About • Requirements • Usage • Installation • Extending •
This library supports the generation of graph-based schemas for heterogeneous data sources.
- Extraction of schamata levaraging on the structure of schemaless data sources
- Standardization of such extracted schemata into RDFS graph data model
We encourage you to read our paper to better understand what NextiaBS is and how can fit your scenarios.
- Java 11
Under construction
The class you use depends on the data source format, however, all of them share the same method bootstrapSchema() or bootstrapSchema(Boolean generateMetadata). Therefore you need to provide the required paramters for the bootstrap class and call the method bootstrapSchema to generate an schema. We currently support JSON and CSV sources. We plan to add more in the future.
To bootstrap a JSON file, we need to import the class:
import edu.upc.essi.dtim.nextiabs.JSONBootstrap;
Then to start the bootstrapping, we create an instance of the class JSONBootstrap as follows:
JSONBootstrap b = new JSONBootstrap(<Here data source name>, <here the data source id >, <path to the data source>);
Using this instance, namely b, we call the method bootstrapSchema(). This method will return a Jena model containing the schema represented as triples. An example using this method is:
Model schema_graph_based = b.bootstrapSchema();
To bootstrap a CSV file, we need to import the class:
import edu.upc.essi.dtim.nextiabs.CSVBootstrap;
Then to start the bootstrapping, we create an instance of the class CSVBootstrap as follows:
CSVBootstrap b = new CSVBootstrap(<Here data source name>, <here the data source id >, <path to the data source>);
Using this instance, namely b, we call the method bootstrapSchema(). This method will return a Jena model containing the schema represented as triples. An example of the used for this method is:
Model schema_graph_based = b.bootstrapSchema();
To extend this library with new supported data sources, you only need to create a class at the package edu.upc.essi.dtim.nextiabs. To create this class use the following nomenclature: <Data source format in uppercase> + Bootstrap. Moreover, this class should extends DataSourceclass and implements IBootstrap<Graph>
To extend this library with new supported data sources, you only need to create a class at the package edu.upc.essi.dtim.nextiabs. To create this class use the following nomenclature: <Data source format in uppercase> + Bootstrap. Moreover, this class should extends DataSourceclass and implements IBootstrap<Graph>interface.
The class DataSouce provides the required attributes and implemented logic to generate resources for the data source elements via the method createIRI(String name).