Personalized Semantic Retrieval System based on Statistical Language Model

2021 ◽  
Author(s):  
Xianghao Meng ◽  
Dongmei Li ◽  
Qichen Han
Keyword(s):  
Retrieval System ◽  
Language Model ◽  
Semantic Retrieval ◽  
Statistical Language Model

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.

scholarly journals Automated DNA Assembly Based on Four-Gram Statistical Language Model

2018 ◽  
Vol 27 (6) ◽  
pp. 1200-1205
Author(s):  
Gang FANG ◽  
Wenbin LIU ◽  
Shemin ZHANG
Keyword(s):  
Language Model ◽  
Dna Assembly ◽  
Statistical Language Model
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