SPARQL

Innovative SME s BTC, Sparqle, Plug-Power, NedStack, Hexion. 

In the accuracy data search system, data are searched by querying RDF metadata attached to accuracy data. The value of the attached metadata and the name of assemblies defined in the RDF relationships visualized as a tree structure are used for metadata search with SPARQL. Search results are displayed as a summary of... 

SPARQL works on the principle of matching query patterns over an RDF data graph. Listing 3.2 shows a basic query that remms aU the suppliers of mo Engl. 

SPARQL queries start with namespace declarations in the PREFIX clause. The SELECT clause identifies the information that should be returned, in this case we specify a variable named supplier. Variables in SPARQL always start with a and can match any node (resource or hteral) in an RDF data graph. The WHERE clause specifies triple patterns that should be matched. A triple pattern is similar to a triple, but any part of it can be replaced by a variable. In the example query (see Listing 3.2), we are interested in all triples of the form ... 

Additional explanations and examples of SPARQL queries can be found in Chap. 14. 

Harris, S., Seaborne, A. SPARQL 1.1 query language. W3C Recommendation 21 Mar 2013. 

Langegger, A., W66, W. XLWrap—Querying and Integrating Arbitrary Spreadsheets with SPARQL. SpringCT, Beilin (2009)... 

SPARQL Inference Notation (SPIN)" is currently submitted to W3C and provides—amongst others—means to link class definitions with SPARQL queries... 

The Alignment API offers EDOAL aUgmnent manipulation and rendering. So, the correspondence presented in Listing 6.1 can be automatically transformed into the SPARQL CONSTRUCT query shown in Listing 6.2, which can be used for transforming data. 

Listing 6.2 SPARQL CON STRUCT query generated from the EDOAL correspondence in Listing 6.1... 

With regard to directionality, EDOAL correspondences are in general not oriented they express a relation between two terms and not a function from one term to another. However, when generating a mapping from a correspondence, this may direct the use of the correspondence, e.g., the SPARQL query above. Moreover, transformations may be oriented. This is specified by the direction attribute indeed. 

Although EDOAL can express such transformations, it cannot process them. These transformations are rendered in other languages that can be processed, such as SPARQL. Transformations often rely on external functions, most of the time identified by XPath URIs. Hence, a renderer using them should be able to interpret such operations as SPIN functions or SPARQL built-in functions, for instance. 

We hereby provide an explanation of how the seven phases of the proposed reference process approach could be implemented with tools and techniques from the Semantic Web community. The framework draws on several standards and technologies, (e.g., SPARQL" for querying, PROV-O to represent provenance information) which can be used for structuring and implementing the approach. 

Harris and Gibbins 2003). Furthermore, a hybrid of the normalized triple store can be used, allowing the values to be stored themselves either in the triple table or in the resources table.Therefore, users can manage the data and use SPARQL queries having a better performance than ontology file stores thanks to the use of the databases using this approach. 

Furthermore, SPARQL queries formulated for the ontology have to be translated into the query language associated with the relational database. An approach applying this architecture is for instance the Apache Jena SDB. It allows the data of the model to be stored in a relational database, like Oracle, PostgreSQL, MySQL, or HSQLDB. A Jena SDB storage can be accessed and managed with the Jena API and can be queried using SPARQL. Sesame also facilitates relational... 

The first EKB software architecture variant (SWA-A) uses a single ontology component that stores and manages both concepts and individuals (see Fig. 8.3) Engineering tools use the component to insert, update, or delete data, e.g., using the Sesame API, on their local tool data models. Mappings, implemented in SPARQL, describe the relation between two concepts, perform transformations on the provided data, and update the instance set of the targeted model. Queries formulated... 

In case an engineering tool wants to request information from the system, it formulates a SPARQL query based on the models described in the ontology (Step 4), hands it over to the RDE2RDB Mapper (Step 5). After transforming the SPARQL query to SQL, the mapper executes it on the relational database, and returns the result to the application. Versioning of instances is performed according to the schema as in SWA-A. 

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