DAO

DAO is the acronym for Drug Abuse Ontology.

The PREDOSE research team has developed preliminary techniques that automatically extract semantic information from Web-based data. Such includes entities, generic sentiment expressions, relationships and triples. To perform entity identification, the research team relies on a combination of lexical and semantics-based techniques, based on a manually curated Drug Abuse Ontology (DAO) - pronounced dow), which is the first ontology for prescription drug abuse. To extract relationships the PREDOSE team has implemented a lexical and semantics-based technique applies a semantic similarity measure between relationship candidates, WordNet Synsets and predicates from the UMLS. For triple extraction the team has implemented a top-down pattern-based approach using DAO patterns, and the SystemT framework to extract triple patterns from text.