NDLI: Biomedical Ontology Quality Assurance Using a Big Data Approach

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ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 11

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 10

Issue 4(Special Issue on SIGKDD 2014, Special Issue on BIGCHAT and Regular Papers), July 2016

Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014

Product Selection Problem: Improve Market Share by Learning Consumer Behavior

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach

Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search

Guest Editorial: Special Issue on Connected Health at Big Data Era (BigChat): A TKDD Special Issue

Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data

Jointly Modeling Label and Feature Heterogeneity in Medical Informatics

Mining Dual Networks: Models, Algorithms, and Applications

Biomedical Ontology Quality Assurance Using a Big Data Approach

Less is More: Building Selective Anomaly Ensembles

Co-Clustering Structural Temporal Data with Applications to Semiconductor Manufacturing

Inferring Dynamic Diffusion Networks in Online Media

Unsupervised Rare Pattern Mining: A Survey

CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering

Spatial-Proximity Optimization for Rapid Task Group Deployment

Featuring, Detecting, and Visualizing Human Sentiment in Chinese Micro-Blog

Eigen-Optimization on Large Graphs by Edge Manipulation

Issue 3, February 2016

Issue 2, October 2015

Issue 1, July 2015

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 9

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 8

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 7

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 6

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 5

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 4

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 3

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 2

ACM Transactions on Knowledge Discovery from Data (TKDD) : Volume 1

Biomedical Ontology Quality Assurance Using a Big Data Approach

Content Provider	ACM Digital Library
Author	Tao, Shiqiang Cui, Licong Zhang, Guo-Qiang
Copyright Year	2016
Abstract	This article presents recent progresses made in using scalable cloud computing environment, Hadoop and MapReduce, to perform ontology quality assurance (OQA), and points to areas of future opportunity. The standard sequential approach used for implementing OQA methods can take weeks if not months for exhaustive analyses for large biomedical ontological systems. With OQA methods newly implemented using massively parallel algorithms in the MapReduce framework, several orders of magnitude in speed-up can be achieved (e.g., from three months to three hours). Such dramatically reduced time makes it feasible not only to perform exhaustive structural analysis of large ontological hierarchies, but also to systematically track structural changes between versions for evolutional analysis. As an exemplar, progress is reported in using MapReduce to perform evolutional analysis and visualization on the Systemized Nomenclature of Medicine—Clinical Terms (SNOMED CT), a prominent clinical terminology system. Future opportunities in three areas are described: one is to extend the scope of MapReduce-based approach to existing OQA methods, especially for automated exhaustive structural analysis. The second is to apply our proposed MapReduce Pipeline for Lattice-based Evaluation (MaPLE) approach, demonstrated as an exemplar method for SNOMED CT, to other biomedical ontologies. The third area is to develop interfaces for reviewing results obtained by OQA methods and for visualizing ontological alignment and evolution, which can also take advantage of cloud computing technology to systematically pre-compute computationally intensive jobs in order to increase performance during user interactions with the visualization interface. Advances in these directions are expected to better support the ontological engineering lifecycle.
Starting Page	1
Ending Page	28
Page Count	28
File Format	PDF
ISSN	15564681
e-ISSN	1556472X
DOI	10.1145/2768830
Volume Number	10
Issue Number	4
Journal	ACM Transactions on Knowledge Discovery from Data (TKDD)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-05-24
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Hadoop SNOMED CT Lattice Terminology quality assurance
Content Type	Text
Resource Type	Article
Subject	Computer Science

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

- description logics.

Using SPARQL to Test for Lattices: application to quality assurance in biomedical ontologies

Ontology-based error detection in snomed-ct.

Using sparql to test for lattices: application to quality assurance in biomedical ontologies.

Blusno: a system for orientation, visualization, and quality assurance of snomed ct using abstraction networks.

Towards a 'Big' Health Data Analytics Platform

Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs

An efficient, large-scale, non-lattice-detection algorithm for exhaustive structural auditing of biomedical ontologies

Ontology evolution with text resources- a study on snomed ct clinical terminology.

Biomedical Ontology Quality Assurance Using a Big Data Approach

Similar Documents

- description logics.

Using SPARQL to Test for Lattices: application to quality assurance in biomedical ontologies

Ontology-based error detection in snomed-ct.

Using sparql to test for lattices: application to quality assurance in biomedical ontologies.

Blusno: a system for orientation, visualization, and quality assurance of snomed ct using abstraction networks.

Towards a 'Big' Health Data Analytics Platform

Auditing SNOMED CT hierarchical relations based on lexical features of concepts in non-lattice subgraphs

An efficient, large-scale, non-lattice-detection algorithm for exhaustive structural auditing of biomedical ontologies

Ontology evolution with text resources- a study on snomed ct clinical terminology.

Biomedical Ontology Quality Assurance Using a Big Data Approach