Uncertain Spatiotemporal Data Management for the Semantic Web
Uncertain Spatiotemporal Data Management for the Semantic Web

Author: Bai, Luyi

Publisher: IGI Global

Published: 2024-03-01

Total Pages: 527

ISBN-13: 1668491095

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In the world of data management, one of the most formidable challenges faced by academic scholars is the effective handling of spatiotemporal data within the semantic web. As our world continues to change dynamically with time, nearly every aspect of our lives, from environmental monitoring to urban planning and beyond, is intrinsically linked to time and space. This synergy has given rise to an avalanche of spatiotemporal data, and the pressing question is how to manage, model, and query this voluminous information effectively. The existing approaches often fall short in addressing the intricacies and uncertainties that come with spatiotemporal data, leaving scholars struggling to unlock its full potential. Uncertain Spatiotemporal Data Management for the Semantic Web is the definitive solution to the challenges faced by academic scholars in the realm of spatiotemporal data. This book offers a visionary approach to an all-encompassing guide in modeling and querying spatiotemporal data using innovative technologies like XML and RDF. Through a meticulously crafted set of chapters, this book sheds light on the nuances of spatiotemporal data and also provides practical solutions that empower scholars to navigate the complexities of this domain effectively.

Managing and Mining Sensor Data
Managing and Mining Sensor Data

Author: Charu C. Aggarwal

Publisher: Springer Science & Business Media

Published: 2013-01-15

Total Pages: 547

ISBN-13: 1461463092

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Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale of applicability and mining of sensor data sets. The human-centric aspect of sensor data has created tremendous opportunities in integrating social aspects of sensor data collection into the mining process. Managing and Mining Sensor Data is a contributed volume by prominent leaders in this field, targeting advanced-level students in computer science as a secondary text book or reference. Practitioners and researchers working in this field will also find this book useful.

Emerging Technologies and Applications in Data Processing and Management
Emerging Technologies and Applications in Data Processing and Management

Author: Ma, Zongmin

Publisher: IGI Global

Published: 2019-06-28

Total Pages: 478

ISBN-13: 1522584471

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Advances in web technology and the proliferation of sensors and mobile devices connected to the internet have resulted in the generation of immense data sets available on the web that need to be represented, saved, and exchanged. Massive data can be managed effectively and efficiently to support various problem-solving and decision-making techniques. Emerging Technologies and Applications in Data Processing and Management is a critical scholarly publication that examines the importance of data management strategies that coincide with advancements in web technologies. Highlighting topics such as geospatial coverages, data analysis, and keyword query, this book is ideal for professionals, researchers, academicians, data analysts, web developers, and web engineers.

Handbook of Research on Innovative Database Query Processing Techniques
Handbook of Research on Innovative Database Query Processing Techniques

Author: Yan, Li

Publisher: IGI Global

Published: 2015-09-25

Total Pages: 652

ISBN-13: 1466687681

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Research and development surrounding the use of data queries is receiving increased attention from computer scientists and data specialists alike. Through the use of query technology, large volumes of data in databases can be retrieved, and information systems built based on databases can support problem solving and decision making across industries. The Handbook of Research on Innovative Database Query Processing Techniques focuses on the growing topic of database query processing methods, technologies, and applications. Aimed at providing an all-inclusive reference source of technologies and practices in advanced database query systems, this book investigates various techniques, including database and XML queries, spatiotemporal data queries, big data queries, metadata queries, and applications of database query systems. This comprehensive handbook is a necessary resource for students, IT professionals, data analysts, and academicians interested in uncovering the latest methods for using queries as a means to extract information from databases. This all-inclusive handbook includes the latest research on topics pertaining to information retrieval, data extraction, data management, design and development of database queries, and database and XM queries.

Modeling Fuzzy Spatiotemporal Data with XML
Modeling Fuzzy Spatiotemporal Data with XML

Author: Zongmin Ma

Publisher: Springer Nature

Published: 2020-03-04

Total Pages: 208

ISBN-13: 3030419991

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This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with XML. The topics covered include representation of fuzzy spatiotemporal XML data, topological relationship determination for fuzzy spatiotemporal XML data, mapping between the fuzzy spatiotemporal relational database model and fuzzy spatiotemporal XML data model, and consistencies in fuzzy spatiotemporal XML data updating. Offering a comprehensive guide to the latest research on fuzzy spatiotemporal XML data management, the book is intended to provide state-of-the-art information for researchers, practitioners, and graduate students of Web intelligence, as well as data and knowledge engineering professionals confronted with non-traditional applications that make the use of conventional approaches difficult or impossible.

Advances in Web-Age Information Management
Advances in Web-Age Information Management

Author: Xiaofeng Meng

Publisher: Springer Science & Business Media

Published: 2002-07-31

Total Pages: 459

ISBN-13: 3540440453

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This book constitutes the refereed proceedings of the Third International Conference on Web-Age Information Management, WAIM 2002 held in Beijing, China in August 2002. The 40 papers presented together with two system demonstrations were carefully reviewed and selected from 169 submissions. The papers are organized in topical sections on XML; spatio-temporal databases; data mining and learning; XML and web; workflows and e-services; bio informatics, views, and OLAP; clustering and high-dimensional data; web search; optimization and updates; and transactions and multimedia.

Digital Technologies in Modeling and Management: Insights in Education and Industry
Digital Technologies in Modeling and Management: Insights in Education and Industry

Author: Prakasha, G. S.

Publisher: IGI Global

Published: 2024-04-04

Total Pages: 427

ISBN-13: 1668495783

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Digital Technologies in Modeling and Management: Insights in Education and Industry explores the use of digital technologies in the modeling and control of complex systems in various fields, such as social networks, education, technical systems, and their protection and security. The book consists of two parts, with the first part focusing on modeling complex systems using digital technologies, while the second part deals with the digitalization of economic processes and their management. The book results from research conducted by leading universities' teaching staff and contains the results of many years of scientific experiments and theoretical conclusions. The book is for a wide range of readers, including the teaching staff of higher educational institutions, graduate students, students in computer science and modeling, and management technologies, including economics. It is also a valuable resource for IT professionals and business analysts interested in using digital technologies to model and control complex systems.

Big Data Quantification for Complex Decision-Making
Big Data Quantification for Complex Decision-Making

Author: Zhang, Chao

Publisher: IGI Global

Published: 2024-04-16

Total Pages: 328

ISBN-13:

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Many professionals are facing a monumental challenge: navigating the intricate landscape of information to make impactful choices. The sheer volume and complexity of big data have ushered in a shift, demanding innovative methodologies and frameworks. Big Data Quantification for Complex Decision-Making tackles this challenge head-on, offering a comprehensive exploration of the tools necessary to distill valuable insights from datasets. This book serves as a tool for professionals, researchers, and students, empowering them to not only comprehend the significance of big data in decision-making but also to translate this understanding into real-world decision making. The central objective of the book is to examine the relationship between big data and decision-making. It strives to address multiple objectives, including understanding the intricacies of big data in decision-making, navigating methodological nuances, managing uncertainty adeptly, and bridging theoretical foundations with real-world applications. The book's core aspiration is to provide readers with a comprehensive toolbox, seamlessly integrating theoretical frameworks, practical applications, and forward-thinking perspectives. This equips readers with the means to effectively navigate the data-rich landscape of modern decision-making, fostering a heightened comprehension of strategic big data utilization. Tailored for a diverse audience, this book caters to researchers and academics in data science, decision science, machine learning, artificial intelligence, and related domains.

Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms
Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms

Author: Singla, Babita

Publisher: IGI Global

Published: 2024-03-04

Total Pages: 239

ISBN-13:

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Academia is grappling with a pressing challenge in the 21st century that mirrors the seismic shifts taking place in the business world. These two sides of one issue are both asking the same question; how can we seamlessly incorporate metaverse platforms into the complex web of omnichannel business models? Scholars and academics are confronted with the urgent need to understand and adapt to this new digital frontier. With the rise of metaverse technologies, the boundaries between physical and virtual realms are blurring, making it increasingly vital for scholars to bridge the gap between theory and practical application. This challenge not only touches on the fields of marketing, finance, HR, supply chain, and economics but also extends to the broader implications for industries and customer experiences as we know them. At the forefront of addressing this formidable challenge is Omnichannel Approach to Co-Creating Customer Experiences Through Metaverse Platforms. This groundbreaking book tackles this pressing issue head-on, offering a comprehensive solution to the challenges that academic scholars face. By providing a holistic perspective that covers a multitude of disciplines, the book demystifies the complexities of integrating metaverse platforms into omnichannel business models. It offers a roadmap, not only for understanding these emerging technologies but also for harnessing their transformative power to create immersive and empowered customer experiences.