This project aims to analyze the functionalities of the Apache Solr platform, an open-source document search engine, for indexing and searching documents. The project involves configuring a prototype of Apache Solr and developing several components, including scripts, a Java program, and a UI Solritas. These components work together to achieve the following tasks:
- Detect changes in a folder containing documents in real time
- Identify non-indexable PDF files
- Make non-indexable PDF files indexable using OCR to extract text content
- Index the PDF files using Apache Solr
- Perform searches on the indexed files through a graphical interface
Prerequisites • Presentation • Screenshots
The project's aim is to configure a prototype of Apache Solr and develop a set of scripts, a Java program, and a UI Solritas to index and search documents. The main parts are:
- Real-time detection of changes in a folder containing documents
- This task is performed by a script that monitors the folder and detects any file creation, modification, deletion, or movement
- Identification of non-indexable PDF files
- This task is performed by a script that identifies PDF files that cannot be indexed because of missing text content
- Making the PDF files indexable for content
- This task is performed by a script that uses Optical Character Recognition (OCR) technology to extract text from PDF files that cannot be indexed
- Indexing the PDF files using Apache Solr
- This task is performed by a Java program that indexes the PDF files on the Apache Solr platform
- Performing searches on the indexed files with a graphical interface
- This task is performed by a UI Solritas that allows users to search the indexed files using a graphical interface
Below are some screenshots (in Italian) of the different components used in the project:
