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Semantic Intelligence: Lecture Notes in Electrical Engineering, cartea 1258

Editat de Sarika Jain, Nandana Mihindukulasooriya, Valentina Janev, Cogan Matthew Shimizu
en Limba Engleză Hardback – 30 dec 2024

În peisajul actual al informaticii, suntem de părere că tranziția de la procesarea simplă a datelor la înțelegerea semantică reprezintă saltul tehnologic critic al deceniului. Ca și Noreddine Gherabi în Intelligent Systems in Big Data, Semantic Web and Machine Learning, editorii acestui volum distilează experiența reală din industrie și mediul academic în principii acționabile pentru sisteme inteligente. Totuși, Semantic Intelligence se distinge prin actualitatea sa imediată, fiind ancorat în rezultatele conferinței ISIC 2023 și oferind o perspectivă tehnică proaspătă asupra provocărilor emergente, precum fiabilitatea dovezilor electronice în era Deepfakes.

Subliniem faptul că acest titlu completează organic opera anterioară a editorilor, precum Understanding Semantics-Based Decision Support sau Machine Learning in Healthcare and Security. Dacă lucrările precedente se concentrau pe fundamentele interoperabilității și aplicații sectoriale specifice, volumul de față extinde spectrul către infrastructuri complexe: strategii de scalare pentru Knowledge Graphs, containere Docker în diverse medii de programare și servicii energetice integrate de generație următoare.

Structura volumului reflectă o progresie logică de la arhitectura datelor spre aplicații sociale și juridice. Ne-a atras atenția rigoarea cu care sunt tratate subiecte precum detectarea anomaliilor prin Deep Learning și lingvistica computațională aplicată în analiza medico-legală. Nu este doar o colecție de eseuri, ci un compendiu tehnic ce explorează limitele actuale ale realității virtuale și bazele jurisprudențiale pentru analiza textelor legale prin AI. Formatul Hardback și apartenența la seria Lecture Notes in Electrical Engineering confirmă statutul de lucrare de referință, destinată consultării pe termen lung în bibliotecile de specialitate.

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Specificații

ISBN-13: 9789819773558
ISBN-10: 9819773555
Pagini: 480
Ilustrații: X, 490 p. 200 illus., 100 illus. in color.
Dimensiuni: 160 x 241 x 30 mm
Greutate: 0.97 kg
Ediția:2025
Editura: Springer
Colecția Lecture Notes in Electrical Engineering
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această carte cercetătorilor și inginerilor software care doresc să implementeze soluții de web semantic și grafuri de cunoaștere la scară industrială. Cititorul câștigă acces la metodologii verificate pentru interoperabilitatea sistemelor și tehnici avansate de Deep Learning. Este un instrument esențial pentru a înțelege cum pot fi aplicate ontologiile în domenii diverse, de la securitate cibernetică la analiza juridică, oferind un avantaj competitiv în proiectarea sistemelor inteligente complexe.


Despre autor

Sarika Jain, alături de Nandana Mihindukulasooriya, Valentina Janev și Cogan Matthew Shimizu, formează un colectiv editorial cu o expertiză vastă în inteligență artificială și tehnologii semantice. Sarika Jain este recunoscută pentru contribuțiile sale în domeniul sistemelor de suport decizional bazate pe semantică și a coordonat numeroase proiecte de cercetare axate pe interoperabilitatea datelor. Experiența lor cumulată acoperă atât fundamentarea teoretică a ontologiilor, cât și aplicabilitatea practică a Machine Learning în securitate și sănătate, transformând acest volum într-o resursă academică de înaltă ținută în cadrul editurii Springer.


Descriere scurtă

This book constitutes refereed proceedings of the 3rd International Semantic Intelligence Conference (ISIC 2023). This book covers a wide range of topics, including semantic web engineering, ontology-based data access, multimodal and multilingual access, machine-to-machine communications and interoperability, knowledge extraction and ontology learning from the web, computational paradigms and computational intelligence, distributed and mobile systems, and many others. This book includes novel contributions and the latest developments from researchers across industry and academia. This book serves as a valuable reference resource for academics and researchers across the globe.

Cuprins

Fragmenting Data Strategies to Scale up the Knowledge Graph Creation.- Comparative Analysis of Docker Image Files Across Various Programming Environments.- Dimensions of ICT Based Student Evaluation and Assessment in Education Sector.- Challenges to Admissibility and Reliability of Electronic Evidence in India in the age of ‘Deepfakes’.- An In-Depth Exploration of Anomaly Detection, Classification, and Localization with Deep Learning: A Comprehensive Overview.- Unveiling the Truth: A Literature Review on Leveraging Computational Linguistics for Enhanced Forensic Analysis.- Technologies and Concepts for the Next-generation Integrated Energy Services.- From Text to Voice: A Comparative Study of Machine Learning Techniques for Podcast Synthesis.- Navigating the Digital Frontier: Unravelling the Complexities and Challenges of Emerging Virtual Reality.- Artificial Intelligence and Legal Practice: Jurisprudential Foundations for Analyzing Legal Text and Predicting Outcomes.- Effectiveness of Online Education System.- Face Cursor Movement using Open CV.- Optimizing Feature Selection in Machine Learning with E-BPSO: A Dimensionality Reduction Approach.- Ranking of Documents through Smart Crawler.- Harnessing Ridge Regression and SHAP for Predicting Student Grades: An Approach towards Explainable AI in Education.- Power Point Slide Presentation Control Based on Hand Gesture.- Classifying Scanning Electron Microscope Images using Deep Convolution Neural Network.- An Efficient Kernel-SVM based Epilepsy Seizure Detection Framework utilising Power Spectrum Density.

Notă biografică

Dr. Sarika Jain has served in education for over 19 years and is currently serving at the National Institute of Technology Kurukshetra (Institute of National Importance), India. She has authored or co-authored over 150 publications including both authored and edited books. Her research interests include knowledge management and analytics, ontological engineering, knowledge graphs, and intelligent systems. She has been the principal investigator of sponsored research projects and works in collaboration with various researchers across the globe, including in Germany, Austria, Australia, Malaysia, Spain, the USA, and Romania. She serves as a reviewer for journals published by IEEE, Elsevier, and Springer. She has been involved as a program and steering committee member at many prestigious conferences in India and abroad. She is a senior member of the IEEE, a member of ACM, and a Life Member of the CSI.
Dr. Nandana Mihindukulasooriya is a Senior Research Scientist at IBM Research in New York, USA. Dr. Mihindukulasooriya holds a PhD in Artificial Intelligence (AI) from Universidad Politécnica de Madrid, Spain. His research interests include Knowledge Representation and Reasoning (KRR), Semantic Web, Linked Data, and Natural Language Processing (NLP). Dr. Mihidukulasooriya has participated in several European research projects including SEALS (FP7–238975), LIDER (FP7-610782), and 4V (TIN2013-46238). Before IBM, he was a member of the Ontology Engineering Group, Universidad Politécnica de Madrid (Spain), renowned for breakthrough innovations in Ontology Engineering, Linked Data, Data Integration, and semantic Infrastructure. Dr. Mihindukulasooriya currently serves as a Project Management Committee (PMC) member at Apache Axis & Apache Web Services projects of Apache Software Foundation.
Dr. Valentina Janev is a Senior Researcher at the Mihajlo Pupin Institute, University of Belgrade, Serbia. She has extensive experience in research, software systems development, and maintenance in different industrial domains for clients from Europe. She has published several conference and journal papers, books, and book chapters on responsible knowledge management, semantic intelligence in Big Data applications, knowledge graphs, and Big Data processing. Dr. Valentina Janev has served as an external Expert engaged by the European Commission, Research Executive Agency for the evaluation of EU research proposals and projects. She is a senior member of the IEEE. Dr. Janev has acted as a reviewer of respectable international journals including Artificial Intelligence Review (Springer), International Journal on Semantic Web and Information Systems (IGI Global), International Journal of Digital Earth (Taylor & Francis), Information Systems Management (Taylor & Francis), International Journal of Intelligent Information Systems (Science Publishing Group) and American Journal of Software Engineering and Applications (Science Publishing Group). 
Dr. Cogan Shimizu is an Assistant Professor at Wright State University, where he leads the Knowledge and Semantic Technologies (KASTLE) Lab. His research focuses on pattern-based methods for knowledge engineering and their application in neurosymbolic AI. He has authored over 75 publications, including at premier venues including the Semantic Web journal and ISWC. He is now a Managing Editor at the Semantic Web journal and on the steering committee for the K-CAP conference series.

Caracteristici

Comprises peer-reviewed papers presented during the 2nd International Semantic Intelligence Conference (ISIC) Covers semantic web engineering, ontology-based data access, multimodal and multilingual access, and many others Serves as a valuable reference resource for academics and researchers across the globe