Getting Structured Data From The Internet

Download Getting Structured Data From The Internet full books in PDF, epub, and Kindle. Read online Getting Structured Data From The Internet ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Getting Structured Data from the Internet

Author : Jay M. Patel
Publisher : Apress
ISBN 13 : 9781484265758
Total Pages : 325 pages
Book Rating : 4.2/5 (657 download)

DOWNLOAD NOW!

Book Synopsis Getting Structured Data from the Internet by : Jay M. Patel

Download or read book Getting Structured Data from the Internet written by Jay M. Patel and published by Apress. This book was released on 2020-12-13 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data on the Web

Author : Serge Abiteboul
Publisher : Morgan Kaufmann
ISBN 13 : 9781558606227
Total Pages : 280 pages
Book Rating : 4.6/5 (62 download)

DOWNLOAD NOW!

Book Synopsis Data on the Web by : Serge Abiteboul

Download or read book Data on the Web written by Serge Abiteboul and published by Morgan Kaufmann. This book was released on 2000 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data model. Queries. Types. Sysems. A syntax for data. XML.. Query languages. Query languages for XML. Interpretation and advanced features. Typing semistructured data. Query processing. The lore system. Strudel. Database products supporting XML. Bibliography. Index. About the authors.

Mastering Structured Data on the Semantic Web

Author : Leslie Sikos
Publisher : Apress
ISBN 13 : 1484210492
Total Pages : 244 pages
Book Rating : 4.4/5 (842 download)

DOWNLOAD NOW!

Book Synopsis Mastering Structured Data on the Semantic Web by : Leslie Sikos

Download or read book Mastering Structured Data on the Semantic Web written by Leslie Sikos and published by Apress. This book was released on 2015-07-11 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Query Processing over Graph-structured Data on the Web

Author : M. Acosta Deibe
Publisher : IOS Press
ISBN 13 : 1614999163
Total Pages : 244 pages
Book Rating : 4.6/5 (149 download)

DOWNLOAD NOW!

Book Synopsis Query Processing over Graph-structured Data on the Web by : M. Acosta Deibe

Download or read book Query Processing over Graph-structured Data on the Web written by M. Acosta Deibe and published by IOS Press. This book was released on 2018-10-12 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last years, Linked Data initiatives have encouraged the publication of large graph-structured datasets using the Resource Description Framework (RDF). Due to the constant growth of RDF data on the web, more flexible data management infrastructures must be able to efficiently and effectively exploit the vast amount of knowledge accessible on the web. This book presents flexible query processing strategies over RDF graphs on the web using the SPARQL query language. In this work, we show how query engines can change plans on-the-fly with adaptive techniques to cope with unpredictable conditions and to reduce execution time. Furthermore, this work investigates the application of crowdsourcing in query processing, where engines are able to contact humans to enhance the quality of query answers. The theoretical and empirical results presented in this book indicate that flexible techniques allow for querying RDF data sources efficiently and effectively.

Data Architecture: A Primer for the Data Scientist

Author : W.H. Inmon
Publisher : Academic Press
ISBN 13 : 0128169176
Total Pages : 434 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Data Architecture: A Primer for the Data Scientist by : W.H. Inmon

Download or read book Data Architecture: A Primer for the Data Scientist written by W.H. Inmon and published by Academic Press. This book was released on 2019-04-30 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, analysts, and managers but also for researchers and engineers who increasingly need to deal with large and complex sets of data. Until data are gathered and can be placed into an existing framework or architecture, they cannot be used to their full potential. Drawing upon years of practical experience and using numerous examples and case studies from across various industries, the authors seek to explain this larger picture into which big data fits, giving data scientists the necessary context for how pieces of the puzzle should fit together. - New case studies include expanded coverage of textual management and analytics - New chapters on visualization and big data - Discussion of new visualizations of the end-state architecture

Metadata Basics for Web Content

Author : Michael C. Andrews
Publisher :
ISBN 13 : 9781520553467
Total Pages : 405 pages
Book Rating : 4.5/5 (534 download)

DOWNLOAD NOW!

Book Synopsis Metadata Basics for Web Content by : Michael C. Andrews

Download or read book Metadata Basics for Web Content written by Michael C. Andrews and published by . This book was released on 2017-02-16 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metadata (also known as structured data) plays a growing role in how customers and other online audiences get information. Well-defined metadata ensures that digital content is ease-to-locate, is up-to-date, can be targeted to specific needs, and can be re-used for multiple purposes by both the publishers and consumers of the content. Metadata plays a key role in SEO, content licensing, content marketing, social media visibility, analytics, and mobile app design. Metadata is most powerful when it is designed and developed in an integrated manner, where all these roles support each other. Metadata Basics for Web Content is the first comprehensive survey discussing the various kinds of metadata available to support the creation, management, delivery, and assessment of web content. The book is designed to help publishers of web content understand the many benefits of metadata, and identify what they need to do to realize these benefits.Metadata may sound like a specialized technical topic, but it affects everyone who is involved with publishing content online. Effective metadata requires the collaboration of various members of a web team. The book provides insights about metadata will be useful for web team members with different responsibilities, whether they are authors, content strategists, SEOs, web analytics professionals, user experience designers, front-end developers, or marketing experts. The book provides a foundation for publishers to develop integrated requirements relating to web metadata, so that their content can be successful in supporting a diverse range of business goals.Book features: Extensive diagrams explaining key conceptsGlossary of over 75 important termsOver 200 footnotes providing additional details and links to tutorialsSimple code examples illustrating concepts discussed. Links to resources such as important industry standards and software toolsAbout the AuthorMichael C Andrews is an American IT consultant currently based in Hyderabad, India. He started working with online metadata as a technical information specialist at the US Commerce Department in the 1980s, and was among the first wave of people whose full-time job responsibilities focused on using the Internet to access and manage published content. For the past 15 years he has worked as a consultant in the fields of user experience and content strategy. He's worked as a senior manager for content strategy with one of the world's largest digital consultancies, and has advised clients such the National Institutes of Health, Verizon and the World Bank. He has lived and worked in the US, UK, New Zealand, Italy, as well as India.Andrews has an MSc in human computer interaction from the University of Sussex in England, and a Masters with a specialization in international finance from Columbia University in New York. He also has a certificate in XML and RDF Technologies from the Library Juice Academy.

Mining the Web

Author : Soumen Chakrabarti
Publisher : Morgan Kaufmann
ISBN 13 : 1558607544
Total Pages : 366 pages
Book Rating : 4.5/5 (586 download)

DOWNLOAD NOW!

Book Synopsis Mining the Web by : Soumen Chakrabarti

Download or read book Mining the Web written by Soumen Chakrabarti and published by Morgan Kaufmann. This book was released on 2002-10-09 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: The definitive book on mining the Web from the preeminent authority.

Business Intelligence Techniques

Author : Murugan Anandarajan
Publisher : Springer Science & Business Media
ISBN 13 : 3540247009
Total Pages : 271 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Business Intelligence Techniques by : Murugan Anandarajan

Download or read book Business Intelligence Techniques written by Murugan Anandarajan and published by Springer Science & Business Media. This book was released on 2012-11-02 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given organizations the ability to capture and store data in an efficient and effective manner. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include: query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas. While these chapters stand on their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment.

Big Data, Machine Learning, and Applications

Author : Malaya Dutta Borah
Publisher : Springer Nature
ISBN 13 : 9819934818
Total Pages : 758 pages
Book Rating : 4.8/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Big Data, Machine Learning, and Applications by : Malaya Dutta Borah

Download or read book Big Data, Machine Learning, and Applications written by Malaya Dutta Borah and published by Springer Nature. This book was released on 2024-01-06 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Unstructured Data Analytics

Author : Jean Paul Isson
Publisher : John Wiley & Sons
ISBN 13 : 1119129753
Total Pages : 432 pages
Book Rating : 4.1/5 (191 download)

DOWNLOAD NOW!

Book Synopsis Unstructured Data Analytics by : Jean Paul Isson

Download or read book Unstructured Data Analytics written by Jean Paul Isson and published by John Wiley & Sons. This book was released on 2018-03-13 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Smart Trends in Computing and Communications

Author : Tomonobu Senjyu
Publisher : Springer Nature
ISBN 13 : 9819713269
Total Pages : 515 pages
Book Rating : 4.8/5 (197 download)

DOWNLOAD NOW!

Book Synopsis Smart Trends in Computing and Communications by : Tomonobu Senjyu

Download or read book Smart Trends in Computing and Communications written by Tomonobu Senjyu and published by Springer Nature. This book was released on with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Semantic Web

Author : Karl Aberer
Publisher : Springer Science & Business Media
ISBN 13 : 3540762973
Total Pages : 998 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!

Book Synopsis The Semantic Web by : Karl Aberer

Download or read book The Semantic Web written by Karl Aberer and published by Springer Science & Business Media. This book was released on 2007-10-22 with total page 998 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint 6th International Semantic Web Conference, ISWC 2007, and the 2nd Asian Semantic Web Conference, ASWC 2007, held in Busan, Korea, in November 2007. The 50 revised full academic papers and 12 revised application papers presented together with 5 Semantic Web Challenge papers and 12 selected doctoral consortium articles were carefully reviewed and selected from a total of 257 submitted papers to the academic track and 29 to the applications track. The papers address all current issues in the field of the semantic Web, ranging from theoretical and foundational aspects to various applied topics such as management of semantic Web data, ontologies, semantic Web architecture, social semantic Web, as well as applications of the semantic Web. Short descriptions of the top five winning applications submitted to the Semantic Web Challenge competition conclude the volume.

Big Data and Social Science

Author : Ian Foster
Publisher : CRC Press
ISBN 13 : 1498751431
Total Pages : 493 pages
Book Rating : 4.4/5 (987 download)

DOWNLOAD NOW!

Book Synopsis Big Data and Social Science by : Ian Foster

Download or read book Big Data and Social Science written by Ian Foster and published by CRC Press. This book was released on 2016-08-10 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.

Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health

Author : Huansheng Ning
Publisher : Springer Nature
ISBN 13 : 9811519250
Total Pages : 576 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health by : Huansheng Ning

Download or read book Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health written by Huansheng Ning and published by Springer Nature. This book was released on 2019-12-10 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Practical Web Scraping for Data Science

Author : Seppe vanden Broucke
Publisher : Apress
ISBN 13 : 1484235827
Total Pages : 313 pages
Book Rating : 4.4/5 (842 download)

DOWNLOAD NOW!

Book Synopsis Practical Web Scraping for Data Science by : Seppe vanden Broucke

Download or read book Practical Web Scraping for Data Science written by Seppe vanden Broucke and published by Apress. This book was released on 2018-04-18 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a complete and modern guide to web scraping, using Python as the programming language, without glossing over important details or best practices. Written with a data science audience in mind, the book explores both scraping and the larger context of web technologies in which it operates, to ensure full understanding. The authors recommend web scraping as a powerful tool for any data scientist’s arsenal, as many data science projects start by obtaining an appropriate data set. Starting with a brief overview on scraping and real-life use cases, the authors explore the core concepts of HTTP, HTML, and CSS to provide a solid foundation. Along with a quick Python primer, they cover Selenium for JavaScript-heavy sites, and web crawling in detail. The book finishes with a recap of best practices and a collection of examples that bring together everything you've learned and illustrate various data science use cases. What You'll Learn Leverage well-established best practices and commonly-used Python packages Handle today's web, including JavaScript, cookies, and common web scraping mitigation techniques Understand the managerial and legal concerns regarding web scraping Who This Book is For A data science oriented audience that is probably already familiar with Python or another programming language or analytical toolkit (R, SAS, SPSS, etc). Students or instructors in university courses may also benefit. Readers unfamiliar with Python will appreciate a quick Python primer in chapter 1 to catch up with the basics and provide pointers to other guides as well.

Building a Data Warehouse

Author : Vincent Rainardi
Publisher : Apress
ISBN 13 : 1430205288
Total Pages : 526 pages
Book Rating : 4.4/5 (32 download)

DOWNLOAD NOW!

Book Synopsis Building a Data Warehouse by : Vincent Rainardi

Download or read book Building a Data Warehouse written by Vincent Rainardi and published by Apress. This book was released on 2008-03-11 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is the ideal field guide for data warehousing implementation. This book first teaches you how to build a data warehouse, including defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Coverage then explains how to populate the data warehouse and explores how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. It also details testing and how to administer data warehouse operation.

E-Commerce and Web Technologies

Author : Kurt Bauknecht
Publisher : Springer
ISBN 13 : 3540317368
Total Pages : 392 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis E-Commerce and Web Technologies by : Kurt Bauknecht

Download or read book E-Commerce and Web Technologies written by Kurt Bauknecht and published by Springer. This book was released on 2005-08-31 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: We welcome you to the 6th International Conference on E-Commerce and Web Technology (EC-Web 2005) held in Copenhagen, Denmark. It was held in conjunction with DEXA 2005. This conference was organized for the first time in Greenwich, UK, in 2000, and it has been able to attract an increasing number of participants and interest, reflecting the progress made in the field. As in the five previous years, EC-Web 2005 served as a forum that brought together researchers from academia and practitioners from industry to discuss the current state of the art in e-commerce and Web technologies. We are sure that inspirations and new ideas emerged from the intensive discussions that took place during the formal sessions and social events. Keynote addresses, research presentations and discussions during the conference helped to further develop the exchange of ideas among current researchers, developers and practitioners. The conference attracted 139 paper submissions and each paper was reviewed by three Program Committee members. The Program Committee selected 39 papers for presentation and publication (an acceptance rate of 28%). And we have to confess that this task was not that easy due to the high quality of the submitted papers.