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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| Format: | Article |
| Language: | English |
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IFSA Publishing, S.L.
2013-11-01
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| Series: | Sensors & Transducers |
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| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/november_2013/PDF_vol_159/P_1554.pdf |
| Summary: | 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. |
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| ISSN: | 2306-8515 1726-5479 |