SDRC2007
From semanticweb.org
| SDRC2007 | |
|---|---|
Semantic-Based Resource Discovery, Retrieval and Composition
| |
| Subevent of | SAC2007 |
| Start | March 11 2007 (iCal) |
| End | March 15 2007 |
| Homepage: | Homepage |
| Location | |
| City: | Seoul |
| Country: | South Korea |
| Important dates | |
| Papers due: | September 8 2006 |
| Notification: | October 16 2006 |
| Camera ready due: | October 30 2006 |
Event in series SDRC
| |
SEMANTIC-BASED RESOURCE DISCOVERY, RETRIEVAL AND COMPOSITION Track
This track aims at gathering researchers from various fields, spanning from web/mobile services discovery and composition, to intelligent multimedia retrieval, to planning in artificial intelligence, to matchmaking in electronic commerce. We envisage the following topics as central for the track:
- retrieval of resource descriptions
- knowledge management
- supply chain formation
- web/mobile service discovery and composition
- matchmaking of resource request and resource providers
- node discovery in P2P networks
- semantic-based resource negotiation
- semantic annotation for multimedia
- information integration
- semantic grid
All these topics share as central the notion of "Semantically-annotated Resource" in general searching problems with respect to a request. A resource is a broad term comprising goods in electronic commerce, information available in remote sites, services announced through Internet, learning objects, digital images, to mention a few. Whatever their nature, the term "resource" is used in a general sense for whatever might be identified atomically and univocally. Hence, the problem of resource matching and retrieval arises in several scenarios. The front-end of a resource is always a description of what the resource is, what it provides, who can access it, possibly with side economic constraints. All this information can be semantically annotated, either directly in XML, or using some upper strata for defining standard terms as in ebXML, or OWL-S. While semantic annotation rules out ambiguities of Natural Language, the problem raises about how well a single resource fits a particular request, or whether there is a pool of resources which - suitably composed - cover a request. Side economic conditions in resource descriptions, such as cost, method of payment, payments delay, can make compositions difficult to be properly formed, while economic constraints in resource request usually filter out some solutions.
