With　the　growing　number　of　web　services,　the　importance　of　matching　and　discovery　web　services　is　increasing.　Using　domain　ontology　to　describe　the　semantic　of　web　services　and　matching　the　web　services　on　the　semantic　level　is　a　hot　research　pot.　In　this　paper,　the　problem　of　matching　web　services　is　transformed　to　the　computation　of　semantic　similarity　between　concepts　in　domain　ontology.　We　propose　the　semantic　similarity　can　be　measured　from　the　semantic　distance　and　consider　the　factors　of　pathlengh,　depth,　local　density　and　numberofdowndirection　in　the　algorithm.　We　establish　that　such　a　measure　is　an　effective　means　of　discriminating　services　at　a　level　of　granularity　that　is　able　to　enhance　the　matching　process　in　semantic　web　services.