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Module providing the webservice interface based on the Jetty embedded webserver and the FreeMarker template engine. Defines a simple format for providing textual annotations and produced output in HTML or JSON. This module has no dependencies to the other SCIE modules (except for the PDF text extractor) or the UIMA framework and thus can be used in any context, where text is annotated by an algorithm and should be presented to an end user.

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SCIE – Welcome

Spinal Cord Injury Information Extraction

SCIE is an ontology-based information extraction system that automatically extracts relevant preclinical knowledge about spinal cord injury treatments from natural language text.

This web service annotates individual papers that describe preclinical research (in PDF or plain text format), either via direct upload or automatically by using our API.

SCIE is free software licensed under the AGPL v3.0. You can learn more and download the current version at http://opensource.cit-ec.de/projects/scie.

Getting Started

Click on the "upload a document" button to continue to the document upload page.

Bibliography

If you use this work scientifically, please cite
  1. Benjamin Paassen, Andreas Stöckel, Raphael Dickfelder, Jan Philip Göpfert, Nicole Brazda, Tarek Kirchhoffer, Hans Werner Müller, Roman Klinger, Matthias Hartung and Philipp Cimiano

    Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments

    In Semantic Web and Information Extraction Workshop (SWAIE). The 25th International Conference on Computational Linguistics (COLING), Dublin. Ireland. August 2014

Associated Institutes

Bielefeld University CIT-EC: Cognitive Interaction Technology - Excelence Cluster CNR: Center for Neuronal Regeneration

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