Google Tools for Special Needs by - Eric Curts
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Knowledge Graphs
KNOWLEDGE GRAPHS Lecture 1: Introduction and Motivation Markus Krotzsch¨ Knowledge-Based Systems TU Dresden, 16th Oct 2018 Introduction and Organisation Markus Krötzsch, 16th Oct 2018 Knowledge Graphs slide 2 of 25 Course Tutors Markus Krötzsch Maximilian Marx Lectures Exercises Markus Krötzsch, 16th Oct 2018 Knowledge Graphs slide 3 of 25 Organisation Lectures Tuesday, DS 3 (11:10–12:40), APB E005 Exercise Sessions (starting 23 October) Tuesday, DS 5 (14:50–16:20), APB E005 Web Page https://iccl.inf.tu-dresden.de/web/Knowledge_Graphs_(WS2018/19) Lecture Notes Slides of current and past lectures will be online. Modules INF-B-510, INF-B-520, INF-BAS6, INF-E-3, INF-PM-FOR, INF-VERT6, MCL-KR, MCL-TCSL – anything else? Markus Krötzsch, 16th Oct 2018 Knowledge Graphs slide 4 of 25 Goals and Prerequisites Goals • Introduce basic notions of graph-based knowledge representation(s) • Study important graph data management approaches (RDF, Property Graph) and query languages • Learn about relevant methods, tools, and datasets • Discuss aspects of modelling and quality assurance (Non-)Prerequisites • No particular prior courses needed • Basic programming skills are assumed; practical experience beyond basic courses will be helpful • Interesting optional synergies: databases, machine learning, social networks, graph theory Markus Krötzsch, 16th Oct 2018 Knowledge Graphs slide 5 of 25 Motivation Markus Krötzsch, 16th Oct 2018 Knowledge Graphs slide 6 of 25 The Hype (c) 2018 Gartner, Inc. All rights reserved. Markus Krötzsch, 16th Oct 2018 Knowledge Graphs slide 7 of 25 Knowledge Graphs Everywhere All company logos subject to copyrights. All rights reserved. Markus Krötzsch, 16th Oct 2018 Knowledge Graphs slide 8 of 25 The original “Knowledge Graph” (Google, 2012): (c) Google. -
Lifelong Learning – Technology
Welcome Beyond Talk and Text Using Technology for Lifelong Learning by Don Frederiksen NOVEMBER 16, 2020 The Power of Curiosity & Learning Openness and curiosity correlate highly with good health and long life. People who are curious are more apt to challenge themselves intellectually and socially and reap the rewards of the mental calisthenics that result. — Successful Aging: A Neuroscientist Explores the Power and Potential of Our Lives by Daniel J Levitin www.SeniorTechClub.com Openness to Experience ..there’s a huge role for technology in older adult wellbeing and cognitive health. Dayna Touron, Professor of Psychology, University of North Carolina www.SeniorTechClub.com Topic of the Day How your devices support lifelong learning? Four tools for exploration and learning www.SeniorTechClub.com Our Learning Tools ◦Zoom and Screen Share ◦Slides – Downloadable from class page ◦Demonstrations ◦Your Questions ◦“Hey Don” or Chat ◦Online Class Page at: Links.SeniorTechClub.com/womansclub9 www.SeniorTechClub.com What’s On the Class Page? Links.SeniorTechClub.com/womansclub9 www.SeniorTechClub.com Poll: What devices or computers do you use? Our Top Tools for Learning & Exploration eBooks Podcasts Online Learning Platforms Video Sharing Platforms www.SeniorTechClub.com Two Step Approach QUICK DEFINITION AND DEEP DIVE INTO APPS AND POLL SOURCES & TIPS www.SeniorTechClub.com eBooks An electronic book, also known as an e-book or eBook, is a book publication made available in digital form and readable on a device or computer www.SeniorTechClub.com Podcasts Audio programs available on the internet and downloaded to your computer or device for playing anywhere or anytime www.SeniorTechClub.com Online Online learning platforms feature lectures, reading and interactions among Learning students and teachers. -
Google Dictionary: a Critical Review
3 Issues and Trends in Learning Technologies Volume 8, Number 1, May 2020 Google Dictionary: A Critical Review Musa Nushi Afshin Moradi Shahid Beheshti University Shahid Beheshti University Abstract In an increasingly digital world, online educational resources, apps, and other technologies can serve as incredibly effective tools to facilitate both teaching and learning. One such online tool is the Google Dictionary. This dictionary, an online service of Google, is probably one of the simplest dictionaries for English learners. The definitions usually use simple words and therefore are easy to understand. In addition to the definitions, examples, pictures, and usage notes, there is a separate pronunciation entry with interesting characteristics. This newly added entry provides users with the pronunciation of a word in two different accents, visemes, slow playback, and an option that lets Google collect feedback about the accuracy and helpfulness of the pronunciation recordings from users. This review paper offers a descriptive account of the entry, along with critical evaluation including its strong points and limitations. The review concludes with some suggestions to improve the educational quality of the pronunciation entry.. Keywords: Google Dictionary, pronunciation, second language, technology Website Details Publisher: Google Product Type: Web-based service Language(s): Multilingual Level: Any Media Format: WebP and WebM Operating Systems: Any Hardware Requirements: Internet Connection Supplementary Software: None Introduction The Internet has revolutionized the way we go about living our lives. There is hardly an area, at least in the Western world, that has not been touched by the Internet revolution (Esterle, Ranck & Schmitt, 2005; Selwyn, 2014). The affordances provided by the Internet are enormous, ranging from checking whether one’s plant needs water to booking a hotel in a resort island off the coast of Montenegro, in the Adriatic Sea. -
Methods in User Data Searches Simplified Approach to Web Searches Chandana Mallapragada Missouri University of Science and Technology, [email protected]
Association for Information Systems AIS Electronic Library (AISeL) MWAIS 2017 Proceedings Midwest (MWAIS) 6-2017 Methods in User Data Searches Simplified Approach to Web Searches Chandana Mallapragada Missouri University of Science and Technology, [email protected] Daniel Feissle Missouri University of Science and Technology, [email protected] Sonia Kapoor Missouri University of Science and Technology, [email protected] Tylor Brom Missouri University of Science and Technology, [email protected] Follow this and additional works at: http://aisel.aisnet.org/mwais2017 Recommended Citation Mallapragada, Chandana; Feissle, Daniel; Kapoor, Sonia; and Brom, Tylor, "Methods in User Data Searches Simplified Approach to Web Searches" (2017). MWAIS 2017 Proceedings. 4. http://aisel.aisnet.org/mwais2017/4 This material is brought to you by the Midwest (MWAIS) at AIS Electronic Library (AISeL). It has been accepted for inclusion in MWAIS 2017 Proceedings by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact [email protected]. Mallapragada et al. Methods in User Web Searches Methods in User Data Searches Simplified Approach to Web Searches Chandana Mallapragada Daniel Feissle Missouri University of Science and Technology Missouri University of Science and Technology [email protected] [email protected] Sonia Kapoor Tylor Brom Missouri University of Science and Technology Missouri University of Science and Technology [email protected] [email protected] Nathan Twyman Missouri University of Science and Technology [email protected] ABSTRACT The purpose of this study is to provide a solution for the unpleasant experience caused when the user wants to learn an unfamiliar word while reading online. We propose to build a cross-browser built-in dictionary extension called Word Detector. -
Plan Quick Class: Chrome Extensions Resources
PLAN QUICK CLASS: CHROME EXTENSIONS RESOURCES PRIVACY & AD BLOCKERS AdBlock blocks YouTube, Facebook and ads everywhere else on the web. AdBlock works automatically. Choose to continue seeing unobtrusive ads, whitelist your favorite sites, or block all ads by default. https://chrome.google.com/webstore/detail/adblock/gighmmpiobklfepjocnamgkkbiglidom Privacy Badger automatically learns to block invisible trackers. Instead of keeping lists of what to block, Privacy Badger learns by watching which domains appear to be tracking you as you browse the Web. https://chrome.google.com/webstore/detail/privacy-badger/pkehgijcmpdhfbdbbnkijodmdjhbjlgp Ghostery is a powerful privacy extension. Block ads, stop trackers and speed up websites. https://chrome.google.com/webstore/detail/ghostery-%E2%80%93-privacy-ad- blo/mlomiejdfkolichcflejclcbmpeaniij PRODUCTIVITY Full Page Screenshot captures entire websites and custom areas. https://chrome.google.com/webstore/detail/full-page- screenshot/glgomjpomoahpeekneidkinhcfjnnhmb Google Scholar Button adds a browser button for easy access to Google Scholar from any web page. Click the Scholar button to find full text on the web or in your university library. Select the title of the paper on the page you're reading, and click the Scholar button to find it. https://chrome.google.com/webstore/detail/google-scholar- button/ldipcbpaocekfooobnbcddclnhejkcpn Google Translate: Highlight or right-click on a section of text and click on Translate icon next to it to translate it to your language. Or, to translate the entire page you're visiting, click the translate icon on the browser toolbar. https://chrome.google.com/webstore/detail/google-translate/aapbdbdomjkkjkaonfhkkikfgjllcleb Grammarly will make sure your messages, documents, and social media posts are clear, mistake-free, and impactful. -
Accessing E-Books
Guide to Accessing E-books Defining E-book An electronic book, or e-book, is a publication that is accessible on a computer or other electronic device. E-books provide the ability to navigate documents on electronic devices. E-books are usually read on e-reader devices (such as the Kindle or Nook) or tablets using e-reader applications. Personal computers and smartphones can also be used to read e-books. Each e-book device has different accessible formats. Below is a table that describes which format is compatible with each e-reader device. Device Accessible Format Kindle MOBI, PDF Nook EPUB, PDF *PC PDF, MOBI, EPUB *Tablet, iPad, Smartphone PDF, EPUB, MOBI * Note: If you download the Kindle or Nook app for the PC or other e-reader devices, then you would download the respective format listed for that device. For example, if you download the Kindle Reader app on your personal computer, then you can read MOBI files using that app. Transferring Files from PC to E-Reader Device Once the EPUB or MOBI file is downloaded from theNational Forum on Education Statistics website, it will be available on your PC (on your local drive) or your e-reader device. Depending on your device and version, there are different steps to access the e-book. Sending MOBI files from your PC to your Kindle There are two ways to send MOBI files to your Kindle from your computer: connecting your Kindle to your computer, or emailing the MOBI file to your free Amazon Kindle e-mail address. Transfer by connecting your Kindle to your computer: 1. -
Using Google Chrome Extensions and Apps
Using Google Chrome Extensions and Apps February 16 th, 2017 by Shannon Proulx NLSEC Technology Coordinator 1 Objectives .Learn the difference between a Google Extension and Google App .Learn how to log into the Chrome web browser and how this differs from logging into your school email or Google Drive .Learn how to download an extension from the Chrome Store .Learn about several useful chrome extensions available .Learn how to unlink your Google account from the Chrome browser 2 What is an extension? .Extension are tools in the Chrome browser that add functionality to the web experience .They can be a simple function like highlighting text on the webpage with one click or more advanced like text read out loud .They are found to the right on the Chrome browser toolbar 3 Difference between an extension and app .Apps are links to websites .Found in the upper left hand corner of browser – colored boxes .Speech Recognition are typically Apps as they direct to a different website 4 Logging into gmail vs Chrome browser .Linking your Google Account to the Chrome browser is different than logging into your gmail or Google Drive .Here is have logged into my school google account .This is different than signing into Chrome browser 5 Log into Chrome browser .Settings (3 dots in upper right corner) .Sign In .Enter your school Google account .Select “link data” 6 Linking Google Account to Chrome browser (con’t) .Message appears: .When correctly linked to the Chrome browser, will look like this in settings: 7 Download an extension from Chrome Web Store . -
Measuring Personalization of Web Search
1 Measuring Personalization of Web Search ANIKÓ HANNÁK, Northeastern University PIOTR SAPIEŻYŃSKI, Technical University of Denmark ARASH MOLAVI KAKHKI, Northeastern University DAVID LAZER, ALAN MISLOVE, and CHRISTO WILSON, Northeastern University Web search is an integral part of our daily lives. Recently, there has been a trend of personalization in Web search, where dierent users receive dierent results for the same search query. The increasing level of personalization is leading to concerns about Filter Bubble eects, where certain users are simply unable to access information that the search engines’ algorithm decides is irrelevant. Despite these concerns, there has been little quantication of the extent of personalization in Web search today, or the user attributes that cause it. In light of this situation, we make three contributions. First, we develop a methodology for measuring personalization in Web search results. While conceptually simple, there are numerous details that our methodology must handle in order to accurately attribute dierences in search results to personalization. Second, we apply our methodology to 200 users on Google Web Search and 100 users on Bing. We nd that, on average, 11.7% of results show dierences due to personalization on Google, while 15.8% of results are personalized on Bing, but that this varies widely by search query and by result ranking. Third, we investigate the user features used to personalize on Google Web Search and Bing. Surprisingly, we only nd measurable personalization as a result of searching with a logged in account and the IP address of the searching user. Our results are a rst step towards understanding the extent and eects of personalization on Web search engines today. -
Knowledge Graphs Lecture 6 - Advanced Knowledge Graph Applications 6.1 the Graph in Knowledge Graphs
This file is licensed under the Creative Commons Attribution-NonCommercial 3.0 (CC BY-NC 3.0) Knowledge Graphs Lecture 6 - Advanced Knowledge Graph Applications 6.1 The Graph in Knowledge Graphs Prof. Dr. Harald Sack & Dr. Mehwish Alam FIZ Karlsruhe - Leibniz Institute for Information Infrastructure AIFB - Karlsruhe Institute of Technology Autumn 2020 Knowledge Graphs 2020 , Prof. Dr. Harald Sack & Dr. Mehwish Alam, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure & Karlsruhe Institute of Technology Knowledge Graphs Lecture 6: Advanced Knowledge Graph Applications 6.1 The Graph in Knowledge Graphs 6.2 Knowledge Graph Embeddings 6.3 Knowledge Graph Completion 6.4 Knowledge Graph Mappings and Alignment 6.5 Semantic Search 6.6 Exploratory Search and Recommender Systems Knowledge Graphs 2020 , Prof. Dr. Harald Sack & Dr. Mehwish Alam, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure & Karlsruhe Institute of Technology 6. Advanced Knowledge Graph Applications / 6.1 The Graph in Knowledge Graphs Knowledge Graph Recap ● A Graph consisting of concepts, classes, properties, relationships, and entity descriptions ● Based on formal knowledge representations (RDF(S), OWL) ● Data can be open (e.g. DBpedia, WikiData), private (e.g. supply chain data), or closed (e.g. product models) ● Data can be original, derived, or aggregated ● We distinguish ○ instance data (ground truth), ○ schema data (vocabularies, ontologies) ○ metadata (e.g. provenance, versioning, licensing) ● Taxonomies are used to categorize entities ● Links exist between internal and external data ● Including mappings to data stored in other systems and databases ● Fully compliant to FAIR Data principles [1] Knowledge Graphs 2020 , Prof. Dr. Harald Sack & Dr. Mehwish Alam, FIZ Karlsruhe - Leibniz Institute for Information Infrastructure & Karlsruhe Institute of Technology 6. -
An Invitation to CALL
LINGUISTICS DEPARTMENT - STANFORD UNIVERSITY An Invitation to CALL Foundations of Computer-Assisted Language Learning Home | Unit 1 | Unit 2 | Unit 3| Unit 4| Unit 5| Unit 6 | Unit 7 | Unit 8 | Supplement Click here for PDF An Invitation to CALL Unit 5: Environments, Tools, Materials, and Activities OVERVIEW This unit looks at four dimensions of CALL: the environments in which it is used, the digital tools, the materials available (especially on the Web), and the types of activities. Many of the points here have already been touched on in previous units but we revisit them and explore them in greater depth here. This unit is primarily about exploring, so follow up on links that look interesting. ENVIRONMENTS Goal 2, Standard 1 of the TESOL Technologies Standards for Teachers states "Language teachers identify and evaluate technological resources and environments for suitability to their teaching context." Similarly, Goal 1, Standard 2 refers to teachers' knowledge of "a wide range" of technology options and especially their ability to use those options "in a given setting." Indeed, environments determine to a large degree what a teacher or learner can and can't do with technology. This section will discuss different environments for users (both teachers and learners) and how those environments impact the nature of interaction and learning. • Classrooms. The technology available in classrooms is currently in a state of transition across institutions and in many cases within institutions as well. At Stanford where I teach, I might have one course in a room with an electronic white board and another in a room with only a chalk board. -
Googling for Meaning: Statutory Interpretation in the Digital Age Alice A
THE YALE LAW JOURNAL FORUM F EBRUARY 15, 2016 Googling for Meaning: Statutory Interpretation in the Digital Age Alice A. Wang introduction Dictionary use has become a common practice in modern statutory interpretation at the Supreme Court.1 With the rise of the “new textualism,”2 Justices increasingly rely on dictionaries to shed light on the plain meaning of statutes—that is, the understanding that an ordinary English speaker would draw from the text.3 This trend is not limited to textualists: Justices who favor purposivist analyses of legislative intent cite dictionaries just as often.4 Scholars and practitioners have criticized this development in two main ways.5 The first critique questions the soundness of the interpretive 1. See, e.g., James J. Brudney & Lawrence Baum, Oasis or Mirage: The Supreme Court’s Thirst for Dictionaries in the Rehnquist and Roberts Eras, 55 WM. & MARY L. REV. 483 (2013); John Calhoun, Note, Measuring the Fortress: Explaining Trends in Supreme Court and Circuit Court Dictionary Use, 124 YALE L.J. 484 (2014); Jeffrey L. Kirchmeier & Samuel A. Thumma, Scaling the Lexicon Fortress: The United States Supreme Court’s Use of Dictionaries in the Twenty-First Century, 94 MARQ. L. REV. 77 (2010). 2. The new textualism, most closely associated with Justice Scalia, focuses statutory interpretation on the text of the statute in question and the larger body of surrounding law. Rickie Sonpal, Old Dictionaries and New Textualists, 71 FORDHAM L. REV. 2177, 2192 (2003). 3. Plain meaning can diverge from ordinary meaning when a statute includes a specific definition for a term or when a statute uses a term that has a specialized meaning within a particular field. -
Google Extensions Feb 2018
Google Extensions, Apps and Add-ons February 2018 Overview of Google Chrome Tools o Google Chrome Extensions (show up to the right on Chrome browser toolbar) o Google Chrome Apps (links to Google products – waffle next to your picture) o Google Chrome Add-ons (extra features inside Google Docs, Sheets or Forms) o Log in to Chrome Browser vs. logging into Drive/Gmail on website Read and Write for Google • Floating toolbar available in Chrome as an extension • Free for teachers, speech only free for students • Features include text to speech, pop-up/picture dictionary, highlighter feature, and a vocabulary list for reading help. Writing supports include word prediction, speech to text, and pdf reader. Web features include removing all ads and pictures. • Download at Chrome webstore. Teacher registration for free subscription: https://www.texthelp.com/en-gb/products/free-for-teachers/ Using Google Drive to convert picture of text to digital text 1) Log into Google Drive 2) Select New – File Upload 3) Browse to the picture of paper sheet (usually a jpeg or PDF) and upload 4) In Google – right click on the jpeg and select “Open with – Google Docs” 5) The image and digital text are now in the document. Google Extensions, Apps and Add-ons ACCESSIBILITY BOOKS READING Click Free Browsing Extension Google Play Books Mercury Reader Extension Hover mouse over and will click Search book, changes in font, Simplifies webpage, no ads background Scroll to Top Extension Skimzee Extension Kindle Cloud Launcher Reduces the number of sentences on Changes