A relational indexing strategy aims to retrieve symbol locations into the target documents by using a combined numerical-relational description of 2D structures.
Existing relational database indexing and searching techniques can be used.
Relational database indexing strategies, which assume a single key, can thus properly order non-nested intervals.
We addressed this by storing the metadata in a relational database, indexing it with the Apache Solr Web query engine and presenting it in XML format via a consistent set of Web service interfaces (WSIs).
Indexing Relational Database Content Offline for Efficient Keyword-Based SEfficient Keyword-Based
Object relational databases cross- index their contents in a hierarchy of categories, including those peculiar to multimedia.
Second, our findings demonstrate that hierarchy recall accuracy, but not awareness scores, was a significant predictor of inferential performance across the entire group of participants—suggesting that this measure may be the more sensitive index of relational hierarchy knowledge.
Third, our findings suggest that a detailed measurement of hierarchy recall accuracy may be a more sensitive index of relational hierarchy knowledge, than conventional awareness score and should be used in future studies investigating links between awareness and inferential performance.
Finally, we show that hierarchy recall accuracy, but not awareness scores, was a significant predictor of inferential performance across the entire group of participants—suggesting that this measure may be a more sensitive index of relational hierarchy knowledge.
For relational database, we tried several indexing methods including standard B-tree index and spatial index, and report here the shortest time among these approaches.
Like indexes in relational databases, Data Reflections provide additional resources for Dremio's cost-based query optimizer to execute a query.
