Intelligent Science of Knowledge Retrieval System Model Based on Ontology

2014 ◽  
Vol 707 ◽  
pp. 441-444
Author(s):  
Ting Ting Liang ◽  
Chun Qing Li
Keyword(s):  
Information Retrieval ◽  
Detailed Analysis ◽  
Explicit Knowledge ◽  
Retrieval System ◽  
System Model ◽  
Knowledge Retrieval ◽  
Subject Knowledge ◽  
Retrieval Efficiency ◽  
Implicit And Explicit ◽  
Knowledge Ontology

Compared with the traditional information retrieval, knowledge retrieval based on ontology has higher retrieval efficiency. In order to adequate arena for the effectiveness of knowledge,and intelligence to meet the users on the implicit and explicit knowledge retrieval demand, the author designed a system model of intelligent science based on ontology. Detailed analysis and elaboration of the three aspects: subject knowledge ontology construction, ontology knowledge retrieval, service based on intelligent. Provide methodological guidance and technical support to enrich the research contents in the field of knowledge retrieval.

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.

The Anatomy of an Optical Biopsy Semantic Retrieval System

2012 ◽  
Vol 19 (2) ◽  
pp. 16-27 ◽  
Author(s):  
Ruben Tous ◽  
Jaime Delgado ◽  
Thomas Zinkl ◽  
Pere Toran ◽  
Gabriela Alcalde ◽  
...  
Keyword(s):  
Retrieval System ◽  
Optical Biopsy ◽  
Semantic Retrieval

scholarly journals Ontology-Based Semantic Retrieval for Durian Pests and Diseases Control System

2021 ◽  
Vol 11 (1) ◽  
pp. 92-97
Author(s):  
Porawat Visutsak ◽  
Keyword(s):  
Control System ◽  
Southeast Asia ◽  
Leaf Area ◽  
Retrieval System ◽  
Total Production ◽  
Semantic Retrieval ◽  
Pests And Diseases ◽  
Knowledge Based ◽  
Total Crop ◽  
Overall Performance

In Southeast Asia, durian is affectionately called the king of fruit. Durian is the most popular crop planted in eastern and southern of Thailand. The total crop is around 600,000 tons per year; among this, 500,000 tons of the total production were exported worldwide. In Thailand, the knowledge of durian production is based on experience from generation to generation, especially the knowledge of durian pests and diseases control. This paper presents the ontology knowledge based for durian pests and diseases retrieval system. The major contributions of the system consist of 1) the stored knowledge of durian pests and diseases and 2) the diagnosis of durian diseases and the suggestions for the treatments. The ontology knowledge consists of 8 main classes: 1) diseases, 2) pests, 3) cultivars, 4) symptoms of bunch, 5) leaf area symptoms, 6) symptoms of the branches and trunk, 7) symptoms of fruit, and 8) symptoms of root and growth. The experimental results yielded 100% of precision, 88.33% of recall, and 93.8% of overall performance.

Research on Emergency Plan Ontology Model

2012 ◽  
Vol 488-489 ◽  
pp. 1288-1292
Author(s):  
Min Ren ◽  
Feng Yang
Keyword(s):  
Retrieval System ◽  
Semantic Model ◽  
Semantic Retrieval ◽  
Emergency Plan ◽  
Emergency Plans ◽  
The Core ◽  
Ontology Language ◽  
Ontology Model ◽  
Emergency Events ◽  
Public Emergency

Emergency plan is a project document to guide and deal with public emergency events, and also is the core of emergency management. Nowadays, most emergency plans in China exist in non-semantic form and are difficult to play roles effectively. Ontology is an important method to describe semantic model. Therefore, in this paper, emergency plan ontology model is constructed by ontology technology of semantic Web and Web Ontology Language OWL, which formally describes the conceptions of emergency plan and the relations between them. Finally, the model is used in ontology-based semantic retrieval system, and improves the retrieval recall and precision.

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