Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Semantic Web-Based Framework for Scientific Workflows in E-Science

Semantic Web-Based Framework for Scientific Workflows in E-Science
View Sample PDF
Author(s): Singanamalla Vijayakumar (VIT University, India), Nagaraju Dasari (VIT University, India), Bharath Bhushan (VIT University, India) and Rajasekhar Reddy (VIT University, India)
Copyright: 2017
Pages: 16
Source title: Web Semantics for Textual and Visual Information Retrieval
Source Author(s)/Editor(s): Aarti Singh (Guru Nanak Girls College, Yamuna Nagar, India), Nilanjan Dey (Techno India College of Technology, India), Amira S. Ashour (Tanta University, Egypt & Taif University, Saudi Arabia) and V. Santhi (VIT University, India)
DOI: 10.4018/978-1-5225-2483-0.ch009


View Semantic Web-Based Framework for Scientific Workflows in E-Science on the publisher's website for pricing and purchasing information.


In the future generation, computer science plays prominent role in the scientific research. The development in the field of computers will leads to the research benefits of scientific community for sharing data, service computing, building the frameworks and many more. E-Science is the active extending field in the world by the increase data and tools. The proposed work discusses the use of semantic web applications for identifying the components in the development of scientific workflows. The main objective of the proposed work is to develop the framework which assists the scientific community to test and deploy the scientific experiments with the help of ontologies, service repositories, web services and scientific workflows. The framework which aims to sustenance the scientific results and management of applications related to the specific domain. The overall goal of this research is to automate the use of semantic web services, generate the workflows, manage the search services, manage the ontologies by considering the web service composition.

Related Content

M. Govindarajan. © 2022. 23 pages.
Rajab Ssemwogerere, Wamwoyo Faruk, Nambobi Mutwalibi. © 2022. 33 pages.
Surabhi Verma, Ankit Kumar Jain. © 2022. 34 pages.
Kriti Aggarwal, Sunil K. Singh, Muskaan Chopra, Sudhakar Kumar. © 2022. 25 pages.
Praneeth Gunti, Brij B. Gupta, Elhadj Benkhelifa. © 2022. 26 pages.
Yin-Chun Fung, Lap-Kei Lee, Kwok Tai Chui, Gary Hoi-Kit Cheung, Chak-Him Tang, Sze-Man Wong. © 2022. 13 pages.
Lap-Kei Lee, Kwok Tai Chui, Jingjing Wang, Yin-Chun Fung, Zhanhui Tan. © 2022. 16 pages.
Body Bottom