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首页> 外文会议>International Conference on Conceptual Modeling(ER 2004): Workshops on CoMoGIS, CoMWIM, ECDM, CoMoA, DGOV, and eCOMO; 20041108-12; Shanghai(CN) >Querying Heterogeneous Spatial Databases: Combining an Ontology with Similarity Functions
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Querying Heterogeneous Spatial Databases: Combining an Ontology with Similarity Functions

机译：查询异构空间数据库：将本体与相似函数结合

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摘要

This paper uses a knowledge-based approach to querying heterogeneous spatial databases based on an ontology and conceptual and attribute similarities. The ontology, which may be independent of the databases, expands and filters a user query. Then, queries are translated into a formal specification of entity classes, which are compared against definitions in databases. This process is carried out by determining the conceptual similarity between entities in a user ontology and by comparing these entities in the ontology with entities in the conceptual models of databases. In addition, the specification of a query is done not only by identifying entity classes but also by considering constraints based on attribute values. The paper describes the system architecture and presents a case study with data from a forestry information system.
机译：本文使用一种基于知识的方法来基于本体以及概念和属性的相似性来查询异构空间数据库。可以独立于数据库的本体扩展并过滤用户查询。然后，将查询转换为实体类的形式规范，然后将其与数据库中的定义进行比较。通过确定用户本体中实体之间的概念相似性，并将本体中的这些实体与数据库概念模型中的实体进行比较，来执行此过程。另外，不仅通过识别实体类，而且通过考虑基于属性值的约束来完成查询的指定。本文描述了系统架构，并提供了一个林业信息系统数据的案例研究。

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