SGF ( Semantic Graphs Fusion ): A Knowledge based Representation of Textual Resources for Text Mining Applications

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Jaderyan Morteza; KHOTANLOU HASSAN

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Paper Information

Journal: JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION Year:2019 | Volume:7 | Issue:2 (26) Page(s): 120-133

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Title

SGF ( Semantic Graphs Fusion ): A Knowledge based Representation of Textual Resources for Text Mining Applications

Author(s)

Jaderyan Morteza | KHOTANLOU HASSAN | Issue Writer Certificate

Keywords

Semantic document representation

Ontology

Knowledge base (KB)

Semantic network

Information fusion

Abstract

The proper representation of textual documents has been the greatest challenge in text mining applications. In this paper, a knowledge-based representation model for text analysis applications is introduced. The proposed functionalities of the system are achieved by integrating structured knowledge in the core components of the system. The semantic, lexical, syntactical and structural features are identified by the pre-processing module. The enrichment module is introduced to identify contextually similar concepts and concept maps for improving the representation. The information content of documents and the enriched contents are then fused (merged) into the graphical structure of a semantic network to form a unified and comprehensive representation of documents. The 20Newsgroup and Reuters-21578 datasets are used for evaluation. The evaluation results suggest that the proposed method exhibits a high level of accuracy, recall and precision. The results also indicate that even when a small portion of the information content is available, the proposed method performs well in standard text mining applications.

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APA: Copy

Jaderyan, Morteza, & KHOTANLOU, HASSAN. (2019). SGF ( Semantic Graphs Fusion ): A Knowledge based Representation of Textual Resources for Text Mining Applications. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 7(2 (26)), 120-133. SID. https://sid.ir/paper/332792/en

Vancouver: Copy

Jaderyan Morteza, KHOTANLOU HASSAN. SGF ( Semantic Graphs Fusion ): A Knowledge based Representation of Textual Resources for Text Mining Applications. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2019;7(2 (26)):120-133. Available from: https://sid.ir/paper/332792/en

IEEE: Copy

Morteza Jaderyan, and HASSAN KHOTANLOU, “SGF ( Semantic Graphs Fusion ): A Knowledge based Representation of Textual Resources for Text Mining Applications,” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 7, no. 2 (26), pp. 120–133, 2019, [Online]. Available: https://sid.ir/paper/332792/en

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