Difference between revisions of "DAO"

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'''DAO''' is the acronym for '''D'''rug '''A'''buse '''O'''ntology.
 
'''DAO''' is the acronym for '''D'''rug '''A'''buse '''O'''ntology.
  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 [http://knoesis-hpco.cs.wright.edu/drug-abuse-ontology/ Drug Abuse Ontology] (DAO) - ''pronounced dow''), which is the first ontology for prescription drug abuse.
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  The PREDOSE research team at Knoesis 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 [http://knoesis-hpco.cs.wright.edu/drug-abuse-ontology/ Drug Abuse Ontology] (DAO) - ''pronounced dow''), which is the first ontology for prescription drug abuse.

Revision as of 22:16, 24 July 2017

DAO is the acronym for Drug Abuse Ontology.

The PREDOSE research team at Knoesis 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.