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With loosely coupled Web services, service-oriented applications and processes could be composite and dynamic and change service providers based on the criteria such as price, reliability, security, credit, or the elements' weighted utilities. A precise service search engine is critical for the loosely coupled applications to select emerging Web services regularly, automatically, across the Internet. Based on a developed collaborative platform for service-oriented software engineering, this paper reports an improvement to the platform by adding an ontology-based semantic service search engine, to implement automatic service discovery. The discovery service uses a matrix of description elements for search precision, uses semantic dictionary for intelligence and self-learning, and uses meta-search techniques to improve search scope. The service search engine utilizes search capability of multiple search engines and Web services registration services.