A Web Based Integration Framework Over Heterogeneous Biomedical Data And Knowledge Sources
Download A Web Based Integration Framework Over Heterogeneous Biomedical Data And Knowledge Sources PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get A Web Based Integration Framework Over Heterogeneous Biomedical Data And Knowledge Sources book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
A Web-based Integration Framework Over Heterogeneous Biomedical Data and Knowledge Sources
The biomedical research community has been one of the earliest adopters of Semantic Web technologies and Linked Data principles. Several databases and knowledge bases are published and linked on the Web using these technologies to create the Life Sciences Linked Open Data (LSLOD) cloud. During this age of data and knowledge explosion in biomedicine, Semantic Web technologies and the LSLOD cloud may provide a unique opportunity toward the integration of disparate biomedical data and knowledge stored in isolated repositories. However, in the current state of the LSLOD cloud, it is still very difficult for most biomedical researchers to query and integrate data and knowledge from multiple sources simultaneously. The semantic heterogeneity across the LSLOD cloud makes the task of serendipitously discovering implicit associations illusive. I hypothesize that a Semantic Web pattern-based query federation framework can aid in the integration of multiple disparate, heterogeneous biomedical data and knowledge sources for discovering novel implicit associations in biomedicine serendipitously. I detect and quantify the manifestations of semantic heterogeneity across biomedical ontologies and linked data sources in the LSLOD cloud. I develop the PhLeGrA (Linked Graph Analytics in Pharmacology) framework for heterogeneous biomedical data and knowledge integration, and association discovery. I demonstrate the utility of the PhLeGrA framework to generate a systems pharmacology network composed of drugs, proteins, pathways and phenotypes. In conjunction with this systems pharmacology network, PhLeGrA mines clinical data in spontaneous reporting systems and electronic health records for detecting adverse drug reactions that manifest due to multiple drug intake, and provides explanations on the underlying biological mechanisms. The findings presented in this research will make Semantic Web developers and publishers more aware of the architectural issues associated with mining the LSLOD cloud. The methods that I have developed should enable biomedical researchers to query and integrate data and knowledge from multiple, heterogeneous LSLOD sources for solving complex biomedical problems.
Biological and Medical Data Analysis
Author: José María Barreiro
language: en
Publisher: Springer Science & Business Media
Release Date: 2004-11-18
This book constitutes the refereed proceedings of the 5th International Symposium on Biological and Medical Data Analysis, ISBMDA 2004, held in Barcelona, Spain in November 2004. The 50 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on data analysis for image processing, data visualization, decision support systems, information retrieval, knowledge discovery and data mining, statistical methods and tools, time series analysis, data management and analysis in bioinformatics, integration of biological and medical data, metabolic data and pathways, and microarray data analysis and visualization.