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| Author | : Li Yan |
| Publisher | : Springer |
| Total Pages | : 218 |
| Release | : 2013-11-25 |
| Genre | : Technology & Engineering |
| ISBN | : 3642448992 |
Download Fuzzy XML Data Management Book in PDF, ePub and Kindle
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.
| Author | : Zongmin Ma |
| Publisher | : Springer Nature |
| Total Pages | : 208 |
| Release | : 2020-03-04 |
| Genre | : Technology & Engineering |
| ISBN | : 3030419991 |
Download Modeling Fuzzy Spatiotemporal Data with XML Book in PDF, ePub and Kindle
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.
| Author | : Zongmin Ma |
| Publisher | : Springer |
| Total Pages | : 353 |
| Release | : 2010-09-07 |
| Genre | : Technology & Engineering |
| ISBN | : 3642140106 |
Download Soft Computing in XML Data Management Book in PDF, ePub and Kindle
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.
| Author | : Zongmin Ma |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 222 |
| Release | : 2006-06-15 |
| Genre | : Computers |
| ISBN | : 038724249X |
Download Fuzzy Database Modeling with XML Book in PDF, ePub and Kindle
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.
| Author | : Zongmin Ma |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 353 |
| Release | : 2010-07-07 |
| Genre | : Computers |
| ISBN | : 3642140092 |
Download Soft Computing in XML Data Management Book in PDF, ePub and Kindle
This book covers in a great depth the fast growing topic of techniques, tools and applications of soft computing in XML data management. It is shown how XML data management (like model, query, integration) can be covered with a soft computing focus. This book aims to provide a single account of current studies in soft computing approaches to XML data management. The objective of the book is to provide the state of the art information to researchers, practitioners, and graduate students of the Web intelligence, and at the same time serving the information technology professional faced with non-traditional applications that make the application of conventional approaches difficult or impossible.
| Author | : Sangeetha Veerappan |
| Publisher | : |
| Total Pages | : 118 |
| Release | : 2009 |
| Genre | : |
| ISBN | : |
Download Management of Temporal Events for Fuzzy XML Databases Book in PDF, ePub and Kindle
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 2001 |
| Genre | : |
| ISBN | : |
Download FUZZY QUERYING IN XML DATABASES. Book in PDF, ePub and Kindle
Real-world information containing subjective opinions and judgments has emerged the need to represent complex and imprecise data in databases. Additionally, the challenge of transferring information between databases whose data storage methods are not compatible has been an important research topic. Extensible Markup Language (XML) has the potential to meet these challenges since it has the ability to represent complex and imprecise data. In this thesis, an XML based fuzzy data representation and querying system is designed and implemented. The resulting system enables fuzzy querying on XML documents by using XQuery, a language used for querying XML documents. In the system, complex and imprecise data are represented using XML combined with the fuzzy representation. In addition to fuzzy querying, the system enables restructuring of XML Schemas by merging of elements of the XML documents. By using this feature of the system, one can generate a new XML Schema and new XML documents from the existing documents according to this new XML Schema. XML data used in the system are retrieved from Internet by Web Services, which can make use of XML’s capabilities to transfer data and, XML documents are stored in a native XML database management system.
| Author | : Yan, Li |
| Publisher | : IGI Global |
| Total Pages | : 652 |
| Release | : 2015-09-25 |
| Genre | : Computers |
| ISBN | : 1466687681 |
Download Handbook of Research on Innovative Database Query Processing Techniques Book in PDF, ePub and Kindle
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.
| Author | : Zongmin Ma |
| Publisher | : Springer |
| Total Pages | : 221 |
| Release | : 2008-09-12 |
| Genre | : Technology & Engineering |
| ISBN | : 3540330135 |
Download Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information Book in PDF, ePub and Kindle
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.
| Author | : Management Association, Information Resources |
| Publisher | : IGI Global |
| Total Pages | : 2351 |
| Release | : 2018-06-04 |
| Genre | : Computers |
| ISBN | : 1522556443 |
Download Intelligent Systems: Concepts, Methodologies, Tools, and Applications Book in PDF, ePub and Kindle
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.
