Abstract
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.
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