Title : Deriving concept mappings through instance mappings
| Presenter | Shenghui Wang |
| Abstract | Ontology matching is a promising step towards the solution to the interoperability problem of the Semantic Web. Instance-based methods have the advantage of focusing on the most active parts of the ontologies and reflect concept semantics as they are actually being used. Previous instance-based mapping techniques were only applicable to cases where a substantial set of instances shared by both ontologies. In this presentation, I will introduce a method which uses a lexical search engine to map instances from different ontologies. By exchanging concept classification information between these mapped instances, an artificial set of common instances is built, on which existing instance-based methods can apply. I will also present some results and some ongoing experiments. |
Title : Agents Preferences in Decentralized Task Allocation
| Presenter | Mark Hoogendoorn |
| Abstract | The ability to express preferences for specific tasks in multi-agent auctions is an important element for potential users who are considering to use such auctioning systems. In this presentation I present an approach to make such preferences explicit and to use these preferences in bids for reverse combinatorial auctions. Three different types of preference are considered: (1) preferences for particular durations of tasks, (2) preferences for certain time points, and (3) preferences for specific types of tasks. The tradeoffs between the quality of the solutions obtained and the use of preferences in the bidding process are studied empirically, focusing on effects such as increased execution time. Both synthetic data as well as real data from a logistics company is used. |