@article{(Open Science Index):https://publications.waset.org/pdf/15403,
	  title     = {OCIRS: An Ontology-based Chinese Idioms Retrieval System},
	  author    = {Hu Haibo and  Tu Chunmei and  Fu Chunlei and  Fu Li and  Mao Fan and  Ma Yuan},
	  country	= {},
	  institution	= {},
	  abstract     = {Chinese Idioms are a type of traditional Chinese idiomatic
expressions with specific meanings and stereotypes structure
which are widely used in classical Chinese and are still common in
vernacular written and spoken Chinese today. Currently, Chinese
Idioms are retrieved in glossary with key character or key word in
morphology or pronunciation index that can not meet the need of
searching semantically. OCIRS is proposed to search the desired
idiom in the case of users only knowing its meaning without any key
character or key word. The user-s request in a sentence or phrase will
be grammatically analyzed in advance by word segmentation, key
word extraction and semantic similarity computation, thus can be
mapped to the idiom domain ontology which is constructed to provide
ample semantic relations and to facilitate description logics-based
reasoning for idiom retrieval. The experimental evaluation shows that
OCIRS realizes the function of searching idioms via semantics, obtaining
preliminary achievement as requested by the users.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {6},
	  year      = {2010},
	  pages     = {1066 - 1072},
	  ee        = {https://publications.waset.org/pdf/15403},
	  url   	= {https://publications.waset.org/vol/42},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 42, 2010},