A computational semantic information retrieval model for Vietnamese texts

2021 ◽  
Vol 24 (3) ◽  
pp. 301
Author(s):  
Tuyen Thi Thanh Do ◽  
Dang Tuan Nguyen
Keyword(s):  
Information Retrieval ◽  
Semantic Information ◽  
Retrieval Model ◽  
Semantic Information Retrieval ◽  
Computational Semantic

Study on Application of Domain Ontology in Semantic Information Retrieval

2013 ◽  
Vol 433-435 ◽  
pp. 1662-1665
Author(s):  
Huan Hai Yang ◽  
Ming Yu Sun
Keyword(s):  
Information Retrieval ◽  
Semantic Similarity ◽  
Calculation Method ◽  
Semantic Information ◽  
Domain Ontology ◽  
Semantic Retrieval ◽  
Retrieval Model ◽  
Retrieval Method ◽  
Similarity Calculation ◽  
Semantic Information Retrieval

Considering weakness of the traditional retrieval method based on keyword matching, the paper introduced semantic into information retrieval, and proposed a semantic retrieval model based on ontology. The paper offered a construction method of domain ontology and implemented semantic reasoning using Jena and improved a semantic similarity calculation method.

scholarly journals Integrating Extended Gaia Semantic Information Retrieval Model with Android based System using Native API

2019 ◽  
Vol 8 (3) ◽  
pp. 4835-4838
Keyword(s):  
Information Retrieval ◽  
Semantic Web ◽  
Semantic Information ◽  
Retrieval System ◽  
Software Agent ◽  
Information Retrieval System ◽  
Retrieval Model ◽  
Semantic Information Retrieval ◽  
Agile Software ◽  
Paper Author

In present scenario software industry becomes more advanced. We all know that for developing software system there are many latest technologies available like Agile Software development , Software Agent, Semantic Web ,IOT , Cloud Computing etc. In this paper author tries to provide implementation of Extended GAIA Semantic information Retrieval System. E.G.S.I.R. is basically combination of software agent and semantic web features

scholarly journals Semantic Information Retrieval Model: Fuzzy Ontology Approach

2014 ◽  
Vol 91 (13) ◽  
pp. 9-14 ◽  
Author(s):  
Zeinab E.Attia ◽  
Ahmed M. Gadallah ◽  
Hesham A. Hefny
Keyword(s):  
Information Retrieval ◽  
Semantic Information ◽  
Retrieval Model ◽  
Fuzzy Ontology ◽  
Semantic Information Retrieval

scholarly journals Ontology lexicalization: Relationship between content and meaning in the context of Information Retrieval

2017 ◽  
Vol 29 (1) ◽  
pp. 57-72
Author(s):  
Marcelo SCHIESSL ◽  
Marisa BRÄSCHER
Keyword(s):  
Information Retrieval ◽  
Financial Risk ◽  
Semantic Information ◽  
Semantic Annotation ◽  
Semantic Search ◽  
Retrieval Model ◽  
Lexical Database ◽  
Semantic Annotations ◽  
Proposed Model ◽  
Semantic Information Retrieval

Abstract The proposal presented in this study seeks to properly represent natural language to ontologies and vice-versa. Therefore, the semi-automatic creation of a lexical database in Brazilian Portuguese containing morphological, syntactic, and semantic information that can be read by machines was proposed, allowing the link between structured and unstructured data and its integration into an information retrieval model to improve precision. The results obtained demonstrated that the methodology can be used in the risco financeiro (financial risk) domain in Portuguese for the construction of an ontology and the lexical-semantic database and the proposal of a semantic information retrieval model. In order to evaluate the performance of the proposed model, documents containing the main definitions of the financial risk domain were selected and indexed with and without semantic annotation. To enable the comparison between the approaches, two databases were created based on the texts with the semantic annotations to represent the semantic search. The first one represents the traditional search and the second contained the index built based on the texts with the semantic annotations to represent the semantic search. The evaluation of the proposal was based on recall and precision. The queries submitted to the model showed that the semantic search outperforms the traditional search and validates the methodology used. Although more complex, the procedure proposed can be used in all kinds of domains.

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