Abstract
Resource Description Framework (RDF), as a standard metadata description framework proposed by the World Wide Web Consortium (W3C), is suitable for modeling and querying Web data. With the growing importance of RDF data in Web data management, there is an increasing need for modeling and querying RDF data. Previous approaches mainly focus on querying RDF. However, a large amount of RDF data have spatial and temporal features. Therefore, it is important to study spatiotemporal RDF data query approaches. In this paper, firstly, we formally define spatiotemporal RDF data, and construct a spatiotemporal RDF model st-RDF that is used to represent and manipulate spatiotemporal RDF data. Secondly, we present a spatiotemporal RDF query algorithm stQuery based on subgraph matching. This algorithm can quickly determine whether the query result is empty for queries whose temporal or spatial range exceeds a specific range by adopting a preliminary query filtering mechanism in the query process. Thirdly, we propose a sorting strategy that calculates the matching order of query nodes to speed up the subgraph matching. Finally, we conduct experiments in terms of effect and query efficiency. The experimental results show the performance advantages of our approach.
Highlights
Resource Description Framework (RDF), as a standard metadata description framework proposed by the World Wide Web Consortium (W3C) [1], can be used in various fields such as intelligent software agents, privacy preferences, and privacy policies
We propose a spatiotemporal RDF query algorithm stQuery based on subgraph matching
Twelve test samples are of similar size in order to ensure the uniqueness of variables, which contain seven query nodes
Summary
Resource Description Framework (RDF), as a standard metadata description framework proposed by the World Wide Web Consortium (W3C) [1], can be used in various fields such as intelligent software agents, privacy preferences, and privacy policies. Based on the advantages of RDF in data and knowledge representation, many researchers have proposed to use RDF in the management of temporal data in recent years. In the representation of temporal data, some researchers have tried to introduce the time dimension into standard RDF or add time stamp information after the predicate or the entire triplet [2], to achieve RDF-based temporal data modeling. Gutierrez et al [3,4] propose a framework that incorporates temporal reasoning into RDF to generate temporal RDF graphs, and at the same time provides a semantic for these graphs, including a grammar that uses. RDF vocabulary and time labels to integrate the grammatical framework into standard. Motik [6] raises a logic-based method to represent the effective time in RDF and OWL and devises a query evaluation algorithm
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