Updated READMEs

# hch-kg

This repo contains the resources (data and scripts) for the workshop entitled "Providing new views on textual data with knowledge graphs" held at the [2nd Heidelberg Summer School of Computing Humanities](https://hch19.cl.uni-heidelberg.de) on July 19th, 2019 by Juri Opitz and Leo Born.

## Repo structure

* _data/_ contains the untagged -- but annotated -- files of the [Old Bailey Corpus](http://fedora.clarin-d.uni-saarland.de/oldbailey/index.html)

* _output/_ is used as the default output directory for created knowledge graphs

	* _output/gold/_ contains some sample knowledge graphs for the years 1720, 1820, and 1913

* _src/_ contains all scripts

* _visualization/_ contains the visualization suite (see separate README)

## Requirements

Python >3.0 is recommended. This repo was tested on Ubuntu and macOS (10.14).

### Dependencies

Install with pip:

- attrs==19.1.0

- beautifulsoup4==4.7.1

- blis==0.2.4

- chardet==3.0.4

- cycler==0.10.0

- cymem==2.0.2

- decorator==4.4.0

- en-core-web-sm==2.1.0

- idna==2.8

- joblib==0.13.2

- jsonschema==3.0.1

- kiwisolver==1.1.0

- lxml==4.3.4

- matplotlib==3.1.1

- murmurhash==1.0.2

- networkx==2.3

- numpy==1.16.4

- pandas==0.24.2

- plac==0.9.6

- preshed==2.0.1

- pyparsing==2.4.0

- pyrsistent==0.15.3

- python-dateutil==2.8.0

- pytz==2019.1

- requests==2.22.0

- scikit-learn==0.21.2

- scipy==1.3.0

- seaborn==0.9.0

- six==1.12.0

- sklearn==0.0

- soupsieve==1.9.2

- spacy==2.1.4

- srsly==0.0.7

- thinc==7.0.8

- tqdm==4.32.2

- urllib3==1.25.3

- wasabi==0.2.2

**NOTE**: _spacy_ must not be version 2.1.5!

##

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# How to run the visualization suite

# hch-kg: visualization suite

## Pre-requisites

This directory contains the visualization suite for the workshop ""Providing new views on textual data with knowledge graphs". It is written in JavaScript and based on [Angular JS v1](https://angularjs.org). The main visualization component is based on [visjs](https://visjs.org).

## Requirements

1. Active internet connection as some of the dependencies are loaded via CDNs

2. If you use _Firefox_, just open the file index.html in it

3. If you use a different browser, you need to set up a simple web server; with python for example, you just need to run "python -m SimpleHTTPServer" (python v2) or "python -m http.server" (python v3) in this directory

3. If you use a different browser, you need to set up a simple web server; with Python 3, you just need to run "python -m http.server" in this directory

  *  Per default, this should serve the app on port 8000 of localhost (access via 0.0.0.0:8000 or localhost:8000 in your browser)

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