Rule Based Integration of Web Services Into Semantic Data Bases


Book Description

Master's Thesis from the year 2006 in the subject Computer Science - Internet, New Technologies, grade: 1,1, University of Hagen (Institut f r Informatik), language: English, abstract: Details of a semantic annotation are outlined, both for the semantic model consisting of concepts to model the area of discourse as well as the individual model for a single service. The annotation is used to build a concrete implementation of a generic processing framework translating the annotation of a service into rules to be integrated into an OWL knowledge base rule engine. The realization is done for the Jena Semantic Web Framework, an open source library for Semantic Web application for the Java language. The realization is designed as an add-on to Jena which integrates service calls in such a way that service invocation is transparent to applications building on Jena. A discussion on optimizations, both implemented ones and realizable but not implemented ones is included. They can serve as starting points for moving the implementation from a proof of concept status to real world usability. The section finishes with some considerations on general run-time behavior. Finally the presented framework is evaluated in more detail: Firstly, a sophisticated scenario for the running example is described and shown, how automated service selection, composition and invocation is actually realized during run-time. Then the approach is evaluated with regard to services with more complex parameterizations with particular focus on the data supplied to the services and the rules generated from such complex parameterized services and whether such rules are still usable. The prime design rationale of the presented framework implementation is as a proof of concept for the approach of generically integrating Web Services as rules with Semantic knowledge bases. Therefore there is still a long way to go for a real world application to be build on the framework. At several points notes are added




Rule - Based Modeling and Computing on the Semantic Web


Book Description

This book constitutes the refereed proceedings of the International RuleML Symposium, RuleML 2011-America, held in Fort Lauderdale, FL, USA, in November 2011 - collocated with the 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011. It is the second of two RuleML events that take place in 2011. The first RuleML Symposium, RuleML 2011-Europe, has been held in Barcelona, Spain, in July 2011. The 12 full papers, 5 short papers and 5 invited track and position papers presented together with 3 keynote speeches were carefully reviewed and selected from numerous submissions. The accepted papers address a wide range of rules, semantic technology, and cross-industry standards, rules and automated reasoning, rule-based event processing and reaction rules, vocabularies, ontologies and business rules, cloud computing and rules, clinical semantics and rules.




Rule-Based Modeling and Computing on the Semantic Web


Book Description

This book constitutes the refereed proceedings of the International RuleML Symposium, RuleML 2011-America, held in Fort Lauderdale, FL, USA, in November 2011 - collocated with the 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011. It is the second of two RuleML events that take place in 2011. The first RuleML Symposium, RuleML 2011-Europe, has been held in Barcelona, Spain, in July 2011. The 12 full papers, 5 short papers and 5 invited track and position papers presented together with 3 keynote speeches were carefully reviewed and selected from numerous submissions. The accepted papers address a wide range of rules, semantic technology, and cross-industry standards, rules and automated reasoning, rule-based event processing and reaction rules, vocabularies, ontologies and business rules, cloud computing and rules, clinical semantics and rules.





Book Description




The Semantic Web


Book Description

The Semantic Web is a vision – the idea of having data on the Web defined and linked in such a way that it can be used by machines not just for display purposes but for automation, integration and reuse of data across various applications. However, there is a widespread misconception that the Semantic Web is a rehash of existing AI and database work. Kashyap, Bussler, and Moran dispel this notion by presenting the multi-disciplinary technological underpinnings such as machine learning, information retrieval, service-oriented architectures, and grid computing. Thus they combine the informational and computational aspects needed to realize the full potential of the Semantic Web vision.







Semantic Web Services for Web Databases


Book Description

Semantic Web Services for Web Databases introduces an end-to-end framework for querying Web databases using novel Web service querying techniques. This includes a detailed framework for the query infrastructure for Web databases and services. Case studies are covered in the last section of this book. Semantic Web Services For Web Databases is designed for practitioners and researchers focused on service-oriented computing and Web databases.




The Semantic Web


Book Description

This professional book provides a series of case studies which give examples of real benefits to be derived from the adoption of semantic web based ontologies in real world situations, such as telecommunication, B2B integration, tourism, education and more. The book is designed to create platforms for bringing experts together (key government representatives, industry and academia) from different countries, and to compile the most recent use of semantics and ontologies.




Semantics Empowered Web 3.0


Book Description

After the traditional document-centric Web 1.0 and user-generated content focused Web 2.0, Web 3.0 has become a repository of an ever growing variety of Web resources that include data and services associated with enterprises, social networks, sensors, cloud, as well as mobile and other devices that constitute the Internet of Things. These pose unprecedented challenges in terms of heterogeneity (variety), scale (volume), and continuous changes (velocity), as well as present corresponding opportunities if they can be exploited. Just as semantics has played a critical role in dealing with data heterogeneity in the past to provide interoperability and integration, it is playing an even more critical role in dealing with the challenges and helping users and applications exploit all forms of Web 3.0 data. This book presents a unified approach to harness and exploit all forms of contemporary Web resources using the core principles of ability to associate meaning with data through conceptual or domain models and semantic descriptions including annotations, and through advanced semantic techniques for search, integration, and analysis. It discusses the use of Semantic Web standards and techniques when appropriate, but also advocates the use of lighter weight, easier to use, and more scalable options when they are more suitable. The authors' extensive experience spanning research and prototypes to development of operational applications and commercial technologies and products guide the treatment of the material. Table of Contents: Role of Semantics and Metadata / Types and Models of Semantics / Annotation -- Adding Semantics to Data / Semantics for Enterprise Data / Semantics for Services / Semantics for Sensor Data / Semantics for Social Data / Semantics for Cloud Computing / Semantics for Advanced Applications




The Semantic Web


Book Description

The Semantic Web is a vision – the idea of having data on the Web defined and linked in such a way that it can be used by machines not just for display purposes but for automation, integration and reuse of data across various applications. However, there is a widespread misconception that the Semantic Web is a rehash of existing AI and database work. Kashyap, Bussler, and Moran dispel this notion by presenting the multi-disciplinary technological underpinnings such as machine learning, information retrieval, service-oriented architectures, and grid computing. Thus they combine the informational and computational aspects needed to realize the full potential of the Semantic Web vision.