Title :
Ontology-based spam detection filtering system
Author :
Cao, Lu ; Nie, Guihua ; Liu, Pingfeng
Author_Institution :
Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
Abstract :
Aiming at serious mobile spam messages problems, this paper discusses how to govern spam messages and keep real useful messages for the user. On the basis of the existing methods of detecting spam messages, a systematic frame model of ontology-based mobile phone spam messages detection system is presented, as well as the related key technologies.
Keywords :
information filtering; mobile computing; mobile radio; ontologies (artificial intelligence); unsolicited e-mail; mobile phone spam messages detection system; ontology-based spam detection filtering system; systematic frame model; Feature extraction; Information filtering; Mobile handsets; Ontologies; Semantics; Unsolicited electronic mail; detection; ontology; spam messages;
Conference_Titel :
Business Management and Electronic Information (BMEI), 2011 International Conference on
Print_ISBN :
978-1-61284-108-3
DOI :
10.1109/ICBMEI.2011.5920449
