Semantic AI in knowledge graphs / edited by Sanju Tiwari, Fernando Ortiz Rodriguez, Sarra Ben Abbés, Patience Usoro Usip and Rim Hantach.
| Format | Electronic |
| Publication Info | Boca Raton : CRC Press, 2023. |
| Description | pages cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Other author/creator | Tiwari, Sanju, 1979- |
| Other author/creator | Ortiz-Rodriguez, Fernando, 1974- |
| Other author/creator | Ben Abbès, Sarra, 1985- |
| Other author/creator | Usip, Patience Usoro. |
| Other author/creator | Hantach, Rim. |
| Other author/creator | KGSWC (Conference) (2021 : Online) |
| Contents | Leveraging semantic knowledge graphs in educational recommenders to address the cold-start problem -- Modelling event-centric knowledge graphs for crime analysis on online news -- Semantic natural language processing for knowledge graph creation -- Multi-modal semantic embeddings for datasets with several positive matchings -- Text-based emergency alert framework for under-resourced languages in Nigeria -- Knowledge graphs in healthcare -- Explainable machine learning based knowledge graphs for modelling location-based recreational services from users profile -- Building knowledge graphs from relational databases. |
| Abstract | "Recent combinations of Semantic Technology and Artificial Intelligence presents new techniques to build intelligent systems that identify more precise results. Semantic AI in Knowledge Graphs locates itself at the forefront of this novel development, uncovering the role of machine learning to extend the knowledge graphs by graph mapping or corpus-based ontology learning. Securing efficient results via the combination of symbolic AI and statistical AI such as entity extraction based on machine learning, text mining methods, semantic knowledge graphs, and related reasoning power, this book is the first of its kind to explore Semantic AI and Knowledge Graphs. A range of topics are covered, from: neuro-symbolic AI, explainable AI and deep learning to knowledge discovery and mining, and knowledge representation and reasoning. A trailblazing exploration of semantic AI in knowledge graphs, this book is a significant contribution to both researchers in the field of AI and data mining as well as beginner academicians"-- Provided by publisher. |
| General note | "The book...comprises of extended papers from workshops collocated during the KGSWC 2021" --Preface. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2023002144 |
| ISBN | 9781032321851 (hardback) |
| ISBN | 9781032321868 (paperback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |