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Determining Semantic Similarity of Behaviour Using Natural Semantic Metalanguage to Match User Objectives to Available Web Services

机译:使用自然语义元语言将用户目标与可用的Web服务进行匹配来确定行为的语义相似性

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摘要

Natural Semantic Metalanguage specifies a set of semantic primitives identified by linguists since the 1970s as being present in all analysed languages and not capable of further reduction. In this article, the 63 semantic primitives are used to define the semantics of user objectives and web services in the form of semantic explications, which are then compared to determine whether the web services are likely to be helpful in meeting the user objective. The comparison of the user objectives and web services is a two stage process. Firstly, the content is compared by classifying the semantic primitives from the candidate web service and user objective on the basis of whether the primitives are common or similar. On the basis of these classifications, the percentage match and semantic relationship (subset, superset, overlaps, disjoint, identical) are determined. Secondly, the order of the semantic primitives is compared and the edit distance determined as a measure of semantic similarity. The method is tested using two examples: a comparison of spatial relations and a comparison of a user objective and three geospatial web services. The results show that the method is able to determine which concepts are broadly semantically similar and which are not.
机译:自然语义元语言指定了一组语言原语,这些语言原语自1970年代以来就被语言学家识别为存在于所有分析语言中,并且无法进一步简化。在本文中,使用63个语义原语以语义说明的形式定义了用户目标和Web服务的语义,然后将它们进行比较以确定Web服务是否可能有助于满足用户目标。用户目标和Web服务的比较是两个阶段的过程。首先,通过根据候选Web服务和用户目标的语义基元是公共的还是相似的来对语义基元进行分类,来比较内容。根据这些分类,确定百分比匹配和语义关系(子集,超集,重叠,不交集,相同)。其次,比较语义基元的顺序,并确定编辑距离作为语义相似性的度量。使用两个示例测试了该方法:空间关系的比较以及用户目标和三个地理空间Web服务的比较。结果表明,该方法能够确定哪些概念在语义上大致相似,哪些概念在语义上相似。

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