FUZZY CLUSTERING AND INTELLIGENT SEARCH FOR A WEB-BASED FABRIC DATABASE

Author(s):  
Jianhua Chen ◽  
Yan Chen ◽  
Wei Dong Gao ◽  
Bin Zhang ◽  
Ayse Gider ◽  
...  
Author(s):  
Chang-Qin Huang ◽  
Ru-Lin Duan ◽  
Yong Tang ◽  
Zhi-Ting Zhu ◽  
Yong-Jian Yan ◽  
...  

The semantic web brings a new opportunity for efficient information organization and search. To meet the special requirements of the educational field, this paper proposes an intelligent search engine enabled by educational semantic support service, where three kinds of searches are integrated into Educational Information Intelligent Search (EIIS) framework, and web-based resources and local e-resources are both identically semantically processed. During the design, the EIISReasoning and its relevant rule sets are constructed to automatically reason semantic concepts to diverse levels by a semantic factor and a response time factor. Furthermore, the EIISRanking algorithm applies two-level ranking by a factor of semantic similarity, and the same relevance is differentiated in terms of the educational field’s needs. The experiments show that the EIIS engine with semantic services has a better precision rate and improved ranking performance.


Author(s):  
Faizan Shaikh ◽  
Usman A. Siddiqui ◽  
Iram Shahzadi ◽  
Syed I. Jami ◽  
Zubair A. Shaikh

2011 ◽  
Vol 9 (1) ◽  
pp. 21-43
Author(s):  
Chang-Qin Huang ◽  
Ru-Lin Duan ◽  
Yong Tang ◽  
Zhi-Ting Zhu ◽  
Yong-Jian Yan ◽  
...  

The semantic web brings a new opportunity for efficient information organization and search. To meet the special requirements of the educational field, this paper proposes an intelligent search engine enabled by educational semantic support service, where three kinds of searches are integrated into Educational Information Intelligent Search (EIIS) framework, and web-based resources and local e-resources are both identically semantically processed. During the design, the EIISReasoning and its relevant rule sets are constructed to automatically reason semantic concepts to diverse levels by a semantic factor and a response time factor. Furthermore, the EIISRanking algorithm applies two-level ranking by a factor of semantic similarity, and the same relevance is differentiated in terms of the educational field’s needs. The experiments show that the EIIS engine with semantic services has a better precision rate and improved ranking performance.


1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
Keyword(s):  

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.


2008 ◽  
Vol 41 (8) ◽  
pp. 23
Author(s):  
MITCHEL L. ZOLER
Keyword(s):  

2009 ◽  
Vol 42 (19) ◽  
pp. 27
Author(s):  
BRUCE JANCIN
Keyword(s):  

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