Querying industrial stream-temporal data: An ontology-based visual approach1
نویسندگان
چکیده
منابع مشابه
Querying industrial stream-temporal data: An ontology-based visual approach
An increasing number of sensors are being deployed in business-critical environments, systems, and equipment; and stream a vast amount of data. The operational efficiency and effectiveness of business processes rely on domain experts’ agility in interpreting data into actionable business information. A domain expert has extensive domain knowledge but not necessarily skills and knowledge on data...
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Visual methods for query formulation undertake the challenge of making querying independent of users’ technical skills and the knowledge of the underlying textual query language and the structure of data. In this paper, we demonstrate an ontology-based visual query system, namely OptiqueVQS, which we have been developing for end users within a large industrial project.
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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 i...
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Recent years have seen theoretical and practical efforts on temporalizing and streamifying ontology-based data access (OBDA). This paper contributes to the practical efforts with a description/evaluation of a prototype implementation for the stream-temporal query language framework STARQL. STARQL serves the needs for industrially motivated scenarios, providing the same interface for querying hi...
متن کاملTOQL: Temporal Ontology Querying Language
We introduce TOQL, a query language for querying time information in ontologies. TOQL is a high level query language that handles ontologies almost like relational databases. Queries are issued as SQL-like statements involving time (i.e., time points or intervals) or high-level ontology concepts that vary in time. Although independent from TOQL, this work suggests a mechanism for representing t...
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ژورنال
عنوان ژورنال: Journal of Ambient Intelligence and Smart Environments
سال: 2017
ISSN: 1876-1372,1876-1364
DOI: 10.3233/ais-160415