Automatic text processing
The deliberative integration of planning, execution, and learning
The deliberative integration of planning, execution, and learning
Intelligent integration of information
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Integrating information via matchmaking
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
Matchmaking for autonomous agents in electronic marketplaces
Proceedings of the fifth international conference on Autonomous agents
Heterogeneous Agent Systems
Impact: A Platform for Collaborating Agents
IEEE Intelligent Systems
Semantic Brokering over Dynamic Heterogeneous Data Sources in InfoSleuth(tm)
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Quantified matchmaking of heterogeneous services
WISE'06 Proceedings of the 7th international conference on Web Information Systems
| Hi-index | 0.00 |
A fundamental task in multi-agent systems is matchmaking, which is to retrieve and classify service descriptions of agents that (best) match a given service request. Several approaches to matchmaking have been proposed so far, which involve computation of distances between service offers and service requests that are both provided as aggregates of the same set of attributes which have atomic values. In this paper, we consider the problem of matchmaking in the setting where both service offers and requests are described in a richer language, which has complex types built from basic types using constructors such as sets, lists, or record aggregation. We investigate methods for computing distance values of complex objects, based on a generic combination of distance values of the object components, as well as domain-dependent distance functions. The methods have been implemented in GRAPPA, the Generic Request Architecture for Passive Provider Agents, which is a framework for developing open matchmaking facilities that can handle complex objects described in XML. Using GRAPPA, a large scale application has been built in the Human Resource Network project of the Office for Labor Exchange of the German government, in which job offerings have to be matched against a large database of unemployed persons and qualified candidates should be retrieved.