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Mastering Structured Data on the Semantic Web

Mastering Structured Data on the Semantic Web

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A major limitation of conventional web sites is their unorganized and isolated contents, which is created mainly for human consumption. This limitation can be addressed by organizing and publishing data, using powerful formats that add structure and meaning to the content of web pages and link related data to one another. Computers can "understand" such data better, which can be useful for task automation. The web sites that provide semantics (meaning) to software agents form the Semantic Web, the Artificial Intelligence extension of the World Wide Web. In contrast to the conventional Web (the "Web of Documents"), the Semantic Web includes the "Web of Data", which connects "things" (representing real-world humans and objects) rather than documents meaningless to computers. Mastering Structured Data on the Semantic Web explains the practical aspects and the theory behind the Semantic Web and how structured data, such as HTML5 Microdata and JSON-LD, can be used to improve your site's performance on next-generation Search Engine Result Pages and be displayed on Google Knowledge Panels. You will learn how to represent arbitrary fields of human knowledge in a machine-interpretable form using the Resource Description Framework (RDF), the cornerstone of the Semantic Web. You will see how to store and manipulate RDF data in purpose-built graph databases such as triplestores and quadstores, that are exploited in Internet marketing, social media, and data mining, in the form of Big Data applications such as the Google Knowledge Graph, Wikidata, or Facebook's Social Graph. With the constantly increasing user expectations in web services and applications, Semantic Web standards gain more popularity. This book will familiarize you with the leading controlled vocabularies and ontologies and explain how to represent your own concepts. After learning the principles of Linked Data, the five-star deployment scheme, and the Open Data concept, you will be able to create and interlink fi
Advanced Standard SQL Dynamic Structured Data Modeling and Hierarchical Processing

Advanced Standard SQL Dynamic Structured Data Modeling and Hierarchical Processing

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Based on the Artech House classic ANSI SQL Data Modeling and Structure Processing, this expanded and updated book offers you an essential tool for utilizing the ANSI SQL outer join operation to perform simple or complex hierarchical data modeling and structure processing. The book provides you with a comprehensive review of the outer join operation, its powerful syntax and semantics, and new features and capabilities. This revised resource introduces several important new concepts such as relationship and hierarchical integration at the hierarchical processing level, multipath hierarchical automatic XML query processing, dynamic structured data processing using automatic metadata maintenance, and advanced data transformations. Featuring more than 230 illustrations, the book shows you how to tap the full power of data structure extraction technology that gathers data structure meta information naturally embedded in ANSI SQL specifications. You discover existing, but previously unknown, SQL capabilities for improving performance. The book explains how to perform multitable outer joins and combine relational structures with hierarchical structures. Moreover you learn how to establish a default database standard for hierarchical data modeling and structure processing.
Semantic Keyword-Based Search on Structured Data Sources

Semantic Keyword-Based Search on Structured Data Sources

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This book constitutes the thoroughly refereed post-conference proceedings of the Second COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016, held in Cluj-Napoca, Romania, in September 2016. The 15 revised full papers and 2 invited papers are reviewed and selected from 18 initial submissions and cover the areas of keyword extraction, natural language searches, graph databases, information retrieval techniques for keyword search and document retrieval.
Semantic Keyword-based Search on Structured Data Sources

Semantic Keyword-based Search on Structured Data Sources

https://www.kobo.com/us/en/ebook/semantic-keyword-based-sear...
This book constitutes the thoroughly refereed post-conference proceedings of the First COST Action IC1302 International KEYSTONE Conference on semantic Keyword-based Search on Structured Data Sources, IKC 2015, held in Coimbra, Portugal, in September 2015. The 13 revised full papers, 3 revised short papers, and 2 invited papers were carefully reviewed and selected from 22 initial submissions. The paper topics cover techniques for keyword search, semantic data management, social Web and social media, information retrieval, benchmarking for search on big data.
Everyday Data Structures

Everyday Data Structures

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A practical guide to learning data structures simply and easilyAbout This BookThis book is a very practical, friendly, and useful guide that will help you analyze problems and choose the right data structures for your solutionLearn to recognize data patterns for determining which structures apply to a given problemExplore the unique rules or "gotchas" that will help you become an excellent programmerWho This Book Is ForIf you're self-taught programmers in any language who wants to gain a solid understanding of data structures and how to use them to solve real-world problems in your day-to-day development work, then this book is for you. What You Will LearnA rapid overview of data types, applications for each type, best practices and high-level variations between platformsReview the most common data structures and build working examples in the languages used for mobile platform software developmentUnderstand advanced data structure concepts such as generic collections, searching and sorting algorithms, and recursionLearn to use Stacks (LIFO) and queues (FIFO) in your daily applicationAdd/remove objects and nest arrays and dictionaries within another dictionary and understand why such architecture is often preferred or necessaryGet acquainted with the tree structures such as heap, binary, and graphs, apply them to workUnleash the power of different sorting techniques such as bubble sort, quick sort, merge sort, insertion sort, and radix sortPerform searching operations on arrays, heaps, graphs, and binary trees in different languagesIn DetailIf you want to learn different data structures and their real-world applications quickly through practical examples, then Everyday Data Structures is for you. This book can introduce you to new data structures and their potential applications through examples in languages common to mobile software development on the most popular platforms. The examples are presented with real-world concepts using language that everyone will underst
Data Structures Demystified

Data Structures Demystified

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Whether you are an entry-level or seasoned designer or programmer, learn all about data structures in this easy-to-understand, self-teaching guide that can be directly applied to any programming language. From memory and addresses to hashtables, authors Keogh and Davidson, provide clear explanations that demystify this "algebra of programming.
Data Structures And Algorithms Made Easy.

Data Structures And Algorithms Made Easy.

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A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry. Introduction Recursion and Backtracking Linked Lists Stacks Queues Trees Priority Queue and Heaps Disjoint Sets ADT Graph Algorithms Sorting Searching Selection Algorithms [Medians] Symbol Tables Hashing String Algorithms Algorithms Design Techniques Greedy Algorithms Divide and Conquer Algorithms Dynamic Programming Complexity Classes Miscellaneous Concepts
Advanced Data Structures

Advanced Data Structures

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This text closely examines ideas, analysis, and implementation details of data structures as a specialised topic in applied algorithms. It looks at efficient ways to realise query and update operations on sets of numbers, intervals, or strings by various data structures, including: search trees; structures for sets of intervals or piece-wise constant functions; orthogonal range search structures; heaps; union-find structures; dynamization and persistence of structures; structures for strings; and hash tables. Instead of relegating data structures to trivial material used to illustrate object-oriented programming methodology, this is the first volume to show data structures as a crucial algorithmic topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text.
Data Structure in Cognitive Metaphor Research

Data Structure in Cognitive Metaphor Research

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This collection of papers focuses on cognitive metaphor research (CMR) from the perspective of the current debate on linguistic data and evidence. The peculiarity of the book is that it reveals the causes that trigger the methodological problems of data handling in CMR. These problems include the identifiability of metaphors in discourse and the reliability of the methods of gathering metaphors such as linguistic intuition, discourse analysis, corpus analysis, and psycholinguistic experiments. In order to overcome their weaknesses and to enhance their reliance, the papers argue, on the one hand, for the combination of different methods of gathering and evaluating data in CMR. On the other hand, the papers also point out that converging evidence cannot be obtained without constraining the combinability of data stemming from different sources.
Purely Functional Data Structures

Purely Functional Data Structures

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Most books on data structures assume an imperative language like C or C++. However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme. This book describes data structures from the point of view of functional languages, with examples, and presents design techniques so that programmers can develop their own functional data structures. It includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages. All source code is given in Standard ML and Haskell, and most of the programs can easily be adapted to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.
Visualizing Data Structures

Visualizing Data Structures

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This book is intended for an introductory data structures class, either as a supplement to a traditional textbook or as a stand-alone resource. The intended audience is second-semester computer science students with knowledge of programming in C or C++. The focus is on fundamental concepts of data structures and algorithms and providing the necessary detail for students to implement the data structures presented. Basic data structures, including arrays, stacks, queues, linked lists, trees, binary search trees, tree balancing, hash tables, and graphs are presented, including the operations on those data structures. The algorithms are presented in a language that could be called "pseudocode with C++ tendencies." In many cases, basic C++ is also provided. Sorting algorithms and an introduction to complexity analysis and Big-Oh notation are also included. Each chapter includes numerous pictures depicting the data structures and how the basic operations on the structures modify their contents.
Compact Data Structures

Compact Data Structures

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Compact data structures help represent data in reduced space while allowing it to be queried, navigated, and operated in compressed form. They are essential tools for efficiently handling massive amounts of data by exploiting the memory hierarchy. They also reduce the resources needed in distributed deployments and make better use of the limited memory in low-end devices. The field has developed rapidly, reaching a level of maturity that allows practitioners and researchers in application areas to benefit from the use of compact data structures. This first comprehensive book on the topic focuses on the structures that are most relevant for practical use. Readers will learn how the structures work, how to choose the right ones for their application scenario, and how to implement them. Researchers and students in the area will find in the book a definitive guide to the state of the art in compact data structures.
Java 9 Data Structures and Algorithms

Java 9 Data Structures and Algorithms

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Gain a deep understand of the complexity of data structures and algorithms and write more efficient codeAbout This BookThis book provides complete coverage of reactive and functional data structuresBased on the latest version of Java 9, this book illustrates the impact of new features on data structuresGain exposure to important concepts such as Big-O Notation and Dynamic ProgrammingWho This Book Is ForThis book is for Java developers who want to learn about data structures and algorithms. Basic knowledge of Java is assumed. What you will learnUnderstand the fundamentals of algorithms, data structures, and measurement of complexityFind out what general purpose data structures are, including arrays, linked lists, double ended linked lists, and circular listsGet a grasp on the basics of abstract data types-stack, queue, and double ended queueSee how to use recursive functions and immutability while understanding and in terms of recursionHandle reactive programming and its related data structuresUse binary search, sorting, and efficient sorting-quicksort and merge sortWork with the important concept of trees and list all nodes of the tree, traversal of tree, search trees, and balanced search treesApply advanced general purpose data structures, priority queue-based sorting, and random access immutable linked listsGain a better understanding of the concept of graphs, directed and undirected graphs, undirected trees, and much moreIn DetailJava 9 has come out with several fantastic features including significant performance improvements, making it faster than ever. This book will teach you to organize data in an efficient way while exploiting the new features of Java 9 data structures. We will also cover classical, functional, and reactive data structures, giving you the ability to understand computational complexity, solve problems, and write efficient code. We start off with the basics of algorithms and data structures, helping you understand the fundamentals and measure c
Automatic Coding: Choice of Data Structures

Automatic Coding: Choice of Data Structures

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1.0 2 information structures, and the runtime efficiency available using lower level data structures. We believe these runtime inefficiencies can be remedied by providing a library of representations for the information structures and a user assisted automatic system to choose appropriate elements from this library for the user's programs. The main problems in such an automatic approach are: 1). Building a library of representations; 2). Characterizing the properties of these representations; 3). understanding how the user's program actually uses the abstract information structures; and -4). efficiently matching the user program needs with the properties of the known representations. The research reported here is an attempt to demonstrate the feasibility of such automatic representation selection. We allow the user to express data in terms of relations, sets, and sequences. Our system then obtains information by analysis of the program, execution statement profiles and interrogation of the user. Using that information, the system selects efficient (in terms of time and space) low level implementations for the user's information structures from a fixed library of information structure representations. Though we have considered only a few abstract information structures (those available in our programming language, SAIL) we believe the techniques used in this system are generally applicable.
Data Structures and Algorithms Programs

Data Structures and Algorithms Programs

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all about data structures and algorithms programs easily robust way.A data structure is a particular way of storing and organizing data in a computer so that it can be used efficiently. Different kinds of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks. For example, B-trees are particularly well-suited for implementation of databases, while compiler implementations usually use hash tables to look up identifiers. Algorithms: These are the methods that perform useful computations, such as searching and sorting, on objects that implement collection interfaces. The algorithms are said to be polymorphic: that is, the same method can be used on many different implementations of the appropriate collection interface. In essence, algorithms are reusable functionality. Good Programs There are a number of facets to good programs: they must run correctly run efficiently be easy to read and understand be easy to debug and be easy to modify. adanced data structures and algorithms lab programs in java, data structures and algorithms programs ebook, advanced data structures and algorithms lab programs in java, advanced data structures and algorithms lab manual using java, advanced data structures and algorithms in java pdf, advanced data structures and algorithms in java notes, advanced data structures and algorithms in java ppt, advanced data structures and algorithms books, data structures and algorithms made easy,
Data Structures Using C++

Data Structures Using C++

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Facts101 is your complete guide to Data Structures Using C++. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
C++ Plus Data Structures

C++ Plus Data Structures

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Facts101 is your complete guide to C++ Plus Data Structures. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
Data Structures and Algorithm Analysis in C

Data Structures and Algorithm Analysis in C

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Facts101 is your complete guide to Data Structures and Algorithm Analysis in C. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
Fundamentals of Python, From First Programs through Data Structures

Fundamentals of Python, From First Programs through Data Structures

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Facts101 is your complete guide to Fundamentals of Python, From First Programs through Data Structures. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
Data Structures and Problem Solving Using Java

Data Structures and Problem Solving Using Java

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Facts101 is your complete guide to Data Structures and Problem Solving Using Java. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.
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