ODIE - Ontology Enrichment & Information Extraction is a software toolkit to code document sets with ontologies or to enrich existing ontologies with new concepts from the document set. It will contain algorithms for Named Entity Recognition Co-reference resolution concept discovery discourse reasoning and attribute value extraction. ODIE project aims to develop a toolkit that will provide the following functionality: * Build text processing pipelines that use ontologies to annotate documents. * Enrich ontologies with new concepts that are automatically discovered in documents. * Populate an information model automatically from information extracted from documents.ODIE is open source software released under the LGPL v3.0 License. ODIE is written in Java uses the Eclipse RCP Framework for the UI. The source code is organized into Eclipse projects.
Ontology Development and Information Extraction
Stanford University; California; USA