Structured search for big data : from keywords to key-objects / Mikhail Gilula.

Format:

Book

Author/Creator:

Gilula, Mikhail, author.

Language:

English

Subjects (All):

Internet searching.

Web search engines.

Physical Description:

1 online resource (116 p.)

Edition:

1st edition

Place of Publication:

Waltham, MA : Elsevier Science, [2016]

System Details:

text file

Summary:

The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The key-object data model and KeySQL revamp the data independence principle making it applicable for Big Data and complement NoSQL with full-blown structured querying functionality. The ultimate goal is extracting Big Information from the Big Data. As a Big Data Consultant, Mikhail Gilula combines academic background with 20 years of industry experience in the database and data warehousing technologies working as a Sr. Data Architect for Teradata, Alcatel-Lucent, and PayPal, among others. He has authored three books, including The Set Model for Database and Information Systems and holds four US Patents in Structured Search and Data Integration. Conceptualizes structured search as a technology for querying multiple data sources in an independent and scalable manner. Explains how NoSQL and KeySQL complement each other and serve different needs with respect to big data Shows the place of structured search in the internet evolution and describes its implementations including the real-time structured internet search

Contents:

Cover; Title Page; Copyright Page; Dedication; Contents; Quotation; Preface; Objective; Audience; Outline of the book; US patents; Acknowledgments; Chapter 1 - Introduction to Structured Search; 1.1 - Limitations of Keyword Search; 1.2 - Keyword Search in E-Commerce; 1.3 - Limitations of Database Search; 1.4 - What is Structured Search?; Chapter 2 - Key-Objects vs. Keywords; 2.1 -Introducing Key-Objects; 2.2 - Mary's Printer ; 2.3 - Key-Objects and Instances; 2.3.1 - Key-Objects; 2.3.2 - Key-Object Instances; 2.4 - Catalogs and Query Expansion ; 2.4.1 - Querying via Key-Objects

2.4.2 - More Query Examples2.4.3 - Catalogs With Relations; 2.4.4 - Query Expansion; Chapter 3 - Key-Object Data Model; 3.1 - Key-Objects as Hereditarily-Finite Sets; 3.2 - Operations on Key-Objects; 3.2.1 - Key-Object Naming; 3.2.2 - Union; 3.2.3 - Intersection; 3.2.4 - Difference; 3.2.5 - Composition; 3.2.6 - Composition Naming Convention; 3.3 - Catalogs are Key-Objects ; 3.4 - Instances as hereditarily-finite sets; 3.4.1 - Multivalued Instances; 3.4.2 - Multiassumption; 3.4.3 - Flat Representation; 3.5 - Instances as Hereditarily-Finite Sets ; 3.5.1 - Composition; 3.5.2 - Projection

3.5.3 - Restriction3.6 - Data Stores; 3.6.1 - Heterogeneous, Homogeneous, and Flat Stores; 3.6.2 - Comparison with Relational Model; 3.7 - Operations on Stores; 3.7.1 - Union; 3.7.2 - Intersection; 3.7.3 - Difference; 3.7.4 - Filtering; 3.7.5 - Restriction; 3.7.6 - Projection; 3.7.7 - Product; 3.7.8 - Join; Chapter 4 - Structured Search Framework; 4.1 - Introduction; 4.2 - Principles; 4.2.1 - Facts, not Documents; 4.2.2 - Query Independence; 4.2.3 - Search Scalability; 4.2.4 - Precision Control; 4.2.5 - Output Order Control; 4.2.6 - Not Only for Humans; 4.2.7 - Real-Time Access

4.2.8 - Security Control4.3 - General Framework ; 4.3.1 - Basic Functions; 4.3.2 - Queries and Responses: Q-Format and R-Format ; 4.3.3 - Catalogs as Federating Namespaces; 4.3.4 - Data Providers; 4.3.5 - Adding and Removing Data Providers; 4.3.6 - Bus and Subscription Modes; 4.3.7 - Query Processing by Data Providers; 4.3.8 - Query Origination; 4.3.9 - Federative and Native Data Manipulation; 4.3.10 - Query Independence, Scalability, and Security; 4.4 - Data Store Functionality; 4.4.1 - Catalog Management; 4.4.2 - Store Manipulation; Chapter 5 - Introduction to KeySQL; 5.1 - Overview

5.1.1 - CML and SML5.1.2 - Federative and Native Sublanguages; 5.2 - Catalog Management Language; 5.2.1 - CREATE CATALOG; 5.2.1.1 - Semantics; 5.2.1.2 - Example; 5.2.2 - DROP CATALOG; 5.2.2.1 - Example; 5.2.3 - CREATE ATOMIC KEYOBJECT; 5.2.3.1 - Example; 5.2.4 - DROP ATOMIC KEYOBJECT; 5.2.4.1 - Example; 5.2.5 - CREATE NONATOMIC KEYOBJECT; 5.2.5.1 - Example; 5.2.6 - DROP NONATOMIC KEYOBJECT; 5.2.6.1 - Example; 5.2.7 - CREATE SYNONYMY; 5.2.7.1 - Example; 5.2.8 - ADD TO SYNONYMY; 5.2.8.1 - Example; 5.2.9 - REMOVE FROM SYNONYMY; 5.2.9.1 - Example; 5.2.10 - DROP SYNONYMY; 5.2.10.1 - Example

5.3 - Store Manipulation Language

Notes:

Description based upon print version of record.

Description based on online resource; title from PDF title page (ebrary, viewed September 3, 2015).

ISBN:

9780128046524

012804652X

OCLC:

922532788