Getting Structured Data From The Internet

Author : Jay M. Patel
Publisher : Apress
Page : 325 pages
File Size : 49,7 Mb
Release : 2020-12-13
Category : Computers
ISBN : 1484265750

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Getting Structured Data from the Internet by Jay M. Patel Pdf

Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV, Excel, JSON, or load it into a SQL database of your choice. This book goes beyond the basics of web scraping and covers advanced topics such as natural language processing (NLP) and text analytics to extract names of people, places, email addresses, contact details, etc., from a page at production scale using distributed big data techniques on an Amazon Web Services (AWS)-based cloud infrastructure. It book covers developing a robust data processing and ingestion pipeline on the Common Crawl corpus, containing petabytes of data publicly available and a web crawl data set available on AWS's registry of open data. Getting Structured Data from the Internet also includes a step-by-step tutorial on deploying your own crawlers using a production web scraping framework (such as Scrapy) and dealing with real-world issues (such as breaking Captcha, proxy IP rotation, and more). Code used in the book is provided to help you understand the concepts in practice and write your own web crawler to power your business ideas. What You Will Learn Understand web scraping, its applications/uses, and how to avoid web scraping by hitting publicly available rest API endpoints to directly get data Develop a web scraper and crawler from scratch using lxml and BeautifulSoup library, and learn about scraping from JavaScript-enabled pages using Selenium Use AWS-based cloud computing with EC2, S3, Athena, SQS, and SNS to analyze, extract, and store useful insights from crawled pages Use SQL language on PostgreSQL running on Amazon Relational Database Service (RDS) and SQLite using SQLalchemy Review sci-kit learn, Gensim, and spaCy to perform NLP tasks on scraped web pages such as name entity recognition, topic clustering (Kmeans, Agglomerative Clustering), topic modeling (LDA, NMF, LSI), topic classification (naive Bayes, Gradient Boosting Classifier) and text similarity (cosine distance-based nearest neighbors) Handle web archival file formats and explore Common Crawl open data on AWS Illustrate practical applications for web crawl data by building a similar website tool and a technology profiler similar to builtwith.com Write scripts to create a backlinks database on a web scale similar to Ahrefs.com, Moz.com, Majestic.com, etc., for search engine optimization (SEO), competitor research, and determining website domain authority and ranking Use web crawl data to build a news sentiment analysis system or alternative financial analysis covering stock market trading signals Write a production-ready crawler in Python using Scrapy framework and deal with practical workarounds for Captchas, IP rotation, and more Who This Book Is For Primary audience: data analysts and scientists with little to no exposure to real-world data processing challenges, secondary: experienced software developers doing web-heavy data processing who need a primer, tertiary: business owners and startup founders who need to know more about implementation to better direct their technical team

Author : Leslie Sikos
Publisher : Apress
Page : 244 pages
File Size : 44,5 Mb
Release : 2015-07-11
Category : Computers
ISBN : 9781484210499

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Mastering Structured Data on the Semantic Web by Leslie Sikos Pdf

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 five-star Linked Open Data, and merge your RDF graphs to the LOD Cloud. The book also covers the most important tools for generating, storing, extracting, and visualizing RDF data, including, but not limited to, Protégé, TopBraid Composer, Sindice, Apache Marmotta, Callimachus, and Tabulator. You will learn to implement Apache Jena and Sesame in popular IDEs such as Eclipse and NetBeans, and use these APIs for rapid Semantic Web application development. Mastering Structured Data on the Semantic Web demonstrates how to represent and connect structured data to reach a wider audience, encourage data reuse, and provide content that can be automatically processed with full certainty. As a result, your web contents will be integral parts of the next revolution of the Web.

Author : Leslie Sikos
Publisher : Unknown
Page : 128 pages
File Size : 40,7 Mb
Release : 2015
Category : Electronic
ISBN : 1484210514

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Mastering Structured Data on the Semantic Web by Leslie Sikos Pdf

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 five-star Linked Open Data, and merge your RDF graphs to the LOD Cloud. The book also covers the most important tools for generating, storing, extracting, and visualizing RDF data, including, but not limited to, Protégé, TopBraid Composer, Sindice, Apache Marmotta, Callimachus, and Tabulator. You will learn to implement Apache Jena and Sesame in popular IDEs such as Eclipse and NetBeans, and use these APIs for rapid Semantic Web application development. Mastering Structured Data on the Semantic Web demonstrates how to represent and connect structured data to reach a wider audience, encourage data reuse, and provide content that can be automatically processed with full certainty. As a result, your web contents will be integral parts of the next revolution of the Web.

Author : Malaya Dutta Borah,Dolendro Singh Laiphrakpam,Nitin Auluck,Valentina Emilia Balas
Publisher : Springer Nature
Page : 758 pages
File Size : 53,9 Mb
Release : 2024-01-06
Category : Computers
ISBN : 9789819934812

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Big Data, Machine Learning, and Applications by Malaya Dutta Borah,Dolendro Singh Laiphrakpam,Nitin Auluck,Valentina Emilia Balas Pdf

This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.

Author : Tomonobu Senjyu
Publisher : Springer Nature
Page : 515 pages
File Size : 48,7 Mb
Release : 2024-07-02
Category : Electronic
ISBN : 9789819713264

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Smart Trends in Computing and Communications by Tomonobu Senjyu Pdf

Author : Jean Paul Isson
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 43,8 Mb
Release : 2018-03-02
Category : Computers
ISBN : 9781119325505

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Unstructured Data Analytics by Jean Paul Isson Pdf

Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.

Author : Leonard Barolli,Elis Kulla,Makoto Ikeda
Publisher : Springer Nature
Page : 478 pages
File Size : 55,9 Mb
Release : 2022-02-01
Category : Computers
ISBN : 9783030959036

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Advances in Internet, Data & Web Technologies by Leonard Barolli,Elis Kulla,Makoto Ikeda Pdf

This book presents original contributions to the theories and practices of emerging Internet, data, and Web technologies and their applicability in businesses, engineering, and academia. Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and Web technologies are two most prominent paradigms, in a variety of forms such as Data Centers, Cloud Computing, Mobile Cloud, Mobile Web Services, and so on. These technologies altogether create a digital ecosystem whose corner stone is the data cycle, from capturing to processing, analysis, and visualization. The investigation of various research and development issues in this digital ecosystem is boosted by the ever-increasing needs of real-life applications, which are based on storing and processing large amounts of data. As a key feature, it addresses advances in the life cycle exploitation of data generated from the digital ecosystem data technologies that create value for the knowledge and businesses toward a collective intelligence approach. Researchers, software developers, practitioners, and students interested in the field of data and Web technologies find this book useful and a reference for their activity.

Author : Prasad, A.V. Krishna
Publisher : IGI Global
Page : 332 pages
File Size : 53,9 Mb
Release : 2017-08-11
Category : Computers
ISBN : 9781522529484

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Exploring the Convergence of Big Data and the Internet of Things by Prasad, A.V. Krishna Pdf

The growth of Internet use and technologies has increased exponentially within the business sector. When utilized properly, these applications can enhance business functions and make them easier to perform. Exploring the Convergence of Big Data and the Internet of Things is a pivotal reference source featuring the latest empirical research on the business use of computing devices to send and receive data in conjunction with analytic applications to reduce maintenance costs, avoid equipment failures, and improve business operations. Including research on a broad range of topics such as supply chain, aquaculture, and speech recognition systems, this book is ideally designed for researchers, academicians, and practitioners seeking current research on various technology uses in business.

Author : Huansheng Ning
Publisher : Springer Nature
Page : 576 pages
File Size : 53,7 Mb
Release : 2019-12-10
Category : Computers
ISBN : 9789811519253

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Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health by Huansheng Ning Pdf

This two-volume set (CCIS 1137 and CCIS 1138) constitutes the proceedings of the Third International Conference on Cyberspace Data and Intelligence, Cyber DI 2019, and the International Conference on Cyber-Living, Cyber-Syndrome, and Cyber-Health, CyberLife 2019, held under the umbrella of the 2019 Cyberspace Congress, held in Beijing, China, in December 2019. The 64 full papers presented together with 18 short papers were carefully reviewed and selected from 160 submissions. The papers are grouped in the following topics: cyber data, information and knowledge; cyber and cyber-enabled intelligence; communication and computing; cyber philosophy, cyberlogic and cyber science; and cyber health and smart healthcare.

Author : Hui-Huang Hsu,Chuan-Yu Chang,Ching-Hsien Hsu
Publisher : Morgan Kaufmann
Page : 326 pages
File Size : 51,6 Mb
Release : 2017-02-02
Category : Computers
ISBN : 9780128096253

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Big Data Analytics for Sensor-Network Collected Intelligence by Hui-Huang Hsu,Chuan-Yu Chang,Ching-Hsien Hsu Pdf

Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Contains contributions from noted scholars in computer science and electrical engineering from around the globe Provides a broad overview of recent developments in sensor collected intelligence Edited by a team comprised of leading thinkers in big data analytics

Author : Nikesh Lalchandani
Publisher : Innovations Accelerated
Page : 608 pages
File Size : 53,5 Mb
Release : 2020-09-11
Category : Business & Economics
ISBN : 9780648882435

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Payments and Banking in Australia by Nikesh Lalchandani Pdf

This book will: · Challenge the assumption that banks will continue to control payments and the flow of money. · Point to the chinks in their armour and where the opportunities lie. · Examine the technologies and approaches that have begun to disrupt and transform the current model. · Arm you with the knowledge you need to make sense of and navigate this critical industry, as it transforms in innovative and valuable ways. For the first time in Australian financial history, this book brings together in one place what is under the hood of the Australian payments, money and banking systems, and is a must-read for anyone needing a solid understanding of this critical space. Told as a story, this is an inspiring and captivating treatise on how Australia’s systems work and where the future lies.

Author : Parteek Bhatia
Publisher : Cambridge University Press
Page : 513 pages
File Size : 41,7 Mb
Release : 2019-06-27
Category : Computers
ISBN : 9781108727747

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Data Mining and Data Warehousing by Parteek Bhatia Pdf

Provides a comprehensive textbook covering theory and practical examples for a course on data mining and data warehousing.

Author : Hongzhi Wang,Haoliang Qi,Wanxiang Che,Zhaowen Qiu,Leilei Kong,Zhongyuan Han,Junyu Lin,Zeguang Lu
Publisher : Springer
Page : 500 pages
File Size : 43,5 Mb
Release : 2014-12-29
Category : Computers
ISBN : 9783662462485

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Intelligent Computation in Big Data Era by Hongzhi Wang,Haoliang Qi,Wanxiang Che,Zhaowen Qiu,Leilei Kong,Zhongyuan Han,Junyu Lin,Zeguang Lu Pdf

This book constitutes the refereed proceedings of the International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, held in Harbin, China, in January 2015. The 61 revised full papers presented were carefully reviewed and selected from 200 submissions. The papers cover a wide range of topics related to intelligent computation in Big Data era, such as artificial intelligence, machine learning, algorithms, natural language processing, image processing, MapReduce, social network.

Author : Sudip Misra,Anandarup Mukherjee,Arijit Roy
Publisher : Cambridge University Press
Page : 425 pages
File Size : 51,7 Mb
Release : 2021-06-10
Category : Computers
ISBN : 9781108842952

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Introduction to IoT by Sudip Misra,Anandarup Mukherjee,Arijit Roy Pdf

A valuable guide for new and experienced readers, featuring the complex and massive world of IoT and IoT-based solutions.

Author : Hsin-Hsi Chen,Gobinda Chowdhury
Publisher : Springer
Page : 389 pages
File Size : 45,5 Mb
Release : 2012-11-02
Category : Computers
ISBN : 9783642347528

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The Outreach of Digital Libraries: A Globalized Resource Network by Hsin-Hsi Chen,Gobinda Chowdhury Pdf

This book constitutes the refereed proceedings of the 14th International Conference on Asia-Pacific Digital Libraries, ICADL 2012, held in Taipei, China, in November 2012. The 27 revised full papers, 17 revised short papers, and 13 poster papers were carefully reviewed and selected from 93 submissions. The papers are organized in topical sections on cultural heritage preservation, retrieval and browsing in digital libraries, biliometrics, metadata and cataloguing, mobile and cloud computing, human factors in digital library, presevation systems and algorithms, social media, digital library algorithms and systems, recommendation applications and social networks.