Target Activity Awareness on Text Information
Tianyin Chen · Telecommunication Engineering · 2014
The dissertation mainly discusses semantic analysis of target activity description sentences in text information by establishing ontology model of target activity in accordance with rule-based technologies to realize recognition of target activity and relational semantic information extraction.On the basis of successful extraction of target activity information from a huge amount of data for establishing relations between target and time-space,it is advantageous for text information analyzers to sense the situation of the target in the time-space domain.By extraction of target activity information,conversion and analysis of structural relationships,it is possible for intelligence analyzers to obtain situation data sufficient to lock down their target,and predict or early warn target activity trends by correspondent historical target activities.