Data science with semantic technologies. New trends and future developments /

As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This first volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technolog...

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Bibliographic Details
Corporate Author:	Taylor & Francis
Other Authors:	Patel, Archana (Lecturer in software engineering) (Editor), Debnath, N. C. (Narayan C.) (Editor)
Format:	eBook
Language:	English
Published:	Boca Raton, FL : CRC Press, 2023.
Edition:	First edition.
Subjects:	Big data. Semantic computing. Artificial intelligence. Information science. Information technology. Données volumineuses. Informatique sémantique. Intelligence artificielle. Sciences de l'information. Technologie de l'information. artificial intelligence. information science. information technology. TECHNOLOGY / Operations Research TECHNOLOGY / Manufacturing Artificial intelligence Big data Information science Information technology Semantic computing Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

1. What is Data Science. 2. Big Data and its Future. 3. Smart Warehouse Testbed: From Conceptual Framework to a Real Project. 4. Empirical Study on Sentiment Analysis. 5. Forecasting on Covid-19 Data Using ARIMAX Model. 6. ML-Based Method for Detecting and Alerting to Cyber Attacks. 7. Machine Learning in Natural Language Processing-Emerging Trends and Challenges. 8. Machine Learning and Future Directions. 9. Towards a Web Standard for Neurosymbolic Integration and Knowledge Representation Using Model Cards. 10. Semantic Web Technologies. 11. Data Science with Semantic Technologies. 12. Ontological Perspective in Cancer Care System. 13. Interoperability Frameworks: Data Fabric and Data Mesh Architectures. 14. Recommender System for E-commerce: How Ontologies Support Recommendations.