Distributed Resolution for Expressive Ontology Networks
Distributed Resolution for Expressive Ontology Networks
复制标题
表达本体网络的分布式解析
DOI：
10.1007/978-3-642-05082-4_7
复制
发表时间：
2009
期刊：
影响因子：
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通讯作者：
Heiner Stuckenschmidt
中科院分区：
文献类型：
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作者：
Anne Schlicht;Heiner Stuckenschmidt
语义网通常被认为是部分互连的机器可读数据的网络。这些数据本质上是分布式的，并且在不同物理位置的不同方提供的资源方面类似于网络结构。许多用于存储和查询分布式语义网络数据（主要用 RDF 编码）的基础设施已经开发出来，但几乎所有关于描述逻辑推理的工作作为在网络本体语言 OWL 中实现推理的基础仍然采用集中式方法，其中完整的术语必须出现在单个系统上，并且所有推理步骤都在该系统上执行。我们提出了一种分布式推理方法，可以在 原始的 OWL 导入语义。该方法基于本体的解析方法，我们修改这些方法以在分布式环境中工作。结果显示，与集中推理相比，运行时间明显减少，并表明并行计算的好处抵消了本地推理器之间通信造成的开销。
The Semantic Web is commonly perceived as a web of partially interlinked machine readable data. This data is inherently distributed and resembles the structure of the web in terms of resources being provided by different parties at different physical locations. A number of infrastructures for storing and querying distributed semantic web data, primarily encoded in RDF have been developed but almost all the work on description logic reasoning as a basis for implementing inference in the Web Ontology Language OWL still assumes a centralized approach where the complete terminology has to be present on a single system and all inference steps are carried out on this system.We propose a distributed reasoning method that preserves soundness and completeness of reasoning under the original OWL import semantics. The method is based on resolution methods forontologies that we modify to work in a distributed setting. Results show a promising runtime decrease compared to centralized reasoning and indicate that benefits from parallel computation trade off the overhead caused by communication between the local reasoners.