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URL: https://bmir-gforge.stanford.edu/gf/project/odie
Proper Citation: Ontology Development and Information Extraction (RRID:SCR_003405)
Description: THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 5, 2023. A software toolkit to code document sets with ontologies or to enrich existing ontologies with new concepts from the document set. It contains algorithms for Named Entity Recognition, Co-reference resolution, concept discovery, discourse reasoning and attribute value extraction. The project aimed 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 and uses the Eclipse RCP Framework for the UI. The source code is organized into Eclipse projects.
Abbreviations: ODIE
Synonyms: ODIE - Ontology Enrichment & Information Extraction
Resource Type: software toolkit, source code, software resource
Keywords: ontology, annotation, named entity recognition, java, ontology enrichment, information extraction, natural language processing
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