Painting of glaucoma, takashi, wu tiansung. Progress in knowledge mapping. Intelligence engineering, 2017, 3(1):004-025
Progress in knowledge mapping
The research services of knowledge graph
Doi: 10. 3772/j. Issn. 2095-915x2017. 01. 02
Chinese keyword: artificial intelligence, knowledge mapping, intellectual excavation, intelligence analysis
English keyword:
Fund projects: national natural science foundation projects: map-based parallel owl methodology study (61672153)
Author
Units
Painting grylin
Faculty of computer science and engineering, south east university
Tall
Faculty of computer science and engineering, south east university
Wu tianxing
Faculty of computer science and engineering, south east university
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Abstract in chinese:
With the advent of the big data age, knowledge engineering has received widespread attention, and the extraction of useful knowledge from big data is key to big data analysis. Knowledge mapping techniques provide a means of extracting structured knowledge from big text and images and thus have broad application prospects. This paper begins with a brief review of the history of knowledge mapping and the implications of knowledge mapping research. Second, key technologies for knowledge mapping are presented, including entity relationship recognition techniques, knowledge integration technologies, entity linkage technologies and knowledge reasoning techniques. An introduction to the existing open knowledge mapping data sets is then given. Finally, examples of applications of knowledge mapping in intelligence analysis are given。
Abstract in english:
With the addition of big data, knowing that engraining has attracted wide attation, as multi-scrawled data is critical for big data analysisWe then approached technologies of knowledge gramp, including technology registration, technology of knowledge fun, technology of presence happening, and technology learning.
