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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Huiying Gao Stucky, W. Lei Liu |
| Copyright Year | 2009 |
| Abstract | The better way for Web services discovery is to classify the Web services into different categories when they are published in a registry. The method of intelligent clustering based classification of the Web services is mainly studied. A hybrid solution is proposed for building and populating a taxonomy structure by combining human knowledge with the techniques of artificial intelligence. The Web service is converted into standard vector format through Web service description language (WSDL) document. The self-organizing neural network based learning algorithm and clustering algorithm are designed and implemented to classify the Web services automatically. |
| Starting Page | 242 |
| Ending Page | 245 |
| File Size | 962628 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769536002 |
| DOI | 10.1109/IFITA.2009.518 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Taxonomy Humans Web service Simple object access protocol semantic vector space neural network artificial intelligence Web services Space technology Neural networks Clustering algorithms XML Artificial intelligence clustering analysis |
| Content Type | Text |
| Resource Type | Article |
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