Query transformation

Xem 1-18 trên 18 kết quả Query transformation
  • Contents at a Glance Foreword About the Author About the Technical Reviewers Acknowledgments Introduction CHAPTER 1 What Do You Mean by Cost? CHAPTER 2 Tablescans CHAPTER 3 Single Table Selectivity CHAPTER 4 Simple B-tree Access CHAPTER 5 The Clustering Factor CHAPTER 6 Selectivity Issues CHAPTER 7 Histograms CHAPTER 8 Bitmap Indexes CHAPTER 9 Query Transformation CHAPTER 10 Join Cardinality CHAPTER 11 Nested Loops CHAPTER 12

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  • XQuery can be a challenging topic to teach. There is only enough time to cover what it is, what it can do, and its basic syntax, but not in any depth. This module leaves the detailed coverage of XQuery for later courses. Just as Course 1913A, Exchanging and Transforming Data Using XML and XSLT, is a fiveday course on Extensible Stylesheet Language Transformations (XSLT), it is possible to devote a full five-day course to XQuery after it is fully specified and achieves W3C Recommendation status.

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  • Những nhà phát triển có thể sử dụng LINQ với bất kỳ dữ liệu nguồn nào. Họ hoàn toàn có thể đưa ra thao tác truy vấn trong ngôn ngữ lập trình mà họ đã chọn. Những kết quả truy vấn dữ liệu được biến đổi/ sắp đặt(transform/shape) vào bên trong bất kỳ định dạng nào mà họ muốn, và sau đó họ có thể dễ dàng thao tác trên những dữ liệu đó.

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  • One of transformation's most primitive forms is the transformation of character sequences otherwise known as strings. Unlike the ancient language SNOBOL or the relatively modern Perl, XSLT was not specifically designed with string manipulation in mind. However, Chapter 1 shows that almost anything one wants to do with strings can be done within the confines of XSLT.

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  • Continuous queries are persistent queries that allow users to receive new results when they become available. While continuous query systems can transform a passive web into an active environment, they need to be able to support millions of queries due to the scale of the Internet. No existing systems have achieved this level of scalability. NiagaraCQ addresses this problem by grouping continuous queries based on the observation that many web queries share similar structures.

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  • This manual describes Oracle XML DB, and how it stores, generates, manipulates, manages, and queries XML in the database using Oracle XML DB. After introducing you to the heart of Oracle XML DB, namely the XMLType framework and Oracle XML DB repository, the manual provides a brief introduction to design criteria to consider when planning your Oracle XML DB application. It provides examples of how and where you can use Oracle XML DB.

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  • This session will introduce you to SQL Server and guide you through the installation process step-by-step. It explains hardware and software requirements and the reasons for making necessary choices along the way. The final sidebar comparing SQL Server to other major players on the database market lists the costs and benefits of various database-system implementations.

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  • Publish/subscribe systems have demonstrated the ability to scale to large numbers of users and high data rates when providing content-based data dissemination services on the Internet. However, their services are limited by the data semantics and query expressiveness that they support.

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  • These limitations arise because the P2P world is lacking in the areas of semantics, data transformation, and data relationships, yet these are some of the core strengths of the data management community. Queries, views, and integrity constraints can be used to express relationships between existing objects and to define new objects in terms of old ones. Complex queries can be posed across multiple sources, and the results of one query can be materialized and used to answer other queries.

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  • A data warehouse is a relational database designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources. It separates analysis workload from transaction workload and enables an organization to consolidate data from several sources.

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  • You must load your data warehouse regularly so that it can serve its purpose of facilitating business analysis. To do this, data from one or more operational systems must be extracted and copied into the warehouse. The process of extracting data from source systems and bringing it into the data warehouse is commonly called ETL, which stands for extraction, transformation, and loading. Materialized Views A materialized view provides access to table data by storing the results of a query in a separate schema object.

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  • The paper considers how to scale up dialogue protocols to multilogue, settings with multiple conversationalists. We extract two benchmarks to evaluate scaled up protocols based on the long distance resolution possibilities of nonsentential utterances in dialogue and multilogue in the British National Corpus. In light of these benchmarks, we then consider three possible transformations to dialogue protocols, formulated within an issue-based approach to dialogue management. We show that one such transformation yields protocols for querying and assertion that fulfill these benchmarks. ...

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  • In responding to the guidelines established by the session chairman of this panel, three of the five topics he set forth will be discussed. These include aggregate functions and quantity questions, querying semantically complex fields, and multi-file queries. As we will make clear in the sequel, the transformational apparatus utilized in the TQA Question Answering System provides a principled basis for handling these and many other problems i n natural language access to databases.

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  • If a q.a. system tries to transform an English question directly into the simplest possible formulation of the corresponding data base query, discrepancies between the English lexicon and the structure of the data base cannot be handled well. To be able to deal with such discrepancies in a systematic way, the PHLIQAI system distinguishes different levels of semantic representation; it contains modules which translate from one level to another, as well as a module which simplifies expressions within one level.

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  • In Information Retrieval (IR) in general and Question Answering (QA) in particular, queries and relevant textual content often significantly differ in their properties and are therefore difficult to relate with traditional IR methods, e.g. key-word matching. In this paper we describe an algorithm that addresses this problem, but rather than looking at it on a term matching/term reformulation level, we focus on the syntactic differences between questions and relevant text passages.

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  • This paper explores the use of clickthrough data for query spelling correction. First, large amounts of query-correction pairs are derived by analyzing users' query reformulation behavior encoded in the clickthrough data. Then, a phrase-based error model that accounts for the transformation probability between multi-term phrases is trained and integrated into a query speller system.

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  • Fuzzy databases with linguistic data based on hedge algebras were introduced, where the evaluation of queries containing linguistic data was transformed into that of traditional queries. On this new viewpoint, in this paper a notion of linear functional dependencies in these databases will be defined reasonably. The problems related to increasingly and decreasingly linear functional dependencies will be considered.

    pdf12p binhminhmuatrenngondoithonggio 09-06-2017 7 1   Download

  • Lecture Web technologies and programming – Lecture 15: CSS3. After studying this chapter you will be able to understand: Introduction to CSS3; CSS3 properties; rounded corners, box shadows; CSS3 transformations; CSS3 media queries.

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