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Author: Ioannis G. Papakonstantinou
Publisher:
ISBN:
Category :
Languages : en
Pages : 370
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Book Description
Author: Ioannis G. Papakonstantinou
Publisher:
ISBN:
Category :
Languages : en
Pages : 370
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Book Description
Author: Valentina Janev
Publisher: Springer Nature
ISBN: 3030531996
Category : Computers
Languages : en
Pages : 212
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Book Description
This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.
Author: Athman Bouguettaya
Publisher: Springer Science & Business Media
ISBN: 1461555671
Category : Business & Economics
Languages : en
Pages : 229
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Book Description
Information systems are the backbone of many of today's computerized applications. Distributed databases and the infrastructure needed to support them have been well studied. However, this book is the first to address distributed database interoperability by examining the successes and failures, various approaches, infrastructures, and trends of the field. A gap exists in the way that these systems have been investigated by real practitioners. This gap is more pronounced than usual, partly because of the way businesses operate, the systems they have, and the difficulties created by systems' autonomy and heterogeneity. Telecommunications firms, for example, must deal with an increased demand for automation while at the same time continuing to function at their current level. While academics are focusing on investigating differences between distributed databases, federated databases, heterogeneous databases, and, more generally, among loosely connected and tightly coupled systems, those who have to deal with real problems right away know that the only relevant research is the one that will ensure that their system works to produce reasonably correct results. Interconnecting Heterogeneous Information Systems covers the underlying principles and infrastructures needed to realize truly global information systems. The book discusses technologies related to middleware, the Web, workflows, transactions, and data warehousing. It also overviews architectures with a discussion of critical issues. The book gives an overview of systems that can be viewed as learning platforms. While these systems do not translate to successful commercial realities, they push the envelope in terms of research. Successful commercial systems have benefited from the experiments conducted in these prototypes. The book includes two case studies based on the authors' own work. Interconnecting Heterogeneous Information Systems is suitable as a textbook for a graduate-level course on Interconnecting Heterogeneous Information Systems, as well as a secondary text for a graduate-level course on database or information systems, and as a reference for researchers and practitioners in industry.
Author: L. Heling
Publisher: IOS Press
ISBN: 164368261X
Category : Computers
Languages : en
Pages : 326
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Book Description
Knowledge graphs are increasingly used in scientific and industrial applications. The large number and size of knowledge graphs published as Linked Data in autonomous sources has led to the development of various interfaces to query these knowledge graphs. Therefore, effective query processing approaches that enable efficient information retrieval from these knowledge graphs need to address the capabilities and limitations of different Linked Data Fragment interfaces. This book investigates novel approaches to addressing the challenges that arise in the presence of decentralized, heterogeneous sources of knowledge graphs. The effectiveness of these approaches is empirically evaluated and demonstrated using various real world and synthetic large-scale knowledge graphs throughout. First, a sample-based approach for generating fine-grained performance profiles is proposed, and it is demonstrated how the information from such profiles can be leveraged in cost model-based query planning. In addition, a sample-based data distribution profiling approach is advocated which aims to estimate the statistical profile features of large knowledge graphs and the applicability of these estimations in federated querying processing is demonstrated. The remainder of the book focuses on techniques to devise efficient query processing approaches when heterogeneous interfaces need to be queried but no fine-grained statistics are available. Robust techniques to support efficient query processing in these circumstances are investigated and results are shared to demonstrate the way in which these techniques can outperform state-of-the-art approaches. Finally, the author describes a framework for federated query processing over heterogeneous federations of Linked Data Fragments to exploit the capabilities of different sources by defining interface-aware approaches.
Author: Tok W. Ling
Publisher: Springer Science & Business Media
ISBN: 9783540606086
Category : Business & Economics
Languages : en
Pages : 580
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Book Description
This book constitutes the refereed proceedings of the 4th International Conference on Deductive and Object-Oriented Databases, DOOD '95, held in Singapore in December 1995. Besides two keynote papers by Stefano Ceri and Michael Kifer, the book contains revised full versions of 28 papers selected from a total of 88 submissions. The volume gives a highly competent state-of-the-art report on DOOD research and advanced applications. The papers are organized in sections on active databases, query processing, semantic query optimization, transaction management, authorization, implementation, and applications.
Author: Clement T. Yu
Publisher: Morgan Kaufmann
ISBN:
Category : Computers
Languages : en
Pages : 512
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Book Description
A thorough presentation of query processing techniques in a broad range of database systems for advanced applications. Provides the most effective query processing techniques and ways to optimize the information retrieval process. Intended for database systems designers creating advanced applications.
Author: Eduardo Mena
Publisher: Springer Science & Business Media
ISBN: 146151441X
Category : Computers
Languages : en
Pages : 227
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Book Description
This work is a revision of the doctoral dissertation of Eduardo Mena pre sented to the Department of Computer Science and System Engineering at the University of Zaragoza (Spain) in November 1998 [Mena 98]. The OBSERVER system was developed as a result of this Ph.D. thesis. This book is composed of eight chapters. In Chapter 1 we introduce our rationale for writing a book about systems that process queries in global information systems. Then in Chapter 2 we review the techno logical context for our work, including distributed and heterogeneous environments and the use of ontologies. We also compare related work to our own. Chapter 3 presents our proposed global system architecture for query processing in global information systems. The main modules in the architecture and the main steps given to process a query are briefly introduced. Chapters 4 through 7 provide a detailed description of each query processing step. In Chapter 4 we detail the steps needed to access the data corre sponding to a query formulated over an ontology. All the aspects related to distribution, structural and semantic heterogeneity, and restricted query capabilities of the underlying data repositories are considered in this chapter. The main features of the mapping information that relates ontologies and data repositories are also described. Finally, we show the process of generating appropriate plans to access each involved reposi tory and the correlation of the answers coming from different reposito ries.
Author: Yahui Chang
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 36
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Book Description
Abstract: "The proliferation of database systems based on different data models and query languages has created the need for techniques that support interoperability so that information may be shared among the database systems. This dissertation proposal describes a technique to support interoperable query processing when multiple heterogeneous databases are accessed. We will focus on the problem of supporting query transformation transparently, so a user can pose queries locally, without any need of global knowledge about different data models and schema. To support interoperable query transformation, we need to resolve the conflicts (i.e., heterogeneities) between different databases. The conflicts exist because each database has been designed and populated independently of one another, so semantically equivalent concepts may have been defined in many different ways in each model/schema. Furthermore, we also need to consider the different query language utilized by each database to provide interoperability. We propose two kinds of parameterized canonical representations as a means of classifying and resolving heterogeneities. The first canonical form resolves heterogeneity based on the query language. The second canonical form resolves representation heterogeneity based on using two different schema. We initially focus on object and relational schema. The query transformation mechanism can operate on these canonical forms to produce the proper query for a heterogeneous remote database. We will describe an architecture for supporting interoperability and certain functional modules. The first module described is an extractor module (EM) which parses a source query and extracts semantics, corresponding to some primitive expressions in the query which are represented using a canonical form. The second is a heterogeneous mapping module (HTM) which maps among entities in different schema; this module uses mapping rules which reflect global knowledge of the models, schema, and query languages. We use F-logic, a high-level logic representation, to represent the global dictionary knowledge in canonical form. We wil provide some examples of transforming queries from a relational schema to an equivalent object schema. This proposal outlines several topics that need to be studied in order to solve the problems described above. The first area of investigation is the extension of the current canonical representation for source and target (transformed) queries to cover more constructs in the SQL and XSQL query languages. A second area is the extension of the canonical representation for mapping information to cover further solutions for schema conflict, in particular, conflicts among several object schemas. We describe our current prototype implementation which supports the EM and HTM modules for transforming an XSQL query to an SQL query (and vice versa). We expect to extend the functionality of these modules as we progress in our outlined research."
Author: H. Bestougeff
Publisher: Springer Science & Business Media
ISBN: 9401717699
Category : Computers
Languages : en
Pages : 253
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Book Description
Helene Bestougeff, Universite de Marne Ia Vallee, France Jacques-Emile Dubois, Universite Paris VII-Denis Diderot, France Bhavani Thuraisingham, MITRE Corporation, USA The last fifty years promoted the conceptual trio: Knowledge, Information and Data (KID) to the center of our present scientific technological and human activities. The intrusion of the Internet drastically modified the historical cycles of communication between authors, providers and users. Today, information is often the result of the interaction between data and the knowledge based on their comprehension, interpretation and prediction. Nowadays important goals involve the exchange of heterogeneous information, as many real life and even specific scientific and technological problems are all interdisciplinary by nature. For a specific project, this signifies extracting information, data and even knowledge from many different sources that must be addressed by interoperable programs. Another important challenge is that of corporations collaborating with each other and forming coalitions and partnerships. One development towards achieving this challenge is organizational hubs. This concept is new and still evolving. Much like an airport hub serving air traffic needs, organizational hubs are central platforms that provide information and collaboration specific to a group of users' needs. Now companies are creating hubs particular to certain types of industries. The users of hubs are seen as communities for which all related information is directly available without further searching efforts and often with value-added services.
Author: Barbara Catania
Publisher: Springer Science & Business Media
ISBN: 3642283233
Category : Technology & Engineering
Languages : en
Pages : 355
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Book Description
This research book presents key developments, directions, and challenges concerning advanced query processing for both traditional and non-traditional data. A special emphasis is devoted to approximation and adaptivity issues as well as to the integration of heterogeneous data sources. The book will prove useful as a reference book for senior undergraduate or graduate courses on advanced data management issues, which have a special focus on query processing and data integration. It is aimed for technologists, managers, and developers who want to know more about emerging trends in advanced query processing.
