Welcome to the PGschema Home page.

PGschema was developed jointly by Carol Friedman and Yves Lussier.

PGschema is an information model representing genotypic and phenotypic entities, modifiers, and relations, such as those expressed in text. PGschema bridges the gap between textual information and ontology-anchored databases because it allows for translation of information in textual narratives to a well-defined data structure comprising knowledge of genotypic and phenotypic concepts from established ontologies along with modifiers and relationships. This model provides links to formal knowledge and allows for reasoning within traditional ontologies, while it also provides for fine-grained representation of information in natural language. This feature is necessary for enabling expressiveness, such as that found in natural language, and also for enabling subsequent fine-grained retrieval of structured information that was extracted from text.

PGschema is in the form of XML and has been specified using a Document Type Definition pgschema ( download or view). It also includes comments and examples taken from text. The guidelines for the evaluation can also be viewed evaluation guidelines .