scholarly journals Overview of GFO 2.0 Functions: An ontology module for representing teleological knowledge

2021 ◽  
Vol 192 ◽  
pp. 1021-1030
Author(s):  
Patryk Burek ◽  
Frank Loebe ◽  
Heinrich Herre
Keyword(s):  
2014 ◽  
Vol 627 ◽  
pp. 207-211
Author(s):  
Yan Hui Wang ◽  
Li Feng Bi ◽  
Li Jie Li

The plug door system is an important guarantee of the safe operation of the emu, since it has structural redundancy, correlation function and fault dynamic characteristics, this paper uses the dynamic fault tree analysis method for reliability analysis. In deep understanding of the basis of the structure and working principle of the plug door, dynamic fault tree model is established by the way of structure ontology, Module iteration is introduced , and the Markov method is adopted to solve the reliability. At the last, we obtained the equipment failure rate and the reliability of the whole system.


2013 ◽  
Vol 45 (1) ◽  
pp. 61-94 ◽  
Author(s):  
Nesrine Ben Mustapha ◽  
Marie-Aude Aufaure ◽  
Hajer Baazaoui Zghal ◽  
Henda Ben Ghezala
Keyword(s):  

Author(s):  
Yongquan Liang ◽  
Hongmei Zhu ◽  
Qijia Tian ◽  
Shujuan Ji

2014 ◽  
Vol 668-669 ◽  
pp. 1198-1201
Author(s):  
Hong Mei Zhu ◽  
Liang Zhang ◽  
Wei Sun

In semantic Web, extensive reuse of existing large ontology is one of the central ideas of ontology engineering. Ontology extraction should return relative sub-ontology that covers some sub-vocabulary. The efficiency of the existing ontology extraction algorithm is relatively low when they try to get a suitable ontology module from ontology at run time. This paper proposed a kind of ontology module extraction method. Related concepts and criterions of ontology modules extraction are studied; data structures and identification and evaluation methods of ontology module extraction are discussed; preliminary experimental results and the corresponding analysis are also shown.


2014 ◽  
Vol 2014 ◽  
pp. 1-5
Author(s):  
Keonsoo Lee ◽  
Seungmin Rho ◽  
Seok-Won Lee

In mobile cloud computing environment, the cooperation of distributed computing objects is one of the most important requirements for providing successful cloud services. To satisfy this requirement, all the members, who are employed in the cooperation group, need to share the knowledge for mutual understanding. Even if ontology can be the right tool for this goal, there are several issues to make a right ontology. As the cost and complexity of managing knowledge increase according to the scale of the knowledge, reducing the size of ontology is one of the critical issues. In this paper, we propose a method of extracting ontology module to increase the utility of knowledge. For the given signature, this method extracts the ontology module, which is semantically self-contained to fulfill the needs of the service, by considering the syntactic structure and semantic relation of concepts. By employing this module, instead of the original ontology, the cooperation of computing objects can be performed with less computing load and complexity. In particular, when multiple external ontologies need to be combined for more complex services, this method can be used to optimize the size of shared knowledge.


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