open-semantic-search and open-semantic-search-apps

open-semantic-search
51
Established
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 21/25
Stars: 1,154
Forks: 196
Downloads:
Commits (30d): 0
Language: Shell
License: GPL-3.0
Stars: 99
Forks: 38
Downloads:
Commits (30d): 0
Language: CSS
License: GPL-3.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About open-semantic-search

opensemanticsearch/open-semantic-search

Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

This tool helps you quickly make sense of large collections of documents by transforming them into a searchable knowledge base. It takes various document types, including images and PDFs, extracts key information like names, organizations, and locations, and lets you search, browse, and analyze the content. This is ideal for researchers, analysts, or anyone who needs to explore vast amounts of unstructured text data efficiently.

document-analysis research-intelligence information-retrieval knowledge-management text-mining

About open-semantic-search-apps

opensemanticsearch/open-semantic-search-apps

Python/Django based webapps and web user interfaces for search, structure (meta data management like thesaurus, ontologies, annotations and named entities) and data import (ETL like text extraction, OCR and crawling filesystems or websites)

This project offers web applications that help you manage and search through vast amounts of information. You can input various data like documents, web pages, or files, and it will organize them, extract metadata, and make them easily searchable. It's designed for anyone who needs to quickly find and understand data within large collections, such as researchers, archivists, or information managers.

information-management enterprise-search knowledge-organization metadata-management digital-archiving

Scores updated daily from GitHub, PyPI, and npm data. How scores work