By Boualem Benatallah, H. R. Motahari Nezhad (auth.), Christoph Bussler, Val Tannen, Irini Fundulaki (eds.)
This e-book constitutes the completely refereed postproceedings of the second one overseas Workshop on Semantic internet and Databases, SWDB 2004, held in Toronto, Canada in August 2004 as a satellite tv for pc workshop of VLDB 2004.
The 14 revised complete papers awarded including 2 papers through the invited keynote audio system have been conscientiously chosen in the course of rounds of reviewing and development from forty seven submissions. one of the issues addressed are information semantics, semantic net providers, service-oriented computing, workflow composition, XML semantics, relational tables, ontologies, semantic internet algebra, heterogeneous info resources, context mediation, OWL, ontology engineering, info integration, semantic internet queries, database queries, and peer-to-peer warehouses.
Read or Download Semantic Web and Databases: Second International Workshop, SWDB 2004, Toronto ,Canada, August 29-30, 2004, Revised Selected Papers PDF
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Additional info for Semantic Web and Databases: Second International Workshop, SWDB 2004, Toronto ,Canada, August 29-30, 2004, Revised Selected Papers
Example text
Since both a ‘Username’ and ‘SQL’ are given by the client, these goals are satisfied. The planner generates an agent blueprint that invokes in order: Generate Database Connection Task Æ PIERS Database Service Æ Report Results Task. Meta-Planner PIERS Database Service GTA Database Service Inputs Inputs Service Service Outputs Database Query GTA Connection Result Set Password Report Results Task Inputs Task Query Result Set Outputs Report Data I can give Username, SQL Outputs Query Result Set Generate Database Connection Task Inputs Task Username, SQL Outputs Database Connection My desired goal Report Data Fig.
We are performing meta-planning; our system builds the template (the agent blueprint) that produces the desired output type (goals), and reasons over the input and output types of the services contained within. In contrast, the planner in MindLab’s method reasons over the current data instances. 3 Agent Composition MPAC takes the blueprint of the agent generated by the planner and composes it into an EMAA agent. During this step, the agent tasks are realized into activities and put into an EMAA agent workflow.
Total-order planning with partially ordered subtasks. In: Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (2001) The OWL Services Coalition: OWL-S: Semantic Markup for Web Services. : EMAA: An Extensible Mobile Agent Architecture. In: Fifteenth National Conference on Artificial Intelligence (AAAI98), Technical Report WS-98-10:Software Tools For Developing Agents, ISBN 1-57735-063-4 (1997) OWL Web Ontology Language Overview. : DAML+OIL. : CAST Agents: Network-Centric Fires Unleashed.
