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Document management during establishing space knowledge base
Guo, Song; Bian, Wei; Liu, Yang; Tai, Hu
Source PublicationProceedings of the International Astronautical Congress, IAC
AbstractThere are lots of documents related to technology and engineering in space activities. It is significant to manage these documents effectively, which is a fundamental and vital task to establish a space knowledge base. We conduct some research on the methods applicable to deal with the documents generated in the space activities, specialized to the space field, based on some existing advanced algorithms including average information entropy, tfidf, and some machine learning algorithms like Textrank, support vector machine and topic model, adopted some efficient tools like ICTCLAS, scikit-learn and genism. Main application research includes the following several respects, extracting keywords from the documents automatically, generating abstracts automatically, classifying the documents automatically and recommending relevant documents automatically. All these functions are computed automatically and efficiently, so that large amount of documents can be handled easily and conveniently. The results can be applied to optimize the documents management system, and be used to improve the information retrieval system. Further, these information can be applied to the establish knowledge management system.
Conference Name66th International Astronautical Congress 2015: Space - The Gateway for Mankind's Future, IAC 2015
Conference DateOctober 12, 2015 - October 16, 2015
Conference PlaceJerusalem, Israel
Indexed ByEI
Document Type会议论文
Recommended Citation
GB/T 7714
Guo, Song,Bian, Wei,Liu, Yang,et al. Document management during establishing space knowledge base[C],2015:9757-9762.
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