Extracting entity-based information in cyber-physical systems
This article proposes a framework P 3 E for evaluating entity extraction problem over cyber-physical system data. As known by us, this article is the first work focusing on this problem, which is an important step for identifying entities in cyber-physical system data. Directed by the initial entiti...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-04-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717702653 |
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| Summary: | This article proposes a framework P 3 E for evaluating entity extraction problem over cyber-physical system data. As known by us, this article is the first work focusing on this problem, which is an important step for identifying entities in cyber-physical system data. Directed by the initial entities, utilizing the relaxation and verification techniques, P 3 E provides a path expression–based solution for entity extraction problem, which has following characteristics. First, using path expressions, P 3 E provides a condensed presentation for entity locations whose size may get very large when scaling up the data size. Second, requiring only one entity example to indicate the interests, using relaxation technique, P 3 E can discover other similar entities automatically. Third, by adjusting the example given to P 3 E , users can specify their own interesting entities and control the entities discovered by P 3 E . Besides, utilizing the idea of sharing computations, by extending previous automaton techniques, an efficient implementation of P 3 E is provided. Experimental results are reported, which show that P 3 E can provide an effective and efficient solution to the entity extraction problem. |
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| ISSN: | 1550-1477 |