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A spreading activation algorithm of spatial big data retrieval based on the spatial ontology model

机译:基于空间本体模型的空间大数据检索扩展激活算法

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With the rapid growth of spatial data, traditional cause-effect analysis and conditional retrieval fall short in the era of big data. Associative retrieval is more reasonable and feasible. To promote the associative retrieval of spatial big data, this paper investigates the combination of the spreading activation (SA) algorithm and spatial ontology model. Different types of semantic links are considered to improve the relevance of the activation-spread process and ensure the accuracy of the search results. We propose an incremental SA algorithm to search different types of information nodes gradually in the spatial ontology knowledge space. Some examples and a prototype are discussed in the paper. We trust that this work will contribute to the improvement of the SA algorithm in associative retrieval of spatial big data.
机译:随着空间数据的快速增长,在大数据时代,传统的因果分析和条件检索已不足。关联检索更加合理可行。为了促进空间大数据的关联检索,本文研究了扩展激活(SA)算法和空间本体模型的结合。考虑使用不同类型的语义链接来提高激活扩散过程的相关性并确保搜索结果的准确性。我们提出一种增量式SA算法,以在空间本体知识空间中逐步搜索不同类型的信息节点。本文讨论了一些示例和原型。我们相信这项工作将有助于空间大数据的关联检索中SA算法的改进。

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