1. Schema Matching Helen Chen CS652 Project 3 06/14/2002

2. Results from Name Matcher ApplicationTargetSource# of Attr. # of missing Attr. MatchedRecallPrecision Coursewshuwm12111 (8)*11/11 Coursewsuuwm1679 (8)*9/9 Facultywshtexas100 10/10 Facultymchtexas100 10/10 * The number in () is the # of matched before improvement

3. Results from Naïve Bayes ApplicationTargetSource# of Attr.# of Missing Attr. RecallPrecision Coursewshuwm1215/11 Coursewsuuwm1675/9 Facultywshtexas1005/105/7 Facultymchtexas1005/105/7

4. Comments  Name matcher works fine in the given two domains with appropriate dictionary –Add stemming words, synonyms, etc. in the dictionary, make the words case insensitive  Naïve Bayes is not a good schema matching method in the given domains –Use words instead of tuples as token –Use thesaurus (count stemming words and synonyms as one token, ignore cases)  Take value characteristics into account when doing instance-level analysis –String length, numeric ratio, space ratio