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Proposed a new way - Text clustering method based on knowledge base of the satellite
Su, Miao; Chen, Bin; Su, Miao (sumiao@nssc.ac.cn)
Source PublicationProceedings of the International Astronautical Congress, IAC
AbstractThe establishment of Satellite Knowledge Base has a strategic, long-term guidance and overall importance. Since satellite every task phase generated information and data are often in the form of a semi-structured or unstructured, different from the traditional relational database in a structured form represented by data, with its unique properties, thus causing the text mining technology on the existing difficulties, often need to adopt different from structured data mining methods. Today, text mining has become a most important in data mining and sub-fields of prosperity. Inductive knowledge base on the information how to satellite, text information organization and management, effectively and quickly, accurately, comprehensively to find and tap, orientation and form of information that users need, promoted to knowledge, making it easy for users to search become the focus of many scholars studies, at the same time also is a focus in the study of this article. This paper proposes a related to natural language processing technology based on the text clustering semantic characteristics method. By means of semantic knowledge of dictionary to category extension of words, to a certain extent, reduce the characteristics of the synonymous, effectively improve the accuracy of the clustering results, so as to improve the management efficiency of text information of satellite knowledge base. Copyright © 2017 by the International Astronautical Federation (IAF). All rights reserved.
Conference Name68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017
Conference DateSeptember 25, 2017 - September 29, 2017
Conference PlaceAdelaide, SA, Australia
Indexed ByEI
Document Type会议论文
Corresponding AuthorSu, Miao (sumiao@nssc.ac.cn)
Recommended Citation
GB/T 7714
Su, Miao,Chen, Bin,Su, Miao . Proposed a new way - Text clustering method based on knowledge base of the satellite[C],2017:10851-10856.
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