In Ontologies and Natures: Knowledge about Health in Visual Culture, Fernando Gonzalez Rodriguez argues that visual culture offers insights into how societies perceive the role of nature in pursuits to cure and care for the human body. By using a set of visual surfaces and artefacts as entry points the book sheds light on ideas about nature as a healing source.

Predictive microbiology is a recent area within food microbiology, which studies the responses of microorganisms in foods to environmental factors (e.g., temperature, pH) through mathematical functions. These functions enable scientists to predict the behavior of pathogens and spoilage microorganisms under different combinations of factors. The main goal of predictive models in food science is to assure both food safety and food quality. Predictive models in foods have developed significan...

General approaches to multiculturalism run the risk of overlooking an increasingly diverse student population that deserves special consideration and attention: students from immigrant backgrounds whose families toil the fields in order to provide better educational opportunities for their children. This book’s purpose is to guide educators to think deeply about their roles and responsibilities in the education of children of farmworker families in our nation’s schools. Readers will view t...

Recent combinations of semantic technology and artificial intelligence (AI) present 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 extr...

As organizations continue to use artificial intelligence (AI), its long-term impact on different sectors rises. AI is expected to positively affect sustainability, though its effects on the achievement of current sustainable development goals (SDGs) are not yet sufficiently studied. However, AI does hold great potential for building inclusive knowledge societies and helping countries reach their targets for sustainable development. With this innovation comes acute ethical challenges. Furth...

The integration of medical large language models (LLMs) and AI in healthcare transforms how medical professionals diagnose conditions, manage patient care, and access clinical information. These advanced technologies may improve efficiency, enhance decision-making, and expand access to healthcare services through applications like virtual assistants, medical documentation, predictive analytics, and personalized treatment recommendations. However, the increasing use of AI in clinical settin...

A key focus in recent years has been on sustainable development and promoting environmentally conscious practices. In today’s rapidly evolving technological world, it is important to consider how technology can be applied to solve problems across disciplines and fields in these areas. Further study is needed in order to understand how technology can be applied to sustainability and the best practices, considerations, and challenges that follow. Futuristic Trends for Sustainable Development...

In the landscape of AI and data science, the convergence of large language models (LLMs), knowledge graphs (KGs), and the Semantic Web ushers in a new era of intelligent systems. These technologies transform how machines understand and process human language while redefining the way knowledge is extracted, structured, and utilized. LLMs are enhanced by the structured data of KGs and the frameworks of the Semantic Web. Together, they revolutionize data processing, enabling deeper semantic u...

A persistent challenge infects the vast setting of academic pursuits; the enduring gender gap in science, technology, engineering, and mathematics (STEM). Despite incremental progress, women continue to face formidable obstacles, ranging from entrenched stereotypes to institutional oversights. The urgency of addressing this issue cannot be overstated, as evidenced by UNESCO's revelation that less than 30% of the world's researchers and scientists are women. Exploring Intersectionality and ...

This book constitutes the proceedings of the 4th Iberoamerican Conference and third Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2022, which took place in Madrid, Spain, in November 2022.The 22 full and 3 short research papers presented in this volume were carefully reviewed and selected from 63 submissions. The papers cover topics related to software and its engineering, software creation and management, Emerging technologies, Analysis and design of emergin...

This book constitutes the refereed proceedings of the Second International Conference on Electronic Governance with Emerging Technologies, EGETC 2023, held in Poznan, Poland, during September 11–12, 2023.The 15 full papers and one short paper presented were thoroughly reviewed and selected from the 76 submissions. This volume focuses on the recent developments in the domain of eGovernment and governance of digital organizations also aims to shed light on the emerging research trend...

This book constitutes the refereed proceedings of the 6th International Conference on Knowledge Graphs and Semantic Web, KGSWC 2024, held in Paris, France, during December 11–13, 2024.The 22 full papers and 1 short paper presented were carefully reviewed and selected from 58 submissions. They focus on latest scientific results and technology innovations related to the Knowledge Graphs and the Semantic Web.