An Unstructured Information Management Architecture Approach to Text Analytics of Cancer Blogs

2014 ◽  
Vol 9 (2) ◽  
pp. 16-33 ◽  
Author(s):  
Viju Raghupathi ◽  
Wullianallur Raghupathi
Keyword(s):  
Social Media ◽  
Decision Support ◽  
Open Source ◽  
Information Management ◽  
Text Analytics ◽  
Cancer Management ◽  
Unstructured Information Management Architecture ◽  
Management Architecture ◽  
Search For Information ◽  
Unstructured Information

In this research the authors explore the potential of the Unstructured Information Management Architecture (UIMA) platform in text analytics of cancer blogs. The application is developed using the UIMA open source platform. They use the text analytics methods of categorization, clustering, taxonomic classification, and others to identify and analyze the patterns in cancer blog postings. The authors establish a comprehensive UIMA methodology for developing text analytics applications for the analysis of cancer blogs. Additional insights are extracted through the development of categories or keywords contained in the blogs, the development of a taxonomy and the examination of relationships among the categories. The application has the potential for generalizability and implementation with health content in other blogs and social media. It has the potential to provide insight and decision support for cancer management and to facilitate the efficient and relevant search for information on cancer.

An Unstructured Information Management Architecture Approach to Text Analytics of Cancer Blogs

2016 ◽  
pp. 995-1013
Author(s):  
Viju Raghupathi ◽  
Wullianallur Raghupathi
Keyword(s):  
Social Media ◽  
Decision Support ◽  
Information Management ◽  
Taxonomic Classification ◽  
Text Analytics ◽  
Cancer Management ◽  
Unstructured Information Management Architecture ◽  
Management Architecture ◽  
Search For Information ◽  
Unstructured Information

In this research the authors explore the potential of the Unstructured Information Management Architecture (UIMA) platform in text analytics of cancer blogs. The application is developed using the UIMA open source platform. They use the text analytics methods of categorization, clustering, taxonomic classification, and others to identify and analyze the patterns in cancer blog postings. The authors establish a comprehensive UIMA methodology for developing text analytics applications for the analysis of cancer blogs. Additional insights are extracted through the development of categories or keywords contained in the blogs, the development of a taxonomy and the examination of relationships among the categories. The application has the potential for generalizability and implementation with health content in other blogs and social media. It has the potential to provide insight and decision support for cancer management and to facilitate the efficient and relevant search for information on cancer.

Text analytics for life science using the Unstructured Information Management Architecture

2004 ◽  
Vol 43 (3) ◽  
pp. 490-515 ◽  
Author(s):  
R. Mack ◽  
S. Mukherjea ◽  
A. Soffer ◽  
N. Uramoto ◽  
E. Brown ◽  
...  
Keyword(s):  
Information Management ◽  
Life Science ◽  
Text Analytics ◽  
Unstructured Information Management Architecture ◽  
Management Architecture ◽  
Unstructured Information

Classify the Search Result Based on IBM OminiFind Edition and UIMA

2013 ◽  
Vol 834-836 ◽  
pp. 1807-1811
Author(s):  
Jian Xia Du ◽  
Xiao Dong Sun ◽  
Zeng Min Geng
Keyword(s):  
Information Management ◽  
Search Space ◽  
Semantic Search ◽  
Client Application ◽  
Search Result ◽  
Unstructured Information Management Architecture ◽  
Management Architecture ◽  
And Function ◽  
Unstructured Information ◽  
Semantic Search Engine

A method is proposed which uses the IBM OmniFind Enterprise Edition combined with IBM open source of unstructured information management architecture of Unstructured Information Management Architecture (UIMA), to realize the IBM OmniFind Enterprise Edition semantic search engine search and result classification. This method makes the search space and function more widely, which can not only meet the higher demand of the part of the user, but also increase the competitiveness of the client application.

scholarly journals REPEATABLE DEPLOYMENT OF AN OPEN STANDARDS, OPEN SOURCE AND OPEN DATA STACK FOR BUILDING A FEDERATED MARINE DATA MANAGEMENT AND DECISION SUPPORT SYSTEM FOR SOUTH AFRICA

2018 ◽  
Vol XLII-4/W8 ◽  
pp. 139-145
Author(s):  
G. McFerren ◽  
R. Molapo ◽  
B. McAlister
Keyword(s):  
South Africa ◽  
Decision Support ◽  
Open Source ◽  
Information Management ◽  
Open Data ◽  
Information Management System ◽  
Lessons Learned ◽  
Computing Environments ◽  
Open Standards

<p><strong>Abstract.</strong> The National Oceans and Coastal Information Management System (OCIMS) of South Africa is a large, integrated IT system for enhancing oceans, coastal and maritime governance, and supporting sustainable economic utilisation of ocean and coastal resources. This article is a case study, describing how a range of Free and Open Source Software are deployed to generate the Open Standards based core of this federated system for providing decision support applications in addition to data and information management, access and dissemination services. This article demonstrates the importance of modern software development and deployment approaches in constructing the OCIMS core and easing the integration process with other systems in the federation. Finally, this article discusses some lessons learned and reflects on the lineage of OCIMS architectural choices and how these approaches may need to adapt to changing computing environments.</p>

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