Service Composition for the Semantic Web presents an in-depth analysis of aspects related to semantic-enabled Web service modeling and composition. It also covers challenges and solutions to composing Web services on the semantic Web, and proposing a semantic framework for organizing and describing Web services.

 Service Composition for the Semantic Web describes composability and matching models to check whether semantic Web services can be combined together to avoid unexpected failures at run time, and a set of algorithms that automatically generate detailed descriptions of composite services from high-level specifications of composition requests. The book includes case studies in the areas of digital government and bioinformatics.

The 29 full, 15 short, and 4 vision papers included in this volume were carefully reviewed and selected from 221 submissions. They were organized in topical sections named: ​service modeling and mining; quality of service; microservices; service personalization, recommendation, and crowdsourcing; blockchain; IoT and green computing; services for cloud, edge, and fog computing; artificial intelligence and machine learning for service computing; vision papers.

This book reports the results of a three-year research program funded by the National Science Foundation which targeted students and teachers from four Detroit high schools in order for them to learn, experience, and use IT within the context of STEM (IT/STEM), and explore 21st century career and educational pathways.

The book discusses the accomplishment of these goals through the creation of a Community of Designers-- an environment in which high school students and teachers, undergraduate/graduate student assistants, and STEM area faculty and industry experts worked together as a cohesive team. The program created four project-based design teams, one for each STEM area. Each team had access to two year-round IT/STEM enrichment experiences to create high-quality learning projects, strategies, and curriculum models. These strategies were applied in after school, weekend, and summer settings through hands-on, inquiry-based activities with a strong emphasis on non-traditional approaches to learning and understanding. The book represents the first comprehensive description and analysis of the research program and suggests a plan for future development and refinement.        

Service Composition for the Semantic Web presents an in-depth analysis of aspects related to semantic-enabled Web service modeling and composition. It also covers challenges and solutions to composing Web services on the semantic Web, and proposing a semantic framework for organizing and describing Web services.

 Service Composition for the Semantic Web describes composability and matching models to check whether semantic Web services can be combined together to avoid unexpected failures at run time, and a set of algorithms that automatically generate detailed descriptions of composite services from high-level specifications of composition requests. The book includes case studies in the areas of digital government and bioinformatics.

The 29 full, 15 short, and 4 vision papers included in this volume were carefully reviewed and selected from 221 submissions. They were organized in topical sections named: ​service modeling and mining; quality of service; microservices; service personalization, recommendation, and crowdsourcing; blockchain; IoT and green computing; services for cloud, edge, and fog computing; artificial intelligence and machine learning for service computing; vision papers.

This book reports the results of a three-year research program funded by the National Science Foundation which targeted students and teachers from four Detroit high schools in order for them to learn, experience, and use IT within the context of STEM (IT/STEM), and explore 21st century career and educational pathways.

The book discusses the accomplishment of these goals through the creation of a Community of Designers-- an environment in which high school students and teachers, undergraduate/graduate student assistants, and STEM area faculty and industry experts worked together as a cohesive team. The program created four project-based design teams, one for each STEM area. Each team had access to two year-round IT/STEM enrichment experiences to create high-quality learning projects, strategies, and curriculum models. These strategies were applied in after school, weekend, and summer settings through hands-on, inquiry-based activities with a strong emphasis on non-traditional approaches to learning and understanding. The book represents the first comprehensive description and analysis of the research program and suggests a plan for future development and refinement.