Schemaless Queries over Document Tables with Dependencies

Understand

Unstructured enterprise data such as reports, manuals and guidelines often contain tables.

• The traditional way of integrating data from these tables is through a two-step process of table detection/extraction and mapping the table layouts to an appropriate schema.
• This can be an expensive process.
• In this paper we show that by using semantic technologies (RDF/SPARQL and database dependencies) paired with a simple but powerful way to transform tables with non-relational layouts, it is possible to offer query answering services over these tables with minimal manual work or domain-specific mappings.