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RS2D: Fast Adaptive Search for Semantic Web Services in Unstructured P2P Networks
Ulrich Basters and Matthias Klusch
German Research Center for Artificial Intelligence, Stuhlsatzenhausweg 3, 66121 Saarbruecken, Germanyuli@basters.de
klusch@dfki.de
Abstract. In this paper, we present an approach, called RS2D v1, to adaptive probabilistic search for semantic web services in unstructured P2P networks. Each service agent dynamically learns the averaged query-answer behavior of its neighbor peers, and forwards service requests to those with minimal mixed Bayesian risk of doing so in terms of estimated semantic gain and commmunication cost. Experimental evaluation shows that the RS2D search mechanism is robust against changes in the network, and fast with reasonably high precision compared to other existing relevant approaches1.
1This work has been supported by the German ministry of education and research (BMB+F 01-IW-D02-SCALLOPS), and the European Commission (FP6 IST-511632-CASCOM).
LNCS 4273, p. 87 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2006