Data Science With Semantic Technologies. Deployment and Exploration
Gone are the days when data was interlinked with related data by humans and human interpretation was required. Data is no longer just data. It is now considered a Thing or Entity or Concept with meaning, so that a machine not only understands the concept but also extrapolates the way humans do.Data...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
CRC Press
2023
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| Edición: | 1st ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009757914806719 |
Tabla de Contenidos:
- 1. Machine Learning Meets the Semantic Web. 2. Knowledge Graphs: Connecting Information over the Semantic Web. 3. Latest Trends In Language Processing To Make Semantic Search More Semantic. 4. Semantic Information Retrieval Models. 5. Enterprise Application Development Using Semantic Web Languages for Semantic Data Modeling. 6. The Metadata Management for Semantic Ontology in Big Data. 7. Role of Knowledge Data Science during Covid-19. 8. Semantic Technologies in Next Era of Industry Revolution: Industry 4.0. 9. Semantic Interoperability Framework and its Application in Agriculture. 10. Design and Implementation of a Short Circuit Detection System Using Data Stream and Semantic Web Techniques. 11. Semantic-Based Access Control for Data Resources. 12. Ontological Engineering: Research Directions andReal-Life Applications. 13. Expert Systems in AI - Components, Applications, and Characteristics Focusing on Chatbot.
