Advanced Database Query Systems: Techniques, Applications and Technologies

Advanced Database Query Systems: Techniques, Applications and Technologies

Li Yan, Zongmin Ma

Copyright: © 2011 |Pages: 410

ISBN13: 9781609604752|ISBN10: 160960475X|EISBN13: 9781609604769

DOI: 10.4018/978-1-60960-475-2

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Yan, Li, and Zongmin Ma, editors. Advanced Database Query Systems: Techniques, Applications and Technologies. IGI Global, 2011. https://doi.org/10.4018/978-1-60960-475-2

APA

Yan, L. & Ma, Z. (Eds.). (2011). Advanced Database Query Systems: Techniques, Applications and Technologies. IGI Global. https://doi.org/10.4018/978-1-60960-475-2

Chicago

Yan, Li, and Zongmin Ma, eds. Advanced Database Query Systems: Techniques, Applications and Technologies. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-475-2

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Databases are designed to support data storage, processing, and retrieval activities related to data management. The use of databases in various applications has resulted in an enormous wealth of data, which populates many types of databases around the world.

Advanced Database Query Systems: Techniques, Applications and Technologies focuses on technologies and methodologies of database queries, XML and metadata queries, and applications of database query systems, aiming at providing a single account of technologies and practices in advanced database query systems. This book provides the state of the art information for academics, researchers and industry practitioners who are interested in the study, use, design and development of advanced and emerging database queries with ultimate aim of building competencies for exploiting the opportunities of the data and knowledge society.

Table of Contents

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Front Materials

Title Page

Copyright Page

Editorial Advisory Board

Preface

Acknowledgment

Chapters

Section 1

Chapter 1

Automatic Categorization of Web Database Query Results (pages 1-27)

Xiangfu Meng, Li Yan, Z. M. Ma

Web database queries are often exploratory. The users often find that their queries return too many answers and many of them may be irrelevant. Based on different kinds of user preferences, this chapter proposes a novel...

Chapter 2

Practical Approaches to the Many-Answer Problem (pages 28-84)

Mounir Bechchi, Guillaume Raschia, Noureddine Mouaddib

Database systems are increasingly used for interactive and exploratory data retrieval. In such retrievals, users’ queries often result in too many answers, so users waste significant time and efforts sifting and sorting through these...

Chapter 3

Concept-Oriented Query Language for Data Modeling and Analysis (pages 85-101)

Alexandr Savinov

This chapter describes a novel query language, called the concept-oriented query language (COQL), and demonstrates how it can be used for data modeling and analysis. The query language is based on a novel construct, called concept...

Chapter 4

Evaluating Top-k Skyline Queries Efficiently (pages 102-117)

Marlene Goncalves, María Esther Vidal

Criteria that induce a Skyline naturally represent user’s preference conditions useful to discard irrelevant data in large datasets. However, in the presence of high-dimensional Skyline spaces, the size of the Skyline can still be...

Chapter 5

Remarks on a Fuzzy Approach to Flexible Database Querying, Its Extension and Relation to Data Mining and Summarization (pages 118-139)

Janusz Kacprzyk, Guy de Tré, Slawomir Zadrozny

For an effective and efficient information search of databases, various issues should be solved. A very important one, though still usually neglected by traditional database management systems, is related to a proper representation...

Chapter 6

Flexible Querying of Imperfect Temporal Metadata in Spatial Data Infrastructures (pages 140-159)

Gloria Bordogna, Francesco Bucci, Paola Carrara, Monica Pepe, Anna Rampini

Spatial Data Infrastructures (SDI) allow users connected to the Internet to share and access remote and distributed heterogeneous geodata that are managed by their providers at their own Web sites. In SDIs, available geodata can be...

Chapter 7

Fuzzy Querying Capability at Core of a RDBMS (pages 160-184)

Ana Aguilera, José Tomás Cadenas, Leonid Tineo

This chapter is focused in incorporating the fuzzy capabilities to a relational database management system (RDBMS) of open source. The fuzzy capabilities include connectors, modifiers, comparators, quantifiers, and queries. The...

Chapter 8

An Extended Relational Model & SQL for Fuzzy Multidatabases (pages 185-219)

Awadhesh Kumar Sharma, A. Goswami, D.K. Gupta

Many real world problems involve imprecise and ambiguous information rather than crisp information. Recent trends in the database paradigm are to incorporate fuzzy sets to tackle imprecise and ambiguous information of real world...

Section 2

Chapter 9

Pattern-Based Schema Mapping and Query Answering in Peer-to-Peer XML Data Integration System (pages 221-246)

Tadeusz Pankowski

This chapter addresses the problem of data integration in a P2P environment, where each peer stores schema of its local data, mappings between the schemas, and some schema constraints. The goal of the integration is to answer queries...

Chapter 10

Deciding Query Entailment in Fuzzy OWL Lite Ontologies (pages 247-268)

Jingwei Cheng, Z. M. Ma, Li Yan

Significant research efforts in the Semantic Web community are recently directed toward the representation and reasoning with fuzzy ontologies. Description logics (DLs) are the logical foundations of standard Web ontology languages....

Chapter 11

Relational Techniques for Storing and Querying RDF Data: An Overview (pages 269-285)

Sherif Sakr, Ghazi Al-Naymat

The Resource Description Framework (RDF) is a flexible model for representing information about resources in the Web. With the increasing amount of RDF data which is becoming available, efficient and scalable management of RDF data...

Section 3

Chapter 12

Making Query Coding in SQL Easier by Implementing the SQL Divide Keyword: An Experimental Query Rewriter in Java (pages 287-303)

Eric Draken, Shang Gao, Reda Alhajj

Relational Algebra (RA) and structured query language (SQL) are supposed to have a bijective relationship by having the same expressive power. That is, each operation in SQL can be mapped to one RA equivalent and vice versa....

Chapter 13

Querying Graph Databases: An Overview (pages 304-322)

Sherif Sakr, Ghazi Al-Naymat

Recently, there has been a lot of interest in the application of graphs in different domains. Graphs have been widely used for data modeling in different application domains such as: chemical compounds, protein networks, social...

Chapter 14

Querying Multimedia Data by Similarity in Relational DBMS (pages 323-359)

Maria Camila Nardini Barioni, Daniel dos Santos Kaster, Humberto Luiz Razente, Agma J.M. Traina, Caetano Traina Júnior

Multimedia objects – such as images, audio, and video – do not present the total ordering relationship, so the relational operators (‘ ’) are not suitable to compare them. Therefore, similarity queries are the most useful, and often...

Back Materials

Compilation of References

About the Contributors

Index

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