Context-awareness is highly desired across several application domains. Semantic Web Services (SWS) enable the automatic discovery of distributed Web services based on comprehensive semantic representations. However, although SWS technology supports the automatic allocation of resources for a given well-defined task, it does not entail the discovery of appropriate SWS representations for a given situational context. Whereas tasks are highly dependent on the situational context in which they occur, SWS technology does not explicitly encourage the representation of domain situations. Moreover, describing the complex notion of a specific situation in all its facets is a costly task and may never reach semantic completeness. Particularly, following the symbolic SWS approach leads to ambiguity issues and does not entail semantic meaningfulness. Apart from that, not any real-world situation completely equals another, but has to be matched to a finite set of semantically defined parameter descriptions to enable context-adaptability. To overcome these issues, we propose Conceptual Situation Spaces (CSS) which are aligned to established SWS standards. CSS enable the description of situation characteristics as members in geometrical vector spaces following the idea of Conceptual Spaces. Semantic similarity between situations is calculated in terms of their Euclidean distance within a CSS. Extending merely symbolic SWS descriptions with context information on a conceptual level through CSS enables similarity-based matchmaking between real-world situation characteristics and predefined resource representations as part of SWS descriptions. To prove the feasibility, we apply our approach to the domain of E-Learning and provide a proof-of-concept prototype.
机译:使用NLP技术的基于语义相似性的上下文感知Web服务发现
机译:使用基于过程模型的服务的Web本体语言,基于过程模型的原子服务发现和组合语义Web服务的组合
机译:利用语义Web服务在发展上下文感知系统中
机译:通过概念性情境空间实现上下文感知语义Web服务发现
机译:DAGIS:自动发现用于地理空间语义Web的带注释的地理空间信息服务框架。
机译:语义自动发现和集成(SADI)Web服务设计模式API和参考实现
机译:通过概念情境空间实现上下文感知语义Web服务发现
机译:用于移动上下文感知服务的语义Web技术