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Concept abduction and contraction for semantic-based discovery of matches and negotiation spaces in an e-marketplace

机译:电子市场中基于语义的匹配和协商空间发现和绑架的概念

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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.
机译:在本文中,我们提出了一种描述逻辑方法-完全符合语义网络的愿景和技术-扩展了在启用语义的电子市场中需求和供应之间的匹配,该方法允许对基于可协商和严格要求的语义进行处理。需求/供应描述。为此,我们开发了两种新颖的非标准描述逻辑推理服务,即概念收缩(可扩展可满足性)和概念外展(可扩展包含性)。基于这些服务,我们设计了算法,即使在严格要求的元素和可选元素之间也存在区别时,该算法允许查找协商空间并确定可能匹配的质量。算法和基于语义的方法都是新颖的,并且启用了一种机制来增强电子市场中基于逻辑的发现和协商阶段。一组简单的实验证实了该方法的有效性。

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