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Modeling Fuzzy Spatiotemporal Data With Xml


Modeling Fuzzy Spatiotemporal Data With Xml
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Modeling Fuzzy Spatiotemporal Data With Xml


Modeling Fuzzy Spatiotemporal Data With Xml
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Author : Zongmin Ma
language : en
Publisher: Springer Nature
Release Date : 2020-03-04

Modeling Fuzzy Spatiotemporal Data With Xml written by Zongmin Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-04 with Technology & Engineering categories.


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.



Fuzzy Database Modeling With Xml


Fuzzy Database Modeling With Xml
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Author : Zongmin Ma
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-06-15

Fuzzy Database Modeling With Xml written by Zongmin Ma and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-06-15 with Computers categories.


Fuzzy Database Modeling with XML aims to provide a single record of current research and practical applications in the fuzzy databases. This volume is the outgrowth of research the author has conducted in recent years. Fuzzy Database Modeling with XML introduces state-of-the-art information to the database research, while at the same time serving the information technology professional faced with a non-traditional application that defeats conventional approaches. The research on fuzzy conceptual models and fuzzy object-oriented databases is receiving increasing attention, in addition to fuzzy relational database models. With rapid advances in network and internet techniques as well, the databases have been applied under the environment of distributed information systems. It is essential in this case to integrate multiple fuzzy database systems. Since databases are commonly employed to store and manipulate XML data, additional requirements are necessary to model fuzzy information with XML. Secondly, this book maps fuzzy XML model to the fuzzy databases. Very few efforts at investigating these issues have thus far occurred. Fuzzy Database Modeling with XML is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.



Fuzzy Xml Data Management


Fuzzy Xml Data Management
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Author : Li Yan
language : en
Publisher: Springer
Release Date : 2013-11-25

Fuzzy Xml Data Management written by Li Yan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-25 with Technology & Engineering categories.


This book presents an exhaustive and timely review of key research work on fuzzy XML data management, and provides readers with a comprehensive resource on the state-of-the art tools and theories in this fast growing area. Topics covered in the book include: representation of fuzzy XML, query of fuzzy XML, fuzzy database models, extraction of fuzzy XML from fuzzy database models, reengineering of fuzzy XML into fuzzy database models, and reasoning of fuzzy XML. The book is intended as a reference guide for researchers, practitioners and graduate students working and/or studying in the field of Web Intelligence, as well as for data and knowledge engineering professionals seeking new approaches to replace traditional methods, which may be unnecessarily complex or even unproductive.



Uncertain Spatiotemporal Data Management For The Semantic Web


Uncertain Spatiotemporal Data Management For The Semantic Web
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Author : Bai, Luyi
language : en
Publisher: IGI Global
Release Date : 2024-03-01

Uncertain Spatiotemporal Data Management For The Semantic Web written by Bai, Luyi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-01 with Computers categories.


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.



Handbook Of Research On Innovative Database Query Processing Techniques


Handbook Of Research On Innovative Database Query Processing Techniques
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Author : Yan, Li
language : en
Publisher: IGI Global
Release Date : 2015-09-25

Handbook Of Research On Innovative Database Query Processing Techniques written by Yan, Li and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-25 with Computers categories.


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.



Soft Computing In Xml Data Management


Soft Computing In Xml Data Management
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Author : Zongmin Ma
language : en
Publisher: Springer
Release Date : 2010-09-07

Soft Computing In Xml Data Management written by Zongmin Ma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-07 with Technology & Engineering categories.


Being the de-facto standard for data representation and exchange over the Web, XML (Extensible Markup Language) allows the easy development of applications that exchange data over the Web. This creates a set of data management requirements involving XML. XML and related standards have been extensively applied in many business, service, and multimedia applications. As a result, a large volume of data is managed today directly in XML format. With the wide and in-depth utilization of XML in diverse application domains, some particularities of data management in concrete applications emerge, which challenge current XML technology. This is very similar with the situation that some database models and special database systems have been developed so that databases can satisfy the need of managing diverse data well. In data- and knowledge- intensive application systems, one of the challenges can be generalized as the need to handle imprecise and uncertain information in XML data management by applying fuzzy logic, probability, and more generally soft computing. Currently, two kinds of situations are roughly identified in soft computing for XML data management: applying soft computing for the intelligent processing of classical XML data; applying soft computing for the representation and processing of imprecise and uncertain XML data. For the former, soft computing can be used for flexible query of XML document as well as XML data mining, XML duplicate detection, and so on.



Fuzzy Database Modeling Of Imprecise And Uncertain Engineering Information


Fuzzy Database Modeling Of Imprecise And Uncertain Engineering Information
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Author : Zongmin Ma
language : en
Publisher: Springer
Release Date : 2008-09-12

Fuzzy Database Modeling Of Imprecise And Uncertain Engineering Information written by Zongmin Ma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-12 with Technology & Engineering categories.


Computer-based information technologies have been extensively used to help industries manage their processes and information systems hereby - come their nervous center. More specially, databases are designed to s- port the data storage, processing, and retrieval activities related to data management in information systems. Database management systems p- vide efficient task support and database systems are the key to impleme- ing industrial data management. Industrial data management requires da- base technique support. Industrial applications, however, are typically data and knowledge intensive applications and have some unique character- tics that makes their management difficult. Besides, some new techniques such as Web, artificial intelligence, and etc. have been introduced into - dustrial applications. These unique characteristics and usage of new te- nologies have put many potential requirements on industrial data mana- ment, which challenge today’s database systems and promote their evolvement. Viewed from database technology, information modeling in databases can be identified at two levels: (conceptual) data modeling and (logical) database modeling. This results in conceptual (semantic) data model and logical database model. Generally a conceptual data model is designed and then the designed conceptual data model will be transformed into a chosen logical database schema. Database systems based on logical database model are used to build information systems for data mana- ment. Much attention has been directed at conceptual data modeling of - dustrial information systems. Product data models, for example, can be views as a class of semantic data models (i. e.



Emerging Technologies And Applications In Data Processing And Management


Emerging Technologies And Applications In Data Processing And Management
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Author : Ma, Zongmin
language : en
Publisher: IGI Global
Release Date : 2019-06-28

Emerging Technologies And Applications In Data Processing And Management written by Ma, Zongmin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-28 with Computers categories.


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.



Intelligent Systems Concepts Methodologies Tools And Applications


Intelligent Systems Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2018-06-04

Intelligent Systems Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-04 with Computers categories.


Ongoing advancements in modern technology have led to significant developments in intelligent systems. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Intelligent Systems: Concepts, Methodologies, Tools, and Applications contains a compendium of the latest academic material on the latest breakthroughs and recent progress in intelligent systems. Including innovative studies on information retrieval, artificial intelligence, and software engineering, this multi-volume book is an ideal source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of intelligent systems.



Modeling And Management Of Fuzzy Semantic Rdf Data


Modeling And Management Of Fuzzy Semantic Rdf Data
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Author : Zongmin Ma
language : en
Publisher: Springer Nature
Release Date : 2022-09-08

Modeling And Management Of Fuzzy Semantic Rdf Data written by Zongmin Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-08 with Technology & Engineering categories.


This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Fuzziness widely exist in many data and knowledge intensive applications. With the increasing amount of metadata available, efficient and scalable management of massive semantic data with uncertainty is of crucial importance. This book goes to great depth concerning the fast-growing topic of technologies and approaches of modeling and managing fuzzy metadata with Resource Description Framework (RDF) format. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases. The objective of the book is to provide the state-of-the-art information to researchers, practitioners, and postgraduates students who work on the area of big data intelligence and at the same time serve as the uncertain data and knowledge engineering professional as a valuable real-world reference.