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A Case for Evidence-Aware Distributed Reputation Systems – Overcoming the Limitations of Plausibilit
Activity-Based User Modeling in Service-Oriented Ad-hoc-Networks
Combining Query and Preference – An Approach to Fully Automatize Dynamic Service Binding
Comparison of Overlay Mechanisms for Service Trading in Ad hoc Networks
Coupled Signature and Specification Matching for Automatic Service Binding
Effective and Efficient Search for Services in Ad-hoc-Networks
Engineering Incentive Schemes for Ad Hoc Networks – A Case Study for the Lanes Overlay.
Handbuch zur DIANE Service Description
How Social Structure Improves Distributed Reputation Systems – Three Hypotheses
Integrating Preferences into Service Requests to Automate Service Usage
On User Support by Using Network Services
Position Paper for the First AKT Workshop on Semantic Web Services
RDF-Technologies to Provide Mobile Users with Services in Wireless Networks
The Buddy System – A Distributed Reputation System Based On Social Structure.
User Support for Formulating Complex Service Requests
Combining Query and Preference – An Approach to Fully Automatize Dynamic Service Binding
Title: | Combining Query and Preference – An Approach to Fully Automatize Dynamic Service Binding |
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Authors: | Michael Klein, Birgitta König-Ries |
Source: | Short paper at IEEE International Conference on Web Services (ICWS 2004), 6.-9. July 2004 |
Place: | San Diego, CA, USA |
Date: | 2004-07-01 |
Type: | Publication |
Slides: | ICWS2004.ppt |
URL: | http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=1314822&isnumber=29136&punumber=9185&k2d |
BibTex: |
@INPROCEEDINGS{KK04a, author = {Michael Klein and Birgitta K{"o}nig-Ries}, month = {July}, year = 2004, title = {Combining Query and Preference - An Approach to Fully Automatize Dynamic Service Binding}, booktitle = {Short paper at IEEE International Conference on Web Services (ICWS 2004)}, address = {San Diego, CA, USA}, abstract = {Web services will only have advantages over existing technologies if the service binding can be performed dynamically. However, existing service description languages do not contain enough information for a computer agent to do the selection automatically during runtime on behalf of the user. This results from the fact that in most approaches the offer description language doubles as a request language, which prevents the requestor from a precise formulation of requests and preferences. Therefore, in this paper, we emphasize the need for a distinguished service request language that allows to capture all of the requestor’s preferences. We present a concrete technique to represent such preference-containing requests, which is based on fuzzy object sets.} } |