Research on Knowledge Extraction of Maritime Operational Decision-Making Sentences

Xinye Zhao; Xiaoli Lian; Peng Liu; Chengzhi Gao

doi:10.1007/978-981-19-6052-9_75

Research on Knowledge Extraction of Maritime Operational Decision-Making Sentences

Xinye Zhao^*
, Xiaoli Lian
, Peng Liu
, Chengzhi Gao

^*Corresponding author for this work

School of Computer Science and Engineering

Dalian Naval Academy

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper details the challenges and explores the technical novelty associated with extracting knowledge of maritime operational decision-making sentences. Due to the specificity of the operational decision-making text, many specialized terms will be included in the operational decision-making sentences. For further extraction, it is necessary to first extract the specialized terms in the operational planning sentences to provide support for subsequent synonym identification. In order to identify the terms with the same meaning in the operational decision document when building the operational decision domain knowledge base, avoid the entity redundancy of the domain knowledge base, and at the same time, when extracting the operational decision sentence relationship, it is possible to identify different description methods of the same entity, it is necessary to perform synonym identification on the extracted operational decision terms.

Original language	English
Title of host publication	Proceedings of 2022 10th China Conference on Command and Control
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	836-845
Number of pages	10
ISBN (Print)	9789811960512
DOIs	https://doi.org/10.1007/978-981-19-6052-9_75
State	Published - 2022
Event	10th China Conference on Command and Control, C2 2022 - Beijing, China Duration: 7 Jul 2022 → 9 Jul 2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	949 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	10th China Conference on Command and Control, C2 2022
Country/Territory	China
City	Beijing
Period	7/07/22 → 9/07/22

Keywords

Knowledge extraction
Operational decision-making
Operations plan
Text processing

Access to Document

10.1007/978-981-19-6052-9_75

Cite this

Zhao, X., Lian, X., Liu, P., & Gao, C. (2022). Research on Knowledge Extraction of Maritime Operational Decision-Making Sentences. In Proceedings of 2022 10th China Conference on Command and Control (pp. 836-845). (Lecture Notes in Electrical Engineering; Vol. 949 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-6052-9_75

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title = "Research on Knowledge Extraction of Maritime Operational Decision-Making Sentences",

abstract = "This paper details the challenges and explores the technical novelty associated with extracting knowledge of maritime operational decision-making sentences. Due to the specificity of the operational decision-making text, many specialized terms will be included in the operational decision-making sentences. For further extraction, it is necessary to first extract the specialized terms in the operational planning sentences to provide support for subsequent synonym identification. In order to identify the terms with the same meaning in the operational decision document when building the operational decision domain knowledge base, avoid the entity redundancy of the domain knowledge base, and at the same time, when extracting the operational decision sentence relationship, it is possible to identify different description methods of the same entity, it is necessary to perform synonym identification on the extracted operational decision terms.",

keywords = "Knowledge extraction, Operational decision-making, Operations plan, Text processing",

author = "Xinye Zhao and Xiaoli Lian and Peng Liu and Chengzhi Gao",

note = "Publisher Copyright: {\textcopyright} 2022, Chinese Institute of Command and Control.; 10th China Conference on Command and Control, C2 2022 ; Conference date: 07-07-2022 Through 09-07-2022",

year = "2022",

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language = "英语",

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Zhao, X, Lian, X, Liu, P & Gao, C 2022, Research on Knowledge Extraction of Maritime Operational Decision-Making Sentences. in Proceedings of 2022 10th China Conference on Command and Control. Lecture Notes in Electrical Engineering, vol. 949 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 836-845, 10th China Conference on Command and Control, C2 2022, Beijing, China, 7/07/22. https://doi.org/10.1007/978-981-19-6052-9_75

Research on Knowledge Extraction of Maritime Operational Decision-Making Sentences. / Zhao, Xinye; Lian, Xiaoli; Liu, Peng et al.
Proceedings of 2022 10th China Conference on Command and Control. Springer Science and Business Media Deutschland GmbH, 2022. p. 836-845 (Lecture Notes in Electrical Engineering; Vol. 949 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper details the challenges and explores the technical novelty associated with extracting knowledge of maritime operational decision-making sentences. Due to the specificity of the operational decision-making text, many specialized terms will be included in the operational decision-making sentences. For further extraction, it is necessary to first extract the specialized terms in the operational planning sentences to provide support for subsequent synonym identification. In order to identify the terms with the same meaning in the operational decision document when building the operational decision domain knowledge base, avoid the entity redundancy of the domain knowledge base, and at the same time, when extracting the operational decision sentence relationship, it is possible to identify different description methods of the same entity, it is necessary to perform synonym identification on the extracted operational decision terms.

AB - This paper details the challenges and explores the technical novelty associated with extracting knowledge of maritime operational decision-making sentences. Due to the specificity of the operational decision-making text, many specialized terms will be included in the operational decision-making sentences. For further extraction, it is necessary to first extract the specialized terms in the operational planning sentences to provide support for subsequent synonym identification. In order to identify the terms with the same meaning in the operational decision document when building the operational decision domain knowledge base, avoid the entity redundancy of the domain knowledge base, and at the same time, when extracting the operational decision sentence relationship, it is possible to identify different description methods of the same entity, it is necessary to perform synonym identification on the extracted operational decision terms.

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KW - Operations plan

KW - Text processing

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