Integrate, analyse, enrich Sample Clauses

Integrate, analyse, enrich. One of the data management tasks is to combine a variety of datasets and find out new insights. Data integration needs both domain knowledge and technical knowhow. This is achieved by using a Linked Data approach enriched with a shared ontology. The life cycle of Linked Data ETL process starts from the extraction of RDF triples from heterogenic datasets, and storing the extracted RDF data into a storage, that is available for SPARQL querying. The RDF storage can be manually updated. Then, the interlinking and data fusion is carried out, which use ontologies in several public Linked Data sources and creates the Web of Data. In contrast to a relational data warehouse, the Web of Data is a distributed knowledge graph. Based on Linked Data technologies, new RDF triples can be derived, and new enrichment is possible. Evaluation is necessary to control the quality of new knowledge, which further results in searching more data sources, and performing data extraction.