Scalable Semantic Web Service Discovery | A semantically enabled SOA Technique for automatically finding Web Services with high Retrieval Accuracy and high Computational Performance

Michael Stollberg

ISBN 10: 383810451X / ISBN 13: 9783838104515

Published by Südwestdeutscher Verlag für Hochschulschriften, 2015

About this Item

Scalable Semantic Web Service Discovery | A semantically enabled SOA Technique for automatically finding Web Services with high Retrieval Accuracy and high Computational Performance | Michael Stollberg | Taschenbuch | 328 S. | Deutsch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838104515 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 101644079

Bibliographic Details

• Title: Scalable Semantic Web Service Discovery | A semantically enabled SOA Technique for automatically finding Web Services with high Retrieval Accuracy and high Computational Performance
• Publisher: Südwestdeutscher Verlag für Hochschulschriften
• Publication Date: 2015
• Language: English
• ISBN 10: 383810451X
• ISBN 13: 9783838104515
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 21D millimeters 220 millimeters width by 150 millimeters height by 21 millimeters depth
• Weight: 506 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Service Oriented Architectures (SOA) proclaim the use of Web Services as the basic building blocks for IT systems. This shall facilitate better interoperability and significantly reduce development and maintenance costs. However, the provision of sophisticated SOA technologies remains a grand challenge. This book presents a scalable technique for Web Service discovery, one of the central operations in automated SOA environments. The approach supports problem-oriented and flexible Web Service usage: clients formulate their requests in terms of goals that abstract from technical details, and the system automatically detects and executes the necessary Web Services for solving this. The discovery task is performed by semantic matchmaking of ontology-based functional descriptions of goals and Web Services. This is extended with a caching mechanism that captures the results of design time discovery, and effectively utilizes this knowledge for enhancing the computational performance of the discovery at runtime. An exhaustive evaluation shows that significant improvements can be achieved in both the retrieval accuracy and the computational performance for several application scenarios.

About the Author

Dr. Michael Stollberg: Masters in Communication Studies, Business Administration, and Computer Science at the Free University of Berlin, Germany (2003); PhD in Computer Science from the Semantic Technology Institute at the University of Innsbruck, Austria (2008); project leader at SAP Research, Dresden, Germany.