Title: Critical public opinion location and intelligence theme clustering strategy-based biological virus event detection and tracking model

Authors: Zhili Pei; Yuxin Zhou; Chen Chen; Lisha Liu; Qinghu Wang

Addresses: College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China ' College of Computer Science and Technology, Inner Mongolia University for the Nationalities, Tongliao, China ' Nursing Department, The Second People's Hospital, Tongliao, China ' Automation Workstation, People's Laborational Army 65367 Troops, Tonghua, China ' College of Computer Science and Technology, Institute of Computer Application Technology, Inner Mongolia University for the Nationalities, Tongliao, China

Abstract: The new information about potential biological virus is present in the network public opinion, the spread of hot-spot biological viruses' events on network easier to tap the potential biological virus characteristics, and with the events as public opinion analysis axis, it is more targeted. The discovery and tracking of biological virus public opinion event is hot spot of public opinion research area. The discovery of new events is mainly dependent on the Topic Detection and Tracking (TDT). The paper focuses on the construction of the project-level public opinion analysis available distributed systems, proposed a new event discovery and tracking methods, introduced the concept of public opinion task allocation mechanism, defined the rule of public opinion information marks, proposed domain ontology-based event structure model, and used the regular model of area ontology to vertical search engine.

Keywords: bioinformatics; push model; task allocation; domain ontology model; POIOI; public opinion information object identifier; metadata exchange; clustering; biological viruses; event detection; event tracking.

DOI: 10.1504/IJWMC.2015.072579

International Journal of Wireless and Mobile Computing, 2015 Vol.9 No.2, pp.192 - 198

Received: 10 Apr 2015
Accepted: 04 Jun 2015
Published online: 19 Oct 2015 *

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