NDLI: Improving the Data Quality of Drug Databases using Conditional Dependencies and Ontologies

Please wait, while we are loading the content...

Improving the Data Quality of Drug Databases using Conditional Dependencies and Ontologies

Content Provider	ACM Digital Library
Author	Cur, Olivier
Copyright Year	2012
Abstract	Many health care systems and services exploit drug related information stored in databases. The poor data quality of these databases, e.g. inaccuracy of drug contraindications, can lead to catastrophic consequences for the health condition of patients. Hence it is important to ensure their quality in terms of data completeness and soundness. In the database domain, standard Functional Dependencies (FDs) and INclusion Dependencies (INDs), have been proposed to prevent the insertion of incorrect data. But they are generally not expressive enough to represent a domain-specific set of constraints. To this end, conditional dependencies, i.e. standard dependencies extended with tableau patterns containing constant values, have been introduced and several methods have been proposed for their discovery and representation. The quality of drug databases can be considerably improved by their usage. Moreover, pharmacology information is inherently hierarchical and many standards propose graph structures to represent them, e.g. the Anatomical Therapeutic Chemical classification (ATC) or OpenGalen’s terminology. In this article, we emphasize that the technologies of the Semantic Web are adapted to represent these hierarchical structures, i.e. in RDFS and OWL. We also present a solution for representing conditional dependencies using a query language defined for these graph oriented structures, namely SPARQL. The benefits of this approach are interoperability with applications and ontologies of the Semantic Web as well as a reasoning-based query execution solution to clean underlying databases.
Starting Page	1
Ending Page	21
Page Count	21
File Format	PDF
ISSN	19361955
e-ISSN	19361963
DOI	10.1145/2378016.2378019
Journal	Journal of Data and Information Quality (JDIQ)
Volume Number	4
Issue Number	1
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-10-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Data quality Conditional dependencies Description logics
Content Type	Text
Resource Type	Article
Subject	Information Systems and Management Information Systems

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Discover Dependencies from Data—A Review

Extending Conditional Dependencies with Built-in Predicates

SeDeLo: Using Semantics and Description Logics to Support Aided Clinical Diagnosis

Testing implications of data dependencies

Dual Assessment of Data Quality in Customer Databases

Ontology-Based Data Quality Management for Data Streams

Query processing over incomplete autonomous databases: query rewriting using learned data dependencies

Description logics in data management

Conditional functional dependencies for capturing data inconsistencies

Improving the Data Quality of Drug Databases using Conditional Dependencies and Ontologies

Similar Documents

Discover Dependencies from Data—A Review

Extending Conditional Dependencies with Built-in Predicates

SeDeLo: Using Semantics and Description Logics to Support Aided Clinical Diagnosis

Testing implications of data dependencies

Dual Assessment of Data Quality in Customer Databases

Ontology-Based Data Quality Management for Data Streams

Query processing over incomplete autonomous databases: query rewriting using learned data dependencies

Description logics in data management

Conditional functional dependencies for capturing data inconsistencies

Improving the Data Quality of Drug Databases using Conditional Dependencies and Ontologies