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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2013-11-01
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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 |
_version_ |
1724809811425492992 |