A stream-temporal query language for ontology based data access

被引：33

作者：

Özçep, Özgür Lütfü ^{[1
]}

Möller, Ralf ^{[1
]}

Neuenstadt, Christian ^{[1
]}

机构：

[1] Institute for Softwaresystems (STS), Hamburg University of Technology, Hamburg

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2014年 / 8736卷

关键词：

Monitoring; OBDA; Safety; Streams; Unfolding;

D O I：

10.1007/978-3-319-11206-0_18

中图分类号：

学科分类号：

摘要：

The paper contributes to the recent efforts on temporalizing and streamifiying ontology based data access (OBDA) by discussing aspects of rewritability, i.e., compilability of the TBox into ontology-level queries, and unfoldability, i.e., transformability of ontology-level queries to queries on datasource level, for the new query-language framework STARQL. The distinguishing feature of STARQL is its general stream windowing and ABox sequencing strategy which allows it to plugin well-known query languages such as unions of conjunctive queries (UCQs) in combination with TBox languages such as DL-Lite and do temporal reasoning with a sorted first-order logic on top of them. The paper discusses safety aspects under which STARQL queries that embed UCQs over DL-Lite ontologies can be rewritten and unfolded to back-end relational stream query languages such as CQL. With these results, the adoption of description logic technology in industrially relevant application areas such as industrial monitoring is crucially fostered. © Springer International Publishing Switzerland 2014.

引用

页码：183 / 194

页数：11

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