceptualanalysisofnodeapplicationprogramofsemanticreasoningnetwork
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