Knowledge Representation Method of Joint Operation Situation Based on Knowledge Graph
Xitong Fangzhen Xuebao / Journal of System Simulation, ISSN: 1004-731X, Vol: 31, Issue: 11, Page: 2228-2237
2019
- 12Citations
- 67Usage
- 8Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations12
- Citation Indexes12
- 12
- Usage67
- Downloads55
- Abstract Views12
- Captures8
- Readers8
Article Description
Lacking of common knowledge for understanding and judging complex situation of operation by machines is one of the difficulties in intelligent situation cognition. The knowledge representation methods based on knowledge graph are reviewed. The characteristics and difficulties of joint operation situation knowledge representation are analyzed. Moreover, the concept of scenario knowledge graph is presented, as well as the knowledge sources and basic content of scenario knowledge graph are described. This paper also points out that the joint knowledge representation method based on discrete symbols and continuous vectors in specific scenario is an effective way to express joint operation situation knowledge.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85075128029&origin=inward; http://dx.doi.org/10.16182/j.issn1004731x.joss.19-fz0304; https://dc-china-simulation.researchcommons.org/journal/vol31/iss11/5; https://dc-china-simulation.researchcommons.org/cgi/viewcontent.cgi?article=1971&context=journal; http://sciencechina.cn/gw.jsp?action=cited_outline.jsp&type=1&id=6606122&internal_id=6606122&from=elsevier; https://dx.doi.org/10.16182/j.issn1004731x.joss.19-fz0304; https://www.chndoi.org/Resolution/Handler?doi=10.16182/j.issn1004731x.joss.19-FZ0304
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