Web Data APIs for Knowledge Graphs: Easing Access to Semantic Data for Application Developers, Meroсo-Peсuela Albert, Lisena Pasquale, Martнnez-Ortiz Carlos
This book describes a set of methods, architectures, and tools to extend the data pipeline at the disposal of developers when they need to publish and consume data from Knowledge Graphs (graph-structured knowledge bases that describe the entities and relations within a domain in a semantically meaningful way) using SPARQL, Web APIs, and JSON. To do so, it focuses on the paradigmatic cases of two middleware software packages, grlc and SPARQL Transformer, which automatically build and run SPARQL-based REST APIs and allow the specification of JSON schema results, respectively.
The authors highlight the underlying principles behind these technologies—query management, declarative languages, new levels of indirection, abstraction layers, and separation of concerns—, explain their practical usage, and describe their penetration in research projects and industry.
The book, therefore, serves a double purpose: to provide a sound and technical description of tools and methods at the disposal of publishers and developers to quickly deploy and consume Web Data APIs on top of Knowledge Graphs; and to propose an extensible and heterogeneous Knowledge Graph access infrastructure that accommodates a growing ecosystem of querying paradigms.
Автор: Yue, Kun (yunnan Univ, China) Liu, Weiyi (yunnan Univ, China) Wu, Hao (yunnan Univ, China) Название: Discovery and fusion of uncertain knowledge in data ISBN: 9813227125 ISBN-13(EAN): 9789813227125 Издательство: World Scientific Publishing Рейтинг: Цена: 81310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent systems to support the real world applications. However, the process involves knowledge acquisition, representation, inference and data, Bayesian network (BN) is the key technology plays a key role in knowledge representation, in order to pave way to cope with incomplete, fuzzy data to solve the real-life problems.
This book presents Bayesian network as a technology to support data-intensive and incremental learning in knowledge discovery, inference and data fusion in uncertain environment.
In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them.
In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.
After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis.
What You Will Learn
Import data with readrWork with categories using forcats, time and dates with lubridate, and strings with stringrFormat data using tidyr and then transform that data using magrittr and dplyrWrite functions with R for data science, data mining, and analytics-based applicationsVisualize data with ggplot2 and fit data to models using modelr
Who This Book Is For
Programmers new to R's data science, data mining, and analytics packages. Some prior coding experience with R in general is recommended.
Автор: Kazil Jacqueline, Jarmul Katharine Название: Data Wrangling with Python ISBN: 1491948817 ISBN-13(EAN): 9781491948811 Издательство: Wiley Рейтинг: Цена: 42230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that`s initially too messy or difficult to access.
Название: Linked data and knowledge graph ISBN: 3642540244 ISBN-13(EAN): 9783642540240 Издательство: Springer Рейтинг: Цена: 52170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the Seventh Chinese Semantic Web Symposium and the Second Chinese Web Science Conference, CSWS 2013, held in Shanghai, China in August 2013. The 14 revised full papers presented together with 6 short papers and 3 poster papers were carefully reviewed and selected from 48 submissions.
Автор: Maurizio Vichi; Otto Opitz Название: Classification and Data Analysis ISBN: 3540656332 ISBN-13(EAN): 9783540656333 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proceedings of the Biannual Meeting of the Classification Group of Societa Italiana di Statistica (SIS), Pescara, July 3-4, 1997
Автор: Angermann Название: Taxonomy Matching Using Background Knowledge ISBN: 3319722085 ISBN-13(EAN): 9783319722085 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches.
Автор: Wan, Cen Название: Hierarchical feature selection for knowledge discovery ISBN: 3319979183 ISBN-13(EAN): 9783319979182 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is the first work that systematically describes the procedure of data mining and knowledge discovery on Bioinformatics databases by using the state-of-the-art hierarchical feature selection algorithms. The novelties of this book are three-fold. To begin with, this book discusses the hierarchical feature selection in depth, which is generally a novel research area in Data Mining/Machine Learning. Seven different state-of-the-art hierarchical feature selection algorithms are discussed and evaluated by working with four types of interpretable classification algorithms (i.e. three types of Bayesian network classification algorithms and the k-nearest neighbours classification algorithm). Moreover, this book discusses the application of those hierarchical feature selection algorithms on the well-known Gene Ontology database, where the entries (terms) are hierarchically structured. Gene Ontology database that unifies the representations of gene and gene products annotation provides the resource for mining valuable knowledge about certain biological research topics, such as the Biology of Ageing. Furthermore, this book discusses the mined biological patterns by the hierarchical feature selection algorithms relevant to the ageing-associated genes. Those patterns reveal the potential ageing-associated factors that inspire future research directions for the Biology of Ageing research.
Автор: Gabor Andras, Kő Andrea Название: Corporate Knowledge Discovery and Organizational Learning: The Role, Importance, and Application of Semantic Business Process Management ISBN: 3319804561 ISBN-13(EAN): 9783319804569 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Corporate Knowledge Discovery and Organizational Learning - The Role, Importance, and Application of Semantic Business Process Management - The ProKEX Case.- Corporate Semantic Business Process Management.- ProMine: A Text Mining Solution for Concept Extraction and Filtering.- STUDIO - Ontology-Centric Knowledge-Based System.- Ontology Tailoring for Job Role Knowledge.- STUDIO: A Solution on Adaptive Testing.- Future Development: Towards Semantic Compliance Checking.
Автор: Angermann Heiko, Ramzan Naeem Название: Taxonomy Matching Using Background Knowledge: Linked Data, Semantic Web and Heterogeneous Repositories ISBN: 331989157X ISBN-13(EAN): 9783319891576 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This important text/reference presents a comprehensive review of techniques for taxonomy matching, discussing matching algorithms, analyzing matching systems, and comparing matching evaluation approaches.
Автор: Vaddeman Название: Beginning Apache Pig ISBN: 1484223365 ISBN-13(EAN): 9781484223369 Издательство: Springer Рейтинг: Цена: 25150.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics. Beginning Apache Pig shows you how Pig is easy to learn and requires relatively little time to develop big data applications.
The book is divided into four parts: the complete features of Apache Pig; integration with other tools; how to solve complex business problems; and optimization of tools.
You'll discover topics such as MapReduce and why it cannot meet every business need; the features of Pig Latin such as data types for each load, store, joins, groups, and ordering; how Pig workflows can be created; submitting Pig jobs using Hue; and working with Oozie. You'll also see how to extend the framework by writing UDFs and custom load, store, and filter functions. Finally you'll cover different optimization techniques such as gathering statistics about a Pig script, joining strategies, parallelism, and the role of data formats in good performance.
What You Will Learn
• Use all the features of Apache Pig
• Integrate Apache Pig with other tools
• Extend Apache Pig
• Optimize Pig Latin code
• Solve different use cases for Pig Latin
Who This Book Is For
All levels of IT professionals: architects, big data enthusiasts, engineers, developers, and big data administrators
Автор: Zhang Rong Et Al Название: Review Comment Analysis For E-Commerce ISBN: 9813100044 ISBN-13(EAN): 9789813100046 Издательство: World Scientific Publishing Рейтинг: Цена: 79200.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents the recent achievements on the processing of representative user generated content (UGC) on E-commerce websites. This large size of UGC is valuable information for data mining to help customer/object profiling. It provides a comprehensive overview on the concept of customer credibility, object-oriented review summarization technology and content-based collaborative filtering algorithm. It covers a feedback mechanism which is designed to discover customer credibility, which is used to define the professional degree of review content; product-oriented review summarization for restaurants or trip arrangements, and introduced content-based collaborative filtering for product recommendation.
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