“…IBMÕs Websphere (SilkRoad) matchmaking environment was the first example of commercial solution that places an explicit emphasis on the matchmaking between a demand and a supply in a peer-to-peer way, which is referred to in [36] as symmetric matchmaking. The environment is based on a matchmaking engine that describes supplies/ demands as properties and rules.…”
In this paper, we present a Description Logic approach -fully compliant with the Semantic web vision and technologies -to extended matchmaking between demands and supplies in a semantic-enabled Electronic Marketplace, which allows the semantic-based treatment of negotiable and strict requirements in the demand/supply descriptions. To this aim, we exploit two novel non-standard Description Logic inference services, Concept Contraction -which extends satisfiability -and Concept Abduction -which extends subsumption. Based on these services, we devise algorithms, which allow to find negotiation spaces and to determine the quality of a possible match, also in the presence of a distinction between strictly required and optional elements. Both the algorithms and the semantic-based approach are novel, and enable a mechanism to boost logic-based discovery and negotiation stages within an e-marketplace. A set of simple experiments confirm the validity of the approach.
“…IBMÕs Websphere (SilkRoad) matchmaking environment was the first example of commercial solution that places an explicit emphasis on the matchmaking between a demand and a supply in a peer-to-peer way, which is referred to in [36] as symmetric matchmaking. The environment is based on a matchmaking engine that describes supplies/ demands as properties and rules.…”
In this paper, we present a Description Logic approach -fully compliant with the Semantic web vision and technologies -to extended matchmaking between demands and supplies in a semantic-enabled Electronic Marketplace, which allows the semantic-based treatment of negotiable and strict requirements in the demand/supply descriptions. To this aim, we exploit two novel non-standard Description Logic inference services, Concept Contraction -which extends satisfiability -and Concept Abduction -which extends subsumption. Based on these services, we devise algorithms, which allow to find negotiation spaces and to determine the quality of a possible match, also in the presence of a distinction between strictly required and optional elements. Both the algorithms and the semantic-based approach are novel, and enable a mechanism to boost logic-based discovery and negotiation stages within an e-marketplace. A set of simple experiments confirm the validity of the approach.
“…The Matching Systems Engine is a commercial spin-off derived from the work of the e-business Solutions Group at IBM's Zurich Research Laboratory (Hoffner, 2000 andField, 2002).…”
“…IBM's Websphere matchmaking environment is, to our knowledge, the first example of commercial solution that places an explicit emphasis on the matchmaking between a demand and a supply in a peer-to-peer way, which is referred to in [19] as symmetric matchmaking. As we will point out, the notion of symmetric matchmaking is questionable.…”
More and more resources are becoming available on the Web, and there is a growing need for infrastructures that, based on advertised descriptions, are able to semantically match demands with supplies.We formalize general properties a matchmaker should have, then we present a matchmaking facilitator, compliant with desired properties.The system embeds a NeoClassic reasoner, whose structural subsumption algorithm has been modified to allow match categorization into potential and partial, and ranking of matches within categories. Experiments carried out show the good correspondence between users and system rankings.
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