Amy Neustein, PhD is CEO and Founder of Linguistic Technology Systems, in Fort Lee, NJ (USA), a think tank for database engineering, scientific computing, and programming language theory. She is the Volume Editor of 'Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities, and Ecological Monitoring' (Elsevier 2020) and author/editor of 15 academic books covering a wide range of topics: speech technology, natural language processing, robotics in healthcare, mobile speech, text mining, voice technologies for speech reconstruction and enhancement, signal and acoustic modeling for speech and communication disorders, acoustic analysis of pathologies in infants and children, legal jurisprudence and child health-related issues, forensic speaker recognition, and AI, IoT, Big Data, and Cloud Computing for Industry 4.0. She has authored over 75 articles/chapters/conference papers on this wide panoply of subjects. Dr. Neustein received her PhD in Sociology (with a concentration in sociolinguistics and ethnomethodology) from Boston University. She has served as Editor-in-Chief of the 'International Journal of Speech Technology' (Springer) from 2008 till present. She was featured in March 2018 in the SpringerNature “Women in STEM” joint campaign with the United Nations for women in science and technology during Women’s History Month. Dr. Neustein serves as Series Editor of 'SpringerBriefs in Speech Technology: Studies in Signal Processing, Natural Language Understanding, and Machine Learning' (Springer); Series Editor of two additional book series: 'Signals and Communication Technology' (Springer); 'Speech Technology and Text Mining in Medicine and Healthcare' (de Gruyter). Nathaniel Christen is Lead Software Architect at Linguistic Technology Systems, in Fort Lee, NJ (USA). He received a BA in Mathematics, with a concentration in theoretical computer science, from Simon’s Rock of Bard College in Massachusetts. He later completed his Masters in Cultural Studies at George Mason University in Virginia. He is a doctoral candidate (on leave) at the University of Ottawa in Canada. His doctoral research and dissertation have focused on the interrelation of phenomenology, cognitive linguistics, and the philosophy of science. Mr. Christen has served as a technology advisor for a student/faculty project on the implementation of a document repository serving as a digital archive for the emerging publications of students and faculty members. He served as a Teacher’s Assistant at the University of Ottawa, where he taught classes in logic, ethics, and Kantian philosophy. He has programmed extensively in C++, Lisp, and custom languages. He contributed a lengthy chapter on hypergraph-based type theory for software development in a cyber-physical context to Elsevier’s 'Advances in Ubiquitous Computing', edited by Amy Neustein.

• 1. IntroductionPart I: Biomedical data formats and data integration2. Data structures associated with biomedical research3. Data mining and predictive analytics for cancer and COVID-194. Modular design, image biomarkers, and radiomicsPart II: Type theory, graphs, and conceptual spaces5. Types' internal structure and “non-constructive (“NC4”) type theory6. Using code models to instantiate data modelsPart III: Conceptual spaces and graph-oriented data-modeling paradigms7. Multi-aspect modules and image annotation8. Image annotation as a multi-aspect case study9. Conceptual spaces and scientific data models

Amy Neustein, PhD is CEO and Founder of Linguistic Technology Systems, in Fort Lee, NJ (USA), a think tank for database engineering, scientific computing, and programming language theory. She is the Volume Editor of 'Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities, and Ecological Monitoring' (Elsevier 2020) and author/editor of 15 academic books covering a wide range of topics: speech technology, natural language processing, robotics in healthcare, mobile speech, text mining, voice technologies for speech reconstruction and enhancement, signal and acoustic modeling for speech and communication disorders, acoustic analysis of pathologies in infants and children, legal jurisprudence and child health-related issues, forensic speaker recognition, and AI, IoT, Big Data, and Cloud Computing for Industry 4.0. She has authored over 75 articles/chapters/conference papers on this wide panoply of subjects. Dr. Neustein received her PhD in Sociology (with a concentration in sociolinguistics and ethnomethodology) from Boston University. She has served as Editor-in-Chief of the 'International Journal of Speech Technology' (Springer) from 2008 till present. She was featured in March 2018 in the SpringerNature “Women in STEM” joint campaign with the United Nations for women in science and technology during Women’s History Month. Dr. Neustein serves as Series Editor of 'SpringerBriefs in Speech Technology: Studies in Signal Processing, Natural Language Understanding, and Machine Learning' (Springer); Series Editor of two additional book series: 'Signals and Communication Technology' (Springer); 'Speech Technology and Text Mining in Medicine and Healthcare' (de Gruyter). Nathaniel Christen is Lead Software Architect at Linguistic Technology Systems, in Fort Lee, NJ (USA). He received a BA in Mathematics, with a concentration in theoretical computer science, from Simon’s Rock of Bard College in Massachusetts. He later completed his Masters in Cultural Studies at George Mason University in Virginia. He is a doctoral candidate (on leave) at the University of Ottawa in Canada. His doctoral research and dissertation have focused on the interrelation of phenomenology, cognitive linguistics, and the philosophy of science. Mr. Christen has served as a technology advisor for a student/faculty project on the implementation of a document repository serving as a digital archive for the emerging publications of students and faculty members. He served as a Teacher’s Assistant at the University of Ottawa, where he taught classes in logic, ethics, and Kantian philosophy. He has programmed extensively in C++, Lisp, and custom languages. He contributed a lengthy chapter on hypergraph-based type theory for software development in a cyber-physical context to Elsevier’s 'Advances in Ubiquitous Computing', edited by Amy Neustein.

• 1. IntroductionPart I: Biomedical data formats and data integration2. Data structures associated with biomedical research3. Data mining and predictive analytics for cancer and COVID-194. Modular design, image biomarkers, and radiomicsPart II: Type theory, graphs, and conceptual spaces5. Types' internal structure and “non-constructive (“NC4”) type theory6. Using code models to instantiate data modelsPart III: Conceptual spaces and graph-oriented data-modeling paradigms7. Multi-aspect modules and image annotation8. Image annotation as a multi-aspect case study9. Conceptual spaces and scientific data models

Amy Neustein, PhD is CEO and Founder of Linguistic Technology Systems, in Fort Lee, NJ (USA), a think tank for database engineering, scientific computing, and programming language theory. She is the Volume Editor of 'Advances in Ubiquitous Computing: Cyber-Physical Systems, Smart Cities, and Ecological Monitoring' (Elsevier 2020) and author/editor of 15 academic books covering a wide range of topics: speech technology, natural language processing, robotics in healthcare, mobile speech, text mining, voice technologies for speech reconstruction and enhancement, signal and acoustic modeling for speech and communication disorders, acoustic analysis of pathologies in infants and children, legal jurisprudence and child health-related issues, forensic speaker recognition, and AI, IoT, Big Data, and Cloud Computing for Industry 4.0. She has authored over 75 articles/chapters/conference papers on this wide panoply of subjects. Dr. Neustein received her PhD in Sociology (with a concentration in sociolinguistics and ethnomethodology) from Boston University. She has served as Editor-in-Chief of the 'International Journal of Speech Technology' (Springer) from 2008 till present. She was featured in March 2018 in the SpringerNature “Women in STEM” joint campaign with the United Nations for women in science and technology during Women’s History Month. Dr. Neustein serves as Series Editor of 'SpringerBriefs in Speech Technology: Studies in Signal Processing, Natural Language Understanding, and Machine Learning' (Springer); Series Editor of two additional book series: 'Signals and Communication Technology' (Springer); 'Speech Technology and Text Mining in Medicine and Healthcare' (de Gruyter). Nathaniel Christen is Lead Software Architect at Linguistic Technology Systems, in Fort Lee, NJ (USA). He received a BA in Mathematics, with a concentration in theoretical computer science, from Simon’s Rock of Bard College in Massachusetts. He later completed his Masters in Cultural Studies at George Mason University in Virginia. He is a doctoral candidate (on leave) at the University of Ottawa in Canada. His doctoral research and dissertation have focused on the interrelation of phenomenology, cognitive linguistics, and the philosophy of science. Mr. Christen has served as a technology advisor for a student/faculty project on the implementation of a document repository serving as a digital archive for the emerging publications of students and faculty members. He served as a Teacher’s Assistant at the University of Ottawa, where he taught classes in logic, ethics, and Kantian philosophy. He has programmed extensively in C++, Lisp, and custom languages. He contributed a lengthy chapter on hypergraph-based type theory for software development in a cyber-physical context to Elsevier’s 'Advances in Ubiquitous Computing', edited by Amy Neustein.

• 1. IntroductionPart I: Biomedical data formats and data integration2. Data structures associated with biomedical research3. Data mining and predictive analytics for cancer and COVID-194. Modular design, image biomarkers, and radiomicsPart II: Type theory, graphs, and conceptual spaces5. Types' internal structure and “non-constructive (“NC4”) type theory6. Using code models to instantiate data modelsPart III: Conceptual spaces and graph-oriented data-modeling paradigms7. Multi-aspect modules and image annotation8. Image annotation as a multi-aspect case study9. Conceptual spaces and scientific data models