Title :
Event Similarity Computation in Text
Author :
Zhang, Xujie ; Liu, Zongtian ; Liu, Wei ; Xu, Wenjie ; Wang, Dong
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
Event similarity computation in text plays a vital role in the research of event ontology and construction, reduction as well as expansion of event networks. Furthermore, it\´s the precondition for application of event-based knowledge system. Existing event similarity computation methods are merely suitable for event ontology. In this paper, a new method for event similarity computation in texts is proposed, which is based on "TongyiciCilin" and "Maximum String Match". Experiment results indicate the approach is reasonable and effective.
Keywords :
ontologies (artificial intelligence); text analysis; TongyiciCilin; event construction; event ontology; event reduction; event similarity computation methods; event-based knowledge system; events in text; maximum string match; Cities and towns; Dictionaries; Earth; Earthquakes; Ontologies; Semantics; event; event similarity; events in text; fuzzy computation;
Conference_Titel :
Internet of Things (iThings/CPSCom), 2011 International Conference on and 4th International Conference on Cyber, Physical and Social Computing
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1976-9
DOI :
10.1109/iThings/CPSCom.2011.60
