Research Information System
46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, 23 - 27 July 2023, pp.1981-1985, (Full Text)
Semantic place retrieval aims to find the top-k place entities, which are both textually relevant and spatially close to a given query, from a knowledge graph. In this work, our contribution toward improving the efficiency of semantic place retrieval is two-fold. First, we show that by applying an ad hoc yet intuitive restriction on the depth of search on the knowledge graph, it is possible to adopt IR-tree indexing scheme [7], which has been introduced for processing spatial keyword queries, for the semantic place retrieval scenario. Secondly, as a novel solution to this problem, we adapt the idea of cluster-skipping inverted index (CS-IIS) [1, 4], which has been originally proposed for retrieval over topically clustered document collections. Our experiments show that CS-IIS is comparable to IR-tree in terms of CPU time, while it yields substantial efficiency gains in terms of I/O time during query processing.