This is my Honours Project for my BSc Computing Science at the University of Aberdeen

System Requirements

64-bit Linux/Ubuntu machine 15GB RAM

Dependencies

• Python 2.7 or higher 2.x version
• Python 3.5 or higher 3.x version
• OpenKE 1 - no need to download this as it comes as a part of the project files
• KnowledgeStream 2 - no need to download this either as it comes as a part of the project files too. However, you will need to download the original KnowledgeStream test data 3 if you intend to use it.
• Stanford CoreNLP
• MongoDB
• Python packages
  • pip and pip3 or easy_install - for installing new packages
  • pandas
  • numpy
  • sklearn
  • requests
  • bs4
  • pymongo
  • nltk
  • pycorenlp
  • neuralcoref

Running the System

1. Start your mongoDB instance with parameters mongod –nojournal –dbpath /path/to/mongo replacing /path/to/mongo with the path where you have installed mongod

2. Navigate to the folder where you have installed CoreNLP. Start the CoreNLP server with the command

java -mx8g -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -annotators "tok-
enize,ssplit,pos,lemma,parse,sentiment" -port 9000 -timeout 30000

You can replace the number in -mx8g by a lower or higher one depending on the power of the RAM available on your maching. Keep in mind that anything below 4 will require a long time to start the server.

3. Navigate to the main project folder and start the system with python3 main.py