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The first step in configuring the Structured File Lens is to create a mapping file. The mapping file is what creates the links between your source data and your target model (ontology). This can be created using our online Data Lens Mapping Tool utilising an intuitive web-based UI. Log in hereto get started, and select the option for Structured File Lens. The Structured File Lens is capable of ingesting XML, CSV, and JSON files, creation of mapping files differ slightly between file types so ensure to select the correct options for your use case. Alternatively, the Mapping Tool can be deployed to your own infrastructure, this enables additional functionality such as the ability to update mapping files on a running Lens. To do this, follow these instructions.
However, if you wish you create your RML mapping files manually, there is a detailed step by step guide on creating one from scratch.
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An Amazon Web Services Elastic Container Service (ECS) cluster, hosting a single EC2 instance. Running the following containers:
Apache Kafka
Data Lens: Structured File Lens
An S3 bucket
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For more information on how the provenance is laid out, as well as how to query it from your Triple Store, see the Provenance Guide.
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REST API Endpoints
In addition to the Process Endpoint designed for ingesting data into the Lens, there is a selection of built-in exposed endpoints for you to call.
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