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A Personalized Approach to Experience-Aware Service Ranking and Selection- A Service Distribution Protocol For Mobile Ad Hoc Networks
- A Service Distribution Protocol For Mobile Ad Hoc Networks
- Adaptive Portals: Adapting and Recommending Content and Expertise
- Adaptive Treemap Based Navigation Through Web Portals
- An Extended Analysis of an Interest-Based Service Distribution Protocol for Mobile Ad-Hoc Networks
- Book Chapter: Comparison: Handling Preferences with DIANE and miAamics
- Book Chapter: Semantic Service Discovery with DIANE Service Descriptions
- Book Chapter: Service Discovery with SWE-ET and DIANE – An In-depth Comparison By Means of a Common Scenario
- Book Chapter: Status, Perspectives, and Lessons Learned
- Book Chapter: SWS Challenge Scenarios
- Evaluating Semantic Web Service Matchmaking Effectiveness Based on Graded Relevance
- On the Empirical Evaluation of Semantic Web Service Approaches: Towards Common SWS Test Collections
- On the Evaluation of Semantic Web Service Frameworks
- Ontology-Based Multidimensional Personalization Modeling for the Automatic Generation of Mashups in Next-Generation Portals
- OPOSSum – An Online Portal to Collect and Share Semantic Service Descriptions
- OPOSSum – An Online Portal to Collect and Share SWS Descriptions (Best Demo Award!)
- Personalized Recommendation of Related Content Based on Automatic Metadata Extraction
- Proceedings of the 20. Workshop on Foundations of Databases (Grundlagen von Datenbanken)
- Recommending Background Information and Related Content in Web Portals using Unstructured Data Analysis
- Service Availability, Success Ratio, Prevalence, Replica Allocation Correctness, Replication Degree, and Effects of Different Replication/Hibernation Behavior Effects of the Service Distribution Protocol for Mobile Ad Hoc Networks -A Detailed Study-
- Towards an Automatic Service Composition for Generation of User-Sensitive Mashups
- Towards Standard Test Collections for the Empirical Evaluation of Semantic Web Service Approaches
- Using Context Information to Evaluate Cooperativeness
- W3C SWS Challenge Testbed Incubator Methodology Report
Book Chapter: SWS Challenge Scenarios
| Title: | Book Chapter: SWS Challenge Scenarios |
|---|---|
| Authors: | Holger Lausen, Ulrich Küster, Charles Petrie, Michal Zaremba, Srdjan Komazec |
| Source: | Semantic Web Service Challenge - Results from the First Year; Charles Petrie, Holger Lausen, Michal Zaremba, Tiziana Margaria (Eds.) |
| Place: | Semantic Web and Beyond, Vol. 8, Springer, ISBN: 978-0-387-72495-9 |
| Date: | 2008-12-01 |
| Type: | Book Chapter |
| Abstract: |
The Semantic Web Service Challenge defines problem scenarios that serve as the basis for the certification and comparison of approaches participating in the challenge. These scenarios are classified in two broad types: Mediation and Discovery. The first primarily address aspects of data and process mediation whereas the latter focus on problems around automated service discovery. Currently, there are two main scenarios in each type which are described in detail in this chapter. |
| File: | SWSCBookChapter2Draft.pdf |
| URL: | http://www.springer.com/computer/database+management+&+information+retrieval/book/978-0-387-72495-9 |
| BibTex: |
@INCOLLECTION{LKPZK08,
author = {Holger Lausen and Ulrich K\"uster and Charles Petrie and Michal Zaremba
and Srdjan Komazec},
title = {SWS Challenge Scenarios},
booktitle = {Semantic Web Service Challenge - Results from the First Year},
publisher = {Springer},
year = {2008},
editor = {Charles Petrie and Holger Lausen and Michal Zaremba and Tiziana Margaria},
abstract = {The Semantic Web Service Challenge defines problem scenarios that serve
as the basis for the certification and comparison of approaches participating
in the challenge. These scenarios are classified in two broad types:
Mediation and Discovery. The first primarily address aspects of data
and process mediation whereas the latter focus on problems around
automated service discovery. Currently, there are two main scenarios
in each type which are described in detail in this chapter.}
} |