Difference between revisions of "DAO"

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(Hierarchical structure of DAO)
(Hierarchical structure of DAO)
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==== Hierarchical structure of DAO ====
 
==== Hierarchical structure of DAO ====
  
[[Image:DrugH1.JPG | center | 400px | thumb | Fig2: Drug Hierarchical structure]]
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[[Image:DrugH.jpg | center | 400px | thumb | Fig2: Drug Hierarchical structure]]

Revision as of 01:12, 25 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.

Automatic Qualitative Coding

This is the most challenging aspect of PREDOSE. The aim is to use various information extraction techniques to extraction semantic information considered semantically equivalent to qualitative codes, from web forums. Drug Abuse Ontology (DAO) manually created to model the prescription drug abuse domain, which is the first ontology on drug abuse in the literature. The current DAO is available online. The DAO is used to facilitate search, and it also serves as the annotation scheme for the entity, relationship and triple extraction.
Fig1: DAO schema in the PREDOSE Research Plan.

Fig1: PREDOSE Research Plan

OntoGrapg of DAO

Fig2: DAO First Version OntoGrapg

Hierarchical structure of DAO

File:DrugH.jpg
Fig2: Drug Hierarchical structure