Extracting entity-based information in cyber-physical systems

Yuchen Yang, Lijie Li and Guisheng Yin

International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 4, 1550147717702653

Abstract: 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.

Keywords: Cyber-physical system; entity extraction; path expressions; relaxation (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:4:p:1550147717702653

DOI: 10.1177/1550147717702653

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