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Automatic topic labelling for text document using ontology of graph-based concepts and dependency graph.

, , and . Int. J. Bus. Inf. Syst., 36 (2): 221-253 (2021)

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Automatic Evaluation of the Computing Domain Ontology., and . FDSE, volume 9446 of Lecture Notes in Computer Science, page 285-295. Springer, (2015)Solving Multiple Variable Problems by Regression Models., and . RIVF, page 624-628. IEEE, (2022)Automatic Extraction of Semantic Relations from Text Documents., and . FDSE, volume 10018 of Lecture Notes in Computer Science, page 344-351. (2016)Identifying semantic and syntactic relations from text documents., and . RIVF, page 127-131. IEEE, (2015)Building Information Extraction System Based on Computing Domain Ontology., and . iiWAS, page 454-458. ACM, (2014)Simplified effective method for identifying semantic relations from a knowledge graph., , and . J. Intell. Fuzzy Syst., 43 (2): 1871-1876 (2022)Improving the Algorithm for Mapping of OWL to Relational Database Schema., and . MLDM, volume 9166 of Lecture Notes in Computer Science, page 130-139. Springer, (2015)An Approach for Searching Semantic-based Keywords over Relational Database., and . SoICT, page 105-110. ACM, (2015)W-PathSim: Novel Approach of Weighted Similarity Measure in Content-Based Heterogeneous Information Networks by Applying LDA Topic Modeling., , and . ACIIDS (1), volume 10751 of Lecture Notes in Computer Science, page 539-549. Springer, (2018)Automatic topic labelling for text document using ontology of graph-based concepts and dependency graph., , and . Int. J. Bus. Inf. Syst., 36 (2): 221-253 (2021)