DocumentCode
3194520
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
fYear
2011
fDate
19-22 Oct. 2011
Firstpage
419
Lastpage
423
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/iThings/CPSCom.2011.60
Filename
6142300
Link To Document