[PDF] A Web Based Integration Framework Over Heterogeneous Biomedical Data And Knowledge Sources eBook

Author : Maulik Rajendra Kamdar
Publisher :
Page : pages
File Size : 39,59 MB
Release : 2019
Category :
ISBN :

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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.

Author : José María Barreiro
Publisher : Springer Science & Business Media
Page : 519 pages
File Size : 40,63 MB
Release : 2004-11-18
Category : Computers
ISBN : 3540239642

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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.

Author : K.A. Kuhn
Publisher : IOS Press
Page : 1532 pages
File Size : 40,1 MB
Release : 2007-08-02
Category : Computers
ISBN : 1607502666

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The theme of Medinfo2007 is “Building Sustainable Health Systems”. Particular foci are health challenges for the developing and developed world, the social and political context of healthcare, safe and effective healthcare, and the difficult task of building and maintaining complex health information systems. Sustainable health information systems are those that can meet today’s needs without compromising the needs of future generations. To build a global knowledge society, there needs to be an increased cooperation between science and technology and access to high-quality knowledge and information. The papers presented are refereed and from all over the world. They reflect the breadth and depth of the field of biomedical and health informatics, covering topics such as; health information systems, knowledge and data management, education, standards, consumer health and human factors, emerging technologies, sustainability, organizational and economic issues, genomics, and image and signal processing. As this volume carries such a wide collection, it will be of great interest to anyone engaged in biomedical and health informatics research and application.

Author : Amos Bairoch
Publisher : Springer
Page : 221 pages
File Size : 41,75 MB
Release : 2008-06-17
Category : Medical
ISBN : 3540698280

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For several years now, there has been an exponential growth of the amount of life science data (e. g. , sequenced complete genomes, 3D structures, DNA chips, mass spectroscopy data), most of which are generated by high-throughput - periments. This exponentialcorpusof data is storedand made availablethrough a large number of databases and resources over the Web, but unfortunately still with a high degreeof semantic heterogeneity and varying levels of quality. These data must be combined together and processed by bioinformatics tools deployed on powerful and e?cient platforms to permit the uncovering of patterns, s- ilarities and in general to help in the process of discovery. Analyzing complex, voluminous, and heterogeneous data and guiding the analysis of data are thus of paramount importance and necessitate the involvement of data integration techniques. DILS 2008 was the ?fth in a workshop series that aims at fostering disc- sion, exchange, and innovation in research and development in the area of data integration for the life sciences. Each previous DILS workshop attracted around 100 researchers from all over the world and saw an increase of submitted - pers over the preceding one. This year was not an exception and the number of submitted papers increased to 54. The ProgramCommittee selected 18 of them. The selected papers cover a wide spectrum of theoretical and practical issues including data annotation, Semantic Web for the life sciences, and data mining on integrated biological data.

Author : Vishal Jain
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 29,95 MB
Release : 2020-07-10
Category : Computers
ISBN : 1119641365

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With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data. This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas: Semantic data integration in e-health care systems Keyword-based medical information retrieval Ontology-based query retrieval support for e-health implementation Ontologies as a database management system technology for medical information retrieval Information integration using contextual knowledge and ontology merging Collaborative ontology-based information indexing and retrieval in health informatics An ontology-based text mining framework for vulnerability assessment in health and social care An ontology-based multi-agent system for matchmaking patient healthcare monitoring A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems A methodology for ontology based multi agent systems development Ontology based systems for clinical systems: validity, ethics and regulation

Author : Naveen Ashish
Publisher : Springer
Page : 284 pages
File Size : 19,25 MB
Release : 2015-07-07
Category : Computers
ISBN : 3319218433

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This book constitutes the proceedings of the 11th International Conference on Data Integration in the Life Sciences, DILS 2015, held in Los Angeles, CA, USA, in July 2015. The 24 papers presented in this volume were carefully reviewed and selected from 40 submissions. They are organized in topical sections named: data integration technologies; ontology and knowledge engineering for data integration; biomedical data standards and coding; medical research applications; and graduate student consortium.

Author : Chwee Teck Lim
Publisher : Springer Science & Business Media
Page : 2355 pages
File Size : 19,84 MB
Release : 2009-03-15
Category : Technology & Engineering
ISBN : 3540928413

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th On behalf of the organizing committee of the 13 International Conference on Biomedical Engineering, I extend our w- mest welcome to you. This series of conference began in 1983 and is jointly organized by the YLL School of Medicine and Faculty of Engineering of the National University of Singapore and the Biomedical Engineering Society (Singapore). First of all, I want to thank Mr Lim Chuan Poh, Chairman A*STAR who kindly agreed to be our Guest of Honour to give th the Opening Address amidst his busy schedule. I am delighted to report that the 13 ICBME has more than 600 participants from 40 countries. We have received very high quality papers and inevitably we had to turndown some papers. We have invited very prominent speakers and each one is an authority in their field of expertise. I am grateful to each one of them for setting aside their valuable time to participate in this conference. For the first time, the Biomedical Engineering Society (USA) will be sponsoring two symposia, ie “Drug Delivery S- tems” and “Systems Biology and Computational Bioengineering”. I am thankful to Prof Tom Skalak for his leadership in this initiative. I would also like to acknowledge the contribution of Prof Takami Yamaguchi for organizing the NUS-Tohoku’s Global COE workshop within this conference. Thanks also to Prof Fritz Bodem for organizing the symposium, “Space Flight Bioengineering”. This year’s conference proceedings will be published by Springer as an IFMBE Proceedings Series.

Author : Vishal Jain
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 49,55 MB
Release : 2021-12-09
Category : Computers
ISBN : 1119762294

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SEMANTIC WEB FOR EFFECTIVE HEALTHCARE SYSTEMS The book summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions Semantic Web technologies have the opportunity to transform the way healthcare providers utilize technology to gain insights and knowledge from their data and make treatment decisions. Both Big Data and Semantic Web technologies can complement each other to address the challenges and add intelligence to healthcare management systems. The aim of this book is to analyze the current status on how the semantic web is used to solve health data integration and interoperability problems, and how it provides advanced data linking capabilities that can improve search and retrieval of medical data. Chapters analyze the tools and approaches to semantic health data analysis and knowledge discovery. The book discusses the role of semantic technologies in extracting and transforming healthcare data before storing it in repositories. It also discusses different approaches for integrating heterogeneous healthcare data. This innovative book offers: The first of its kind and highlights only the ontology driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems; Presents a comprehensive examination of the emerging research in areas of the semantic web; Discusses studies on new research areas including ontological engineering, semantic annotation and semantic sentiment analysis; Helps readers understand key concepts in semantic web applications for the biomedical engineering and healthcare fields; Includes coverage of key application areas of the semantic web. Audience: Researchers and graduate students in computer science, biomedical engineering, electronic and software engineering, as well as industry scientific researchers, clinicians, and systems managers in biomedical fields.

Author : Sean Ekins
Publisher : John Wiley & Sons
Page : 462 pages
File Size : 45,82 MB
Release : 2011-08-04
Category : Science
ISBN : 1118026020

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Methods, Processes, and Tools for Collaboration "The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types." Bryn Williams-Jones, Associate Research Fellow, Pfizer The pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations. Featuring contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships, including: Serving as a user manual for collaborations Tackling real problems from both human collaborative and data and informatics perspectives Providing case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader A must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies.