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SPARQL Query Answering over OWL Ontologies Lilianna Ollie, Birth Grimm, and Ian Horrors Oxford University Computing Laboratory, UK Abstract. The SPARQL query language is currently being extended by
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To fill out a SPARQL query answering over, follow these steps:

01
Start by understanding the purpose of the SPARQL query. What information are you trying to retrieve from the dataset?
02
Identify the dataset that the query will be executed on. This can be a local RDF file, a remote RDF store, or a SPARQL endpoint.
03
Begin constructing the SPARQL query itself. Use the SELECT statement to specify the variables you want to retrieve in the results.
04
Consider including other query elements such as WHERE clauses, FILTER conditions, and ORDER BY statements to refine the results.
05
Make sure that the syntax of the SPARQL query is correct and adheres to the SPARQL specification.
06
Test the query on a small subset of the dataset to verify its correctness and to make any necessary adjustments.
07
Once the query is ready, execute it on the selected dataset and analyze the results obtained.
08
Iterate and refine the query as needed to get the desired information from the dataset.

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Researchers and scientists working with large and diverse datasets who need to extract specific information for analysis or knowledge discovery.
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Data analysts and data scientists who require structured data to perform complex queries, aggregations, and transformations.
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Developers and software engineers building semantic web applications or integrating data from multiple sources. SPARQL query answering over enables them to efficiently retrieve and process the data they need.
Using SPARQL query answering over empowers individuals and organizations to leverage the power of Semantic Web technologies and effectively work with RDF data.
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Relevant keywords

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