TTOBIR-2021: Trends and Technologies in Ontology Based Information Retrieval for Health Care System |
Website | https://sites.google.com/view/ttobir-2021/home |
Submission link | https://easychair.org/conferences/?conf=ttobir2021 |
Abstract registration deadline | December 10, 2020 |
Submission deadline | February 20, 2021 |
- Book Title: Trends and Technologies in Ontology Based Information Retrieval for Health Care System
- Publisher: NOVA Science Publishers, U.S.
- Submission Link: https://easychair.org/conferences/?conf=ttobir2021
- Editors:
- Dr. Parma Nand, Sharda University, Greater Noida, U. P., India
- Dr. Arun Prakash Agrawal, Sharda University, Greater Noida, U. P., India
- Dr. Ankur Choudhary, Sharda University, Greater Noida, U. P., India
- Dr. Vishal Jain, Sharda University, Greater Noida, U. P., India
In today’s era, extracting suitable information from a huge collection of web pages has become a cumbersome task due to large amount of data. Organization of this diverse data has become the need of the hour to enable quick and easy access to solicited data. Many Information Retrieval (IR) techniques have so far been presented but still there is some room for improvement. Current IR Techniques lack in exploiting semantic knowledge from within the documents. Information Retrieval approaches are primarily responsible for handling annotations in Semantic Web (SW) languages. With the exponential growth of web, it has become very difficult to extract relevant pieces of information on the web as the information may be in structured, semi-structured or unstructured form. This attracts the application of automated tools to track, and analyse the navigation patterns in order to find the desired information sources. Role of user modelling and personalized information access is increasing in this context. Ontology provides a structured mechanism to obtain information on the web through Semantic Web. Healthcare is the domain now days where we are generating a huge amount of data every single minute and requires the development of an effective information retrieval system. The implementation of such information retrieval system integrates the heterogeneous information from the healthcare environment. Ontology based Information Retrieval systems use ontologies to define disease-treatment relationship and will be used for effective information retrieval. Medical records are widely distributed to provide autonomy to data as sharing and accessing medical data is a crucial process. Complexity increases further when the number of requests to access data increases. Ontology–based information extraction is considered as an effective method to improve the performance of information extraction (IE) systems. Aim of this book is to explore the avenues in health care domain utilizing efficient information retrieval systems. Many challenges need to be addressed in identifying the data resources and methods for the effective information retrieval and integration. For research and disbursal of customized healthcare services, a major challenge is to efficiently retrieve and analyse individual patient data from a large volume of heterogeneous data over a long span of time. This requires effective ontology-based information retrieval approaches for clinical information systems. The pages displayed by search engines may not always be relevant. The medical field offers restricted vocabularies that encapsulate semantic information about various biomedical models, their semantic types and the relationships among them. The current web standard does not support Semantic Web technology. Information retrieval is fundamentally based on keyword-matching approaches. The fact that individuals use diverse terms to denote the same object presents a significant challenge in the healthcare industry. Textual query is transformed into a set of representative concepts matched to the indexed documents. End users still have to search for desired documents manually. Hence, the detection of pertinent information becomes a critical task. This book is an attempt to highlight the key advances in ontology-based information retrieval techniques especially in the healthcare domain. The varied chapters attempt to uncover the current challenges in the application of ontology-based information retrieval techniques to the healthcare systems. The book shall be first of its kind that highlights only the ontology driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems. The book can serve as a potential textbook for courses in healthcare systems. It can also serve as a reference book to medical practitioners as well as researchers involved in implementing as well as providing customized health care solutions to patients.
Recommended Topics:Full length original and unpublished papers, based on theoretical and experimental contributions, related, but not limited to, the following topics, are solicited for publication in the book:-
- The Basics of Ontology-Based Information Retrieval: An Introduction
- Need of Ontology Based Information Retrieval in HealthCare
- Keyword-Based Medical Information Retrieval
- Search-Based Medical Information Retrieval
- Ontology Based Information Retrieval Systems for Clinical Systems: A Case Study
- Ontology Based Information Retrieval Systems in Health Informatics
- Ontology Based Information Retrieval for monitoring Telemedicine implementation
- Ontology Based Information Retrieval for Vulnerability Assessment in Health and Social Care
- Ontology Based Information Retrieval for Diagnostics Work
- Ontology Based Information Retrieval Systems for e-Health Implementation
- Ontology Based Information Retrieval Systems for Clinical Systems: Validity, ethics and regulation
- Ontology Based Information Retrieval Systems for Clinical Systems: The Advances
- Ontology Based Information Retrieval Systems for Healthcare: The Challenges
- Ontology Based Information Retrieval Systems for Patient healthcare monitoring
- Ontology Based Information Retrieval Systems for Reducing Cost of Customized Healthcare Systems
- Ontology Based Information Retrieval Systems for a Nationwide Healthcare System
SUBMISSION DUE DATE:
- Call for Chapter Proposal (1000-2000 Words): 10th December, 2020
- Notification of Proposal Approval: 15th January, 2021
- Full Chapter Submission: 20th February, 2021
- Review of Chapters notification to Authors: 15th March, 2021
- Revised Chapter Submission from Chapter Authors (If required): 10th April, 2021
- Final Acceptance/Rejection Notifications to Chapter Authors: 20th May, 2021
Submission Guidelines
SUBMISSION PROCEDURE: Researchers and practitioners are invited to submit abstract on or before 10th December, 2020, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by 15th January, 2021 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by 20th February, 2021 and all interested authors must consult the guidelines for manuscript submissions at https://novapublishers.com/authors-central/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
PUBLISHER:This book is scheduled to be published by Nova Science Publishers, U.S. Nova Founded in 1985 in New York by Frank Columbus Nova Science Publishers, Inc. has become one of the leading STM (Scientific, Technical and Medical) publishers worldwide. Since his passing in 2010, Nova is led by his wife and partner Nadya Columbus, and Vice Presidents Alexandra Columbus and Donna Dennis. As of 2019, Nova’s team is composed of over 35 employees and 50 freelancers. Their publications include printed (hardcover and softcover) and electronic books, journals, conference proceedings, handbooks, encyclopedias, edited collections and series collections. Currently, Nova publishes approximately 1,800 new titles every year from authors in the top universities and colleges from around the world. Details are available at: https://novapublishers.com/about-us/ .
Contact
All questions about submissions should be emailed to ...
- Dr. Parma Nand, Sharda University, Greater Noida, U. P., India (Email: parmaastya@gmail.com)
- Dr. Arun Prakash Agrawal, Sharda University, Greater Noida, U. P., India (Email: arun_pr_agrawal@yahoo.co.uk)
- Dr. Ankur Choudhary, Sharda University, Greater Noida, U. P., India (Email: ankur.tomer@gmail.com)
- Dr. Vishal Jain, Sharda University, Greater Noida, U. P., India (Email: drvishaljain83@gmail.com)