Commit 5f5b388c authored by MANOLESCU Ioana's avatar MANOLESCU Ioana
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Update README.md

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ConnectionLens is a tool for finding connections between user-specified search terms across heterogeneous data sources. ConnectionLens treats a set of heterogeneous, independently authored data sources as a single virtual graph, whereas nodes represent fine-granularity data items (relational tuples, attributes, key-value pairs, RDF, JSON or XML nodes…) and edges correspond either to structural connections (e.g., a tuple is in a database, an attribute is in a tuple, a JSON node has a parent…) or to similarity (sameAs) links. To further enrich the content journalists work with, we also apply entity extraction which enables us to detect the people, organizations, etc. mentioned in the text, whether full-text or text snippets found e.g. in RDF or XML.
ConnectionLens is available as a web application or as a command line application. We provide two installations options: a beginner-friendly installation that will give access only to the web application and an advanced installation in which both command line and web application are installed.
ConnectionLens is available as a web application or as a command line application. We provide **two installations options**:
* a beginner-friendly installation trough a virtual image (Docker) that will give access only to the web application;
* a full installation in which both command line and web application are installed.
# Installation using Docker
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We note that Connectionlens has a property file in `core/settings/properties`. This file can be used to specify the language in which documents are written, via the parameter default_locale.
If you want to change the default language, French, and use English instead modify and save the file. To use the web application with the new language you need to restart it: ```docker-compose down && docker-compose up```.
# Advanced installation
# Full installation
## Software prerequisites
Required:
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