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02_​Document_​Queries

Index and query text documents

This workflow demonstrates how advanced queries can be made in a large document collection.
First an index is created on the document collection. Once the index has been created it can be queried using a powerful query language.
The query syntax bases on the Lucene query syntax and supports among others phrase queries, wildcard queries, fuzzy queries, proximity queries, range queries, term boosting, grouping, and boolean operators.

This workflow demonstrates advanced queries in a large document collection.For more information see the workflow metadata. Find it here: View -> Description create indexfor documentsaspirin in titleand headache somewhere in the textauthors that match Ch?n such as Chan or Chendocuments published in theJournal of immunologydocuments published in the first half of 20121k PubMedabstracts withaspirin Table Indexer Index Query Index Query Index Query Index Query Table Reader This workflow demonstrates advanced queries in a large document collection.For more information see the workflow metadata. Find it here: View -> Description create indexfor documentsaspirin in titleand headache somewhere in the textauthors that match Ch?n such as Chan or Chendocuments published in theJournal of immunologydocuments published in the first half of 20121k PubMedabstracts withaspirinTable Indexer Index Query Index Query Index Query Index Query Table Reader

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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On NodePit since: 2025-02-18
Last update: 2026-07-19
Created with KNIME version: v4.1.1
Tags: ETLdocument queryquery

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