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 Database Modeling with XML (Advances in Database Systems, 29)

Computers & Technology

Ma, Zongmin

Computer Science

Springer

A fully comprehensive examination of state-of-the-art technologies for measurement at the small scale • Highlights the advanced research work from industry and academia in micro-nano devices test technology • Written at both introductory and advanced levels, provides the fundamentals and theories • Focuses on the measurement techniques for characterizing MEMS/NEMS devices

Measurement Technology for Micro-Nanometer Devices

Chen, Jingdong

Chou, Xiujian

Zhang, Wendong

Shi, Tielin

Bao, Haifei

Chen, Liguo

Li, Dachao

Xue, Chenyang

Programming

wiley

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.

Advances In Fuzzy Object-Oriented Databases: Modeling And Applications

Collecting the latest research results from the leading researchers in the field of fuzzy object-oriented databases, Advances in Fuzzy Object-Oriented Databases: Modeling and Applications provide a single source for current research and practical applications in fuzzy object-oriented databases. This book includes major aspects of fuzzy object-oriented database modeling - conceptual, logical and physical, as well as details of implementations and applications. Readers will benefit from a complete understanding of the notions, techniques, and methods related to the research and developments of fuzzy object-oriented databases. This book can act as a starting point and a reference for their research and developments and stimulate the interest in the field of fuzzy object-oriented databases and further promote the research in the field.

IGI Global

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.&nbsp;

Modeling Fuzzy Spatiotemporal Data with XML (Studies in Computational Intelligence, 894)

Bai, Luyi

Yan, Li

Modeling Fuzzy Spatiotemporal Data with XML (Studies in Computational Intelligence)

Modeling and Management of Fuzzy Semantic RDF Data (Studies in Computational Intelligence)

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.

Modeling and Management of Fuzzy Semantic RDF Data (Studies in Computational Intelligence, 1057)

Li, Guanfeng

Ma, Ruizhe

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.

Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information (Studies in Fuzziness and Soft Computing, 195)

This book presents recent advances for imprecise and uncertain engineering information from the point of view of fuzzy database modeling. The topics include fuzzy conceptual data modeling of engineering information, conversion of the fuzzy conceptual models, and database implementation of the fuzzy conceptual data models. Some major data and database models for engineering information modeling are investigated. The main novel aspect of this book is that the book focuses on imprecise and uncertain industrial information modeling viewed from databases and fuzzy database technologies viewed from industrial applications. This may be useful for people involved in theory research, design implementation, and application development of intelligent engineering databases.

See the best price to sell, buy, or rent books by Ma, Zongmin. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Ma, Zongmin

See the best price to sell, buy, or rent books by Ma, Zongmin. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Fuzzy Database Modeling with XML (Advances in Database Systems, 29)

Measurement Technology for Micro-Nanometer Devices

Fuzzy Database Modeling with XML (Advances in Database Systems, 29)

Advances In Fuzzy Object-Oriented Databases: Modeling And Applications

Modeling Fuzzy Spatiotemporal Data with XML (Studies in Computational Intelligence, 894)

Modeling Fuzzy Spatiotemporal Data with XML (Studies in Computational Intelligence)

Modeling and Management of Fuzzy Semantic RDF Data (Studies in Computational Intelligence, 1057)

Modeling and Management of Fuzzy Semantic RDF Data (Studies in Computational Intelligence)

Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information (Studies in Fuzziness and Soft Computing, 195)

Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information (Studies in Fuzziness and Soft Computing, 195)