Concept Similarity in Multidisciplinary Learning

2012 ◽  
pp. 732-735
Author(s):  
Rui Zhang ◽  
Yimin Zhu
Keyword(s):  
Concept Similarity

A Recipe for Concept Similarity

2007 ◽  
Vol 22 (1) ◽  
pp. 68-91 ◽  
Author(s):  
TIM SCHROEDER
Keyword(s):  
Concept Similarity

Personalizing a Concept Similarity Measure in the Description Logic DLELH with Preference Profile

2018 ◽  
Vol 37 (3) ◽  
pp. 581-613 ◽  
Author(s):  
Teeradaj Racharak ◽  
Boontawee Suntisrivaraporn ◽  
Satoshi Tojo
Keyword(s):  
Similarity Measure ◽  
Description Logic ◽  
Preference Profile ◽  
Concept Similarity

Research on Semantic Retrieval System for the Document Knowledge Based on Domain Ontology

2011 ◽  
Vol 204-210 ◽  
pp. 2171-2175
Author(s):  
Zi Yu Liu ◽  
Dong Li Zhang ◽  
Xue Hui Li
Keyword(s):  
High Speed ◽  
Retrieval System ◽  
Domain Ontology ◽  
Experimental Results ◽  
Semantic Retrieval ◽  
High Speed Railway ◽  
Knowledge Based ◽  
Main Components ◽  
Railway Domain ◽  
Concept Similarity

Domain ontology can effectively organize the knowledge of that domain and make it easier to share and reuse. We can build domain ontology on thesaurus and thematic words and index document knowledge using domain ontology. Under which this paper designs a semantic retrieval system for the document knowledge based on domain ontology, and the system consists of four main components: ontology query, semantic precomputation for document and the concept similarity, semantic extended search and reasoning search. Finally, this paper makes an experiment on high-speed railway domain. The experimental results show that the developed semantic retrieval system can reach the satisfied recall and precision.

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