This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and knowledge engineering toward data engineering and knowledge. Visual data exploration focuses on perception of information and manipulation of data to enable even non-expert users to extract knowledge. A number of visualization techniques are used in a variety of systems that provide users with innovative ways to interact with data and reveal patterns. A variety of scalable data visualization techniques are required to deal with constantly increasing volume of data in different formats. Knowledge engineering deals with the simulation of the exchange of ideas and the development of smart information systems in which reasoning and knowledge play an important role. Presenting research in areas like data visualization and knowledge engineering, this book is a valuable resource for students, scholars and researchers in the field. Each chapter is self-contained and offers an in-depth analysis of real-world applications. It discusses topics including (but not limited to) spatial data visualization; biomedical visualization and applications; image/video summarization and visualization; perception and cognition in visualization; visualization taxonomies and models; abstract data visualization; information and graph visualization; knowledge engineering; human–machine cooperation; metamodeling; natural language processing; architectures of database, expert and knowledge-based systems; knowledge acquisition methods; applications, case studies and management issues: data administration issues and knowledge; tools for specifying and developing data and knowledge bases using tools based on communication aspects involved in implementing, designing and using KBSs in cyberspace; Semantic Web.
Author(s): Jude Hemanth, Madhulika Bhatia, Oana Geman (Editors)
Series: Lecture Notes On Data Engineering And Communications Technologies Vol. 32
Publisher: Springer
Year: 2020
Language: English
Pages: 321
Tags: Computational Intelligence, Data Visualization, knowledge Engineering, Artificial Intelligence
Front Matter ....Pages i-vi
Cross Projects Defect Prediction Modeling (Lipika Goel, Sonam Gupta)....Pages 1-21
Recommendation Systems for Interactive Multimedia Entertainment (Shilpi Aggarwal, Dipanjan Goswami, Madhurima Hooda, Amirta Chakravarty, Arpan Kar, Vasudha)....Pages 23-48
Image Collection Summarization: Past, Present and Future (Anurag Singh, Deepak Kumar Sharma)....Pages 49-78
Deep Learning Based Semantic Segmentation Applied to Satellite Image (Manami Barthakur, Kandarpa Kumar Sarma)....Pages 79-107
A Deep Dive into Supervised Extractive and Abstractive Summarization from Text (Monalisa Dey, Dipankar Das)....Pages 109-132
Semantic Web and Data Visualization (Abhinav Singh, Utsha Sinha, Deepak Kumar Sharma)....Pages 133-150
Challenges and Responses Towards Sustainable Future Through Machine Learning and Deep Learning (Saksham Gulati, Shilpi Sharma)....Pages 151-169
Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convolutional Neural Network (Surbhi Vijh, Shilpi Sharma, Prashant Gaurav)....Pages 171-194
Analysis and Visualization of User Navigations on Web (Honey Jindal, Neetu Sardana, Raghav Mehta)....Pages 195-221
Research Trends for Named Entity Recognition in Hindi Language (Arti Jain, Devendra K. Tayal, Divakar Yadav, Anuja Arora)....Pages 223-248
Data Visualization Techniques, Model and Taxonomy (Shreyans Pathak, Shashwat Pathak)....Pages 249-271
Prevalence of Visualization Techniques in Data Mining (Rosy Madaan, Komal Kumar Bhatia)....Pages 273-298
Relevant Subsection Retrieval for Law Domain Question Answer System (Aayushi Verma, Jorge Morato, Arti Jain, Anuja Arora)....Pages 299-319
