SciKnowMine Web Application

Welcome to the SciKnowMine Technical Documentation.

The system is intended to provide an intuitive computational interface for the academic literature that supports practical high-level functions (document triage, clustering, information extraction, etc.), provides a development and deployment environment for computer science (CS) systems, libraries and solutions. Our initial deployment is focused on applying standard supervised machine learning techniques to document triage supporting the Mouse Genome Informatics Biocuration team at the Jackson Laboratory.

This website provides evolving, dynamic technical documentation for the SciKnowMine project in the form of different manuals, published as static evolving online blogs. This will evove and develop over time as we develop the system and its capabilities.

1. Installation Manual
2. System Organization
3. Command Line - Set up
4. Command Line - Working with Data
5. Command Line - Reporting Functions
6. Command Line - Deleting Data
7. Command Line - Machine Learning
8. Command Line Tools - Running Experiments
9. Web Application - Running the System
10. Web Application - Extracting text using LAPDF-Text
11. Web Application - Performing the triage task
12. Web Application - The Base Digital Library

If you have any questions, feedback or issues concerning this work, contact us at gully@usc.edu.