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A System for Principled Matchmaking in an Electronic Marketplace
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Semantic matchmaking as non-monotonic reasoning: a description logic approach
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Optimizing ad hoc trade in a commercial barter trade exchange
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DALT'07 Proceedings of the 5th international conference on Declarative agent languages and technologies V
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ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
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We present a novel knowledge-based approach for automated electronic barter trade systems. An e-barter is basically a closed e-marketplace, where agents may exchange (buy/sell) goods ---or equivalent trade dollars--- only with other participants to the e-barter. Obviously, in such systems one of the major issues is keeping exchanges as balanced as possible. If the description of goods or services to be exchanged is simple and limited to a well defined set, e.g. , oil, wheat, transport, etc., then an exchange based only on price and quantity is enough. But, what if goods or services to be exchanged are described in a complex way? Is it a suitable exchange the one involving mobile phones supporting video streaming with a QWERTY keyboard if the agent is looking for smart phones ? Those two descriptions, although very different form a syntactic point of view, are very similar with respect to their meaning (semantics). How could an agent manage and exploit the knowledge on a given domain to deal with such a semantic information and optimize exchanges? We focus on how to find most promising matches, in a many-to-many matchmaking process, between bids (supplies/demands), taking into account not only the price and quantities as in classical barter trade systems, but also a semantic similarity among bid descriptions while keeping exchanges balanced. To this aim we use a logical language to express agent preferences, thereby enhancing bid expressiveness. We also define a logic-based utility function that allows to evaluate the semantic similarity between bids. Finally we illustrate the optimization problem we solve in order to clear the market.