Academic Journal
Extracting entity-based information in cyber-physical systems
| Title: | Extracting entity-based information in cyber-physical systems |
|---|---|
| Authors: | Yuchen Yang, Lijie Li, Guisheng Yin |
| Superior Title: | International Journal of Distributed Sensor Networks, Vol 13 (2017) |
| Publisher Information: | Hindawi - SAGE Publishing, 2017. |
| Publication Year: | 2017 |
| Collection: | LCC:Electronic computers. Computer science |
| Subject Terms: | Electronic computers. Computer science, QA75.5-76.95 |
| Description: | 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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1550-1477 15501477 |
| Relation: | https://doaj.org/toc/1550-1477 |
| DOI: | 10.1177/1550147717702653 |
| Access URL: | https://doaj.org/article/d9826ecfc3b046e9b65a6974d43e2bd5 |
| Accession Number: | edsdoj.9826ecfc3b046e9b65a6974d43e2bd5 |
| Database: | Directory of Open Access Journals |
| Description not available. |