18 results with keyword: 'ontology based data access to big data'
In this paper, we discuss and evaluate an OBDA system that uses STARQL (Streaming and Temporal ontology Access with a Reasoning-based Query Language), as a high- level query language
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We report on our experience in ontology-based data access to the Slegge database at Statoil and share the resources employed in this use case: end- user information needs (in
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We report on our experience in ontology-based data access to the Slegge database at Statoil and share the resources employed in this use case: end- user information needs (in
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We report on our experience in ontology-based data access to the Slegge database at Statoil and share the resources employed in this use case: end- user information needs (in
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Conjunctive query answering for EL ontologies is PT IME - complete for data complexity, and so the rewriting approach is not applicable in this case. In [Lutz
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In spite of this expressive power, all CQs are FO-rewritable with respect to OBDA specifications with OWL 2 QL ontologies and R2RML mappings [Poggi et al., 2008]: indeed, any
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Although we have shown initial results querying the underlying snee engine with basic queries, we expect to consider in the near future more complex query expressions
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In the tractable OBDA framework previously described, one can think of a simple technique for query answering, which first retrieves an ini- tial set of concept and role instances
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To summarize, our ontology learning approach from Big Data is based on wrapping each data source in Data Lake, which will be transformed next into local ontology.. After wrapping
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3.2.3:Ontop SPARQL : It is the query editor which allow us to write SPARQL queries based on the created mappings in the Mapping manager and retrieve the required answer from
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In particular, we have developed a deployment module to create ontologies and mappings from relational databases in a semi-automatic fashion; a query processing module to perform
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We investigate (i) the complexity of deciding whether an ontology annotated with provenance information entails a conjunctive query associated with a prove- nance polynomial, and
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In Section 3, we evaluate the performance of Ontop and compare it with other systems using a number of standard ontologies, including LUBM with generated data and the Movie
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RMSAS: Real-time Maritime Situation Awareness System Data Integration Near-time information delivery to the end- users Data Harmonizati on Semantic Analysis Knowledge
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Normal data like small in size will be processed easily for decision making but big data with larger datasets requires parallel processing.. So Big data is
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Named as Easy Geographical Ontological access (easeGO), it is concerned with two main issues: (i) an interface which allows working both with the peer ontology and a
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We define a general framework for data consistency in OBDA, and present algorithms and complexity analysis for several relevant tasks related to the problem of checking data
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This paper proposes an access control technique for big data files based on XACML framework to guarantee the data security, privacy and performance bystripping the
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