For　the　polysemy　of　hyponymy　in　the　phase　of　building　taxonomic　hierarchy,　this　paper　presents　a　method　of　sense　recognition　of　hyponymy　based　on　concept　space.　The　problem　of　sense　recognition　of　single　concept　is　transformed　into　recognition　of　hyponymy　in　concept　space.　Firstly,　the　contexts　of　hyponymy　are　acquired　iteratively　using　coordinate　relation　patterns.　Secondly　CiLin　and　the　weight　of　feature　words　are　used　to　construct　a　hyponymy-word　vector　space.　Then　LSA　is　used　to　reduce　the　dimension　of　the　vector　space.　In　the　final　phase,　the　senses　of　hyponymy　can　be　recognized　using　average-group　clustering.　The　relation　of　decreasing　degree　of　similarity　and　threshold　of　clustering,　and　the　effect　of　CiLin　and　LSA　in　experiment　are　analyzed.　Experimental　results　show　that　the　method　is　adequate　of　partitioning　the　senses　the　hyponymy.