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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 1
19-25

Multi-document conceptual graph construction research based on open domain extraction

Sheng Yongpan1
Fu Xuefeng2
Wu Tianxing3
1. School of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China
2. School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China
3. School of Computer Science & Engineering, Southeast University, Nanjing 211189, China
DOI: 10.19734/j.issn.1001-3695.2018.05.0454

Abstract

In the background of information overload, this is challenging to mine and organize meaningful concepts and their semantic connections from a set of related documents under the same topic in information extraction. Thus, this paper proposed a novel multi-document conceptual graph construction method based on open-domain information extraction. Firstly, documents were ranked according to the improved TF-IDF weight of extracted topic words under the predefined topics, then the method relayed on a serious of methods, including coreference resolution, weight computation, triple instance extraction steps, to extract numerous representative subject-predicate-object triples from multiple documents. For filtering out the noise of open-domain information approach itself and improving the accuracy of information extraction, this paper presented a triple filtering algorithm to retain only the most salient, confident and compatible triples, which can form multiple conceptual subgraphs. Finally, in combined with the equivalent concepts and relationships across different subgraphs to connect into a fully connected conceptual graph. Experiments on signal media dataset illustrate that the proposed method has the capacity to discern key topic information corresponds to the specific topic within and across documents, and the formed conceptual graph achieves the good performance in terms of the coverage rate of topic concepts as well as the compatible triples. In actual circumstance, conceptual graph can be regarded as an important representation form of multiple documents and has the important significance for further exploring advance of the topic and generating automatic document abstraction.

Foundation Support

国家自然科学基金资助项目(61762063)
江西省自然科学基金资助项目(20171BAB202024)
江西省教育厅科研项目(GJJ170991)
国家建设高水平大学公派研究生项目(201706070049)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0454
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 19-25
Serial Number: 1001-3695(2020)01-004-0019-07

Publish History

[2020-01-05] Printed Article

Cite This Article

盛泳潘, 付雪峰, 吴天星. 基于开放域抽取的多文档概念图构建研究 [J]. 计算机应用研究, 2020, 37 (1): 19-25. (Sheng Yongpan, Fu Xuefeng, Wu Tianxing. Multi-document conceptual graph construction research based on open domain extraction [J]. Application Research of Computers, 2020, 37 (1): 19-25. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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