An Evaluation Platform for Semantic Web Technology

The vision of the Semantic Web aims at enhancing today’s Web in order to provide a more efficient and reliable environment for both providers and consumers of Web resources (i.e. information and services). To deploy the Semantic Web, various technologies have been developed, such as machine understandable description languages, language parsers, goal matchers, and resource composition algorithms. Since the Semantic Web is just emerging, each technology tends to make assumptions about different aspects of the Semantic Web’s architecture and use…


1 Introduction
1.1 Research problem
1.2 Contributions
1.3 Outline of the thesis
1.4 Relation to previous published work of the author
2 The Semantic Web
2.1 Machine-understandable languages
2.2 Semantic annotation description languages
2.3 Semantic-aware tools
2.4 Semantic Web operations
2.5 Difficulties to overcome for deployment of the Semantic Web
3 Illustrative Scenario
4 Model for the Simulation and Evaluation Platform
4.1 Requirements for a simulation and evaluation platform
4.2 Platform model
4.2.1 Modeling assumptions about the Semantic Web
4.2.2 Modeling the Semantic Web
4.2.3 The platform
5 Implementation of the Simulation and Evaluation Platform
5.1 Support for the operation component
5.2 Evaluation support
5.3 Settings
5.4 A multi-agent system
5.5 Related work
6 sButler: a Requester Agent
6.1 Organizational workflows
6.2 A Model for the integration of organizational workflows and the Semantic Web
6.3 sButler architecture
7.1 The problem of query generation for service retrieval
7.2 The DTP logical vie
7.3 Definition of the DTP language extension
7.4 Ontologies for the DTP language extension
7.4.1 The MIT process handbook as a source of knowledge
7.4.2 A conceptual structure for the MIT process handbook
7.4.3 Specifying constraints on Activity concept
7.4.4 Using the MIT process handbook as a knowledge resource on business processes
7.4.5 Using the DTP language extension to describe queries and Web services
7.5 Matchmaking with the DTP language extension
7.5.1 Matching categories
7.5.2 Different matchmaking approaches
7.5.3 The current matchmaking approaches are not satisfactory
7.5.4 Using the existing matchmaking algorithm
7.7 Comparison of OWL-DTP, OWL-S and WSMO
7.7.1 OWL-S
7.7.2 WSMO
7.7.3 Comparison method
7.7.4 Test suite
7.7.5 Expressing queries with OWL-S, WSMO, and OWL-DTP
7.7.6 Discussion
8 Prototype Implementation of sButler making use of OWL-DTP
9 Platform: Illustration of Use, Evaluation, and Lessons Learned
9.1 Illustration
9.1.1 Assumptions
9.1.2 Integrating the assumptions in the evaluation platform
9.1.3 Evaluation of the service discovery approach
9.1.4 Platform evaluation
9.2 Lessons learned
10 Conclusion and Future Work

Author: Åberg, Cécile

Source: Linköping University

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