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| 概要 |
Major problems of PDBS (Pictorial DataBase System) lie not only in its storage structure but also in its retrieving mechanism to search out a required picture easily. Most of PDBS's which have been de...veloped are based on the frameworks of DBMS (DataBase Management System) which deals with symbolical data. However, such frameworks cannot be applied to some kinds of associative retrieval, for example, retrieval of similar pictures to the input one. In this paper, we present the retrieval of weather charts based on the semantic similarity of the pictures. We define the similarity between two weather charts as probability that they are similar. On the basis of the semantic structure, the similarity can be inferred from lower-leveled similarities of constituents of weather charts. In order to calculate the above probability inference, we adopt Dempster & Shafer's model of probability. This paper fully shows the methodology of semantic similarity retrieval of weather charts.続きを見る
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