DOCSLIB.ORG

Universidad De El Salvador Facutad Multidisciplinaria Oriental Departamento De Ciencias Y Humanidades Seccion De Educacion

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Universidad De El Salvador Facutad Multidisciplinaria Oriental Departamento De Ciencias Y Humanidades Seccion De Educacion UNIVERSIDAD DE EL SALVADOR FACUTAD MULTIDISCIPLINARIA ORIENTAL DEPARTAMENTO DE CIENCIAS Y HUMANIDADES SECCION DE EDUCACION AÑO ACADEMICO: CICLO II, 2018 TEMA: LOS BUSCADORES (GOOGLE) DOCENTE: JORGE ENESTO PORTILLO. ESTUDINTE: GRANADOS VENTURA JOSE ISAAC. CIUDAD UNIVERSITARIA ORIENTAL, OCTUBRE 2018 INTRODUCCION En el presente trabajo daremos a conocer una gama de buscadores que son útiles para que las personas, busquen información de acuerdo a su intereses, cada buscador posee sus ventajas y desventajas en esta sección solo se presentara una síntesis por cada uno de los buscadores nos centraremos en aspectos importantes sobre el buscador google, su conceptos así como también sus aspectos generales, las características que este posee como material didáctico, además su clasificación, luego presentamos la importancia que este tiene para el procesos de enseñanza aprendizaje, así como también las ventas y desventajas que este buscador tiene, de igual manera se presentara el procesos detallado para la elaboración de la búsqueda de información de google, y el procesos como se usa en el aula. 2 INDICE OBJETIVOS.................................................................................................................................................... 5 OBJETIVO GENERAL. ..................................................................................................................................... 5 OBJETIVO ESPECIFICOS. ............................................................................................................................ 5 MARCO TEORICO ............................................................................................. ¡Error! Marcador no definido. ASPECTOS GENERALES ............................................................................................................................ 21 CONCEPTOS DE GOOGLE......................................................................................................................... 25 CARACTERISTICAS COMO RECURSO DIDACTICO. ..................................................................................... 25 CLASIFICACION DE GOOGLE. ................................................................................................................... 26 Link score ........................................................................................................................................... 26 Texto Ancla o Anchor Text es relevante (pero no demasiado) .............................................................. 27 Cómo optimizar .................................................................................................................................. 27 Contenido ............................................................................................................................................... 28 Uso de palabras clave .......................................................................................................................... 28 Longitud ............................................................................................................................................. 28 Comprensividad .................................................................................................................................. 29 Cómo optimizar: ................................................................................................................................. 29 SEO Técnico .......................................................................................................................................... 30 Velocidad de página ............................................................................................................................ 30 Usabilidad Móvil ................................................................................................................................ 30 Cómo optimizar: ................................................................................................................................. 30 Experiencia de usuario y CTR ............................................................................................................. 31 Click-through Rate .............................................................................................................................. 31 Cómo Optimizar ................................................................................................................................. 31 IMPORTANCIA PARA EL PROCESO DE ENSEÑANZA Y APRENDIZAJE. ......................................................... 32 Herramientas de Google para docentes. ............................................................................................... 32 Ventajas para segmentos educativos. ................................................................................................... 33 La gran ayuda de Google Chrome para docentes y alumnos. ................................................................ 35 Algunas de las herramientas de Google para docentes. ......................................................................... 35 Extensiones......................................................................................................................................... 35 3 Add-Ons ............................................................................................................................................. 36 Aplicaciones ....................................................................................................................................... 38 VENTAJAS DE GOOGLE ............................................................................................................................ 39 DESVENTAJAS DE GOOGLE. ..................................................................................................................... 40 MATERIALES PARA SU DESARROLLO........................................................................................................ 41 PROCESO DETALLADO DE ELABORACION. ............................................................................................... 41 COMO SE USA EN EL PROCESO AULICO. .................................................................................................. 49 BIBLIOGRAFIA. ............................................................................................................................................ 52 4 OBJETIVOS OBJETIVO GENERAL. Conocer los distintos recursos y medios didácticos, su construcción y su utilización practica en el proceso de enseñanza aprendizaje. OBJETIVO ESPECIFICOS. Identificar la importancia que tiene google en el proceso de enseñanza aprendizaje. Indagar información bibliowed de los principales buscadores. Describir la utilización de google en el proceso de enseñanza aprendizaje. 5 DESARROLLO TIPOS DE BUSCADORES. GOOGLE www.google.com Como activa su éxito google.com? Es un resultado alfanumérico que se inicia al consultar una duda, ahí, en una espiral de resultados positivos, se activan cientos de miles de servidores, luego millones de procesadores a los que activan 14.000 millones de páginas web e inducen a una potencia a la "n" de cifra digital, que en una abrir y cerrar de ojos obtenemos una respuesta, afirmativa. Es una ecuación de 500 millones de variables posibles que Google resuelve en un clic. Estas consultas ascienden a más de 7.200 millones de vistas diarias. Sin lugar a dudas Google hoy por hoy es el buscador más utilizado en el Mundo a nivel general. Existiendo aún países donde no son la primera fuente de consultas. Como es el caso de de Corea, China, y muchos países asiáticos, que representan un parte muy importante de los 1.200.000 usuarios actuales de la Red. Google aunque su buscador, es la fuente prioritaria de sus ingresos y utilización, tienen desarrolladas herramientas, que por sí mismas son de interés para gran mayoría de usuarios como son... (Más información) BING www.bing.com Bing (anteriormente Live Search, Windows Live Search y MSN Search) es un buscador web de Microsoft. Fue puesto en línea el 3 de junio de 2009 con una versión preliminar publicada el 1 de junio del 2009. Cambios notables incluyen la lista de sugerencias de 6 búsqueda en tiempo real, y una lista de las búsquedas relacionadas (llamado "Panel de explorador" en el lado izquierdo de los resultados de búsqueda), basado en tecnología semántica de Powerset2 que Microsoft compro en el 2008. ¿Qué es Bing? Es una herramienta de búsqueda con un aspecto y un funcionamiento totalmente nuevos, que te ayuda a encontrar lo que buscas de forma más rápida y sencilla. Ofrece mejores resultados que nunca para España y seguirá evolucionando durante los próximos meses para brindar una experiencia de búsqueda más completa que podrán disfrutar un número creciente de usuarios que busquen tus productos y servicios. (Más información) ALEXA www.alexa.com/ Alexa Internet, Inc. es una subsidiaria de la compañía Amazon.com con base en California. Es conocida por operar el sitio web alexa.com que provee información acerca de la cantidad de visitas que recibe un sitio web y los clasifica en un ranking. Alexa recoge información de los usuarios que tienen instalado Alexa Toolbar, lo cual le permite generar estadísticas acerca de la cantidad de visitas y de los enlaces relacionados. Alexa también proporciona una gráfica donde se puede apreciar perfectamente el crecimiento/decrecimiento de las visitas a una página web, además de la información diaria (solo las 100.000 primeras páginas de la clasificación),
Load more

Recommended publications
  • Unlocking Trapped Value in Data | Accenture
    Unlocking trapped value in data – accelerating business outcomes with artificial intelligence Actions to bridge the data and AI value gap Enterprises need a holistic data strategy to harness the massive power of artificial intelligence (AI) in the cloud By 2022, 90% of corporate strategies will explicitly cite data as a critical enterprise asset1. The reason why? Fast-growing pressure on enterprises to be more responsive, customer obsessed and market relevant. These capabilities demand real-time decision-making, augmented with AI/machine learning (ML)-based insights. And that requires end-to-end data visibility—free from complexities in the underlying infrastructure. For enterprises still reliant on legacy systems, this can be particularly challenging. Irrespective of challenges, however, the direction is clear. According to IDC estimates, spend on AI platforms and applications by enterprises in Asia Pacific (excluding Japan and China) is set to increase by a five-year CAGR of 30%, rising from US$753.6 million in 2020 to US$2.2 billion in 202 4 2. The need to invest strategically in AI/ML is higher than ever as CXOs move away from an experimental mindset and focus on breaking down data silos to extract full value from their data assets. These technologies are likely to have a significant impact on enterprises’ data strategies—making them increasingly By 2022, 90% of corporate strategies will integrated into CXOs’ growth objectives for the business. explicitly cite data as a critical enterprise asset. This is supported by research for Accenture’s Technology Vision 2021, which shows that the top three technology areas where enterprises are prioritizing - Gartner investment over the next year are cloud (45%), AI (39%) and IoT (35%)3.
    [Show full text]
  • Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet
    Chinese Pinyin Aided IME, Input What You Have Not Keystroked Yet Yafang Huang1;2, Hai Zhao1;2;∗, 1Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China 2Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China [email protected], [email protected] ∗ Abstract between pinyin syllables and Chinese characters. (Huang et al., 2018; Yang et al., 2012; Jia and Chinese pinyin input method engine (IME) Zhao, 2014; Chen et al., 2015) regarded the P2C as converts pinyin into character so that Chinese a translation between two languages and solved it characters can be conveniently inputted into computer through common keyboard. IMEs in statistical or neural machine translation frame- work relying on its core component, pinyin- work. The fundamental difference between (Chen to-character conversion (P2C). Usually Chi- et al., 2015) work and ours is that our work is a nese IMEs simply predict a list of character fully end-to-end neural IME model with extra at- sequences for user choice only according to tention enhancement, while the former still works user pinyin input at each turn. However, Chi- on traditional IME only with converted neural net- nese inputting is a multi-turn online procedure, work language model enhancement. (Zhang et al., which can be supposed to be exploited for fur- 2017) introduced an online algorithm to construct ther user experience promoting. This paper thus for the first time introduces a sequence- appropriate dictionary for P2C. All the above men- to-sequence model with gated-attention mech- tioned work, however, still rely on a complete in- anism for the core task in IMEs.
    [Show full text]
  • Vermont Wood Works Council
    REPORT FOR APR 1, 2021 - APR 30, 2021 (GENERATED 4/30/2021) VERMONT WOOD - SEO & DIGITAL MARKETING REPORT Search Engine Visibility & Competitors NUMBER OF ORGANIC KEYWORDS IN TOP 10 BY DOMAIN verm on twood.com verm on tfu rn itu rem akers.com m adein verm on tm arketplace.c… verm on twoodworkin gsch ool.… 1/2 20 15 10 5 0 May Ju n Ju l Au g Sep Oct Nov Dec Jan Feb Mar Apr ORGANIC SEARCH ENGINE VISIBILITY ORGANIC VISIBILITY INCL. COMPETITORS 10 .0 0 Domain Organic visibilit y Pre vio us p e m adeinverm ontm arketplace.com 6.91 +0.47 7.50 verm ontwood.com 6.43 - 11.60 verm ontfurniturem akers.com 2.50 - 10.60 5.0 0 verm ontwoodworkingschool.com 1.56 = vtfpa.org 0.13 - 12.91 verm ontwoodlands.org 2.50 0.09 +89.7 3 0 .0 0 May Ju n Ju l Au g Sep Oct Nov Dec Jan Feb Mar Apr Google Keyword Ranking Distribution # OF KEYWORDS TRACKED # OF KEYWORDS IN TOP 3 # OF KEYWORDS IN TOP 10 # OF KEYWORDS IN TOP 20 0 8 10 Previou s period Previou s year Previou s period Previou s year Previou s period Previou s year 29 0% - 100% 0% 14% 0% 0% 1 of 8 Google Keyword Rankings ORGANIC POSITION NOTES Ke yword Organic posit ion Posit ion change verm ont wooden toys 4 = T he "Or ganic Posit ion" means t he it em r anking on t he Google woodworkers verm ont 4 = sear ch r esult page.
    [Show full text]
  • App Search Optimisation Plan and Implementation. Case: Primesmith Oy (Jevelo)
    App search optimisation plan and implementation. Case: Primesmith Oy (Jevelo) Thuy Nguyen Bachelor’s Thesis Degree Programme in International Business 2016 Abstract 19 August 2016 Author Thuy Nguyen Degree programme International Business Thesis title Number of pages App search optimisation plan and implementation. Case: Primesmith and appendix pages Oy (Jevelo). 49 + 7 This is a project-based thesis discussing the fundamentals of app search optimisation in modern business. Project plan and implementation were carried out for Jevelo, a B2C hand- made jewellery company, within three-month period and thenceforth recommendations were given for future development. This thesis aims to approach new marketing techniques that play important roles in online marketing tactics. The main goal of this study is to accumulate best practices of app search optimisation and develop logical thinking when performing project elements and analysing results. The theoretical framework introduces an overview of facts and the innovative updates in the internet environment. They include factors of online marketing, mobile marketing, app search optimisation, with the merger of search engine optimisation (SEO) and app store op- timisation (ASO) being considered as an immediate action for digital marketers nowadays. The project of app search optimisation in chapter 4 reflects the accomplished activities of the SEO implementation from scratch and a piece of ASO analysis was conducted and sugges- tions for Jevelo. Other marketing methods like search engine marketing, affiliate marketing, content marketing, together with the customer analysis are briefly described to support of theoretical aspects. The discussion section visualises the entire thesis process by summing up theoretical knowledge, providing project evaluation as well as a reflection of self-learning.
    [Show full text]
  • Seo-101-Guide-V7.Pdf
    Copyright 2017 Search Engine Journal. Published by Alpha Brand Media All Rights Reserved. MAKING BUSINESSES VISIBLE Consumer tracking information External link metrics Combine data from your web Uploading backlink data to a crawl analytics. Adding web analytics will also identify non-indexable, redi- data to a crawl will provide you recting, disallowed & broken pages with a detailed gap analysis and being linked to. Do this by uploading enable you to find URLs which backlinks from popular backlinks have generated traffic but A checker tools to track performance of AT aren’t linked to – also known as S D BA the most link to content on your site. C CK orphans. TI L LY IN A K N D A A T B A E W O R G A A T N A I D C E S IL Search Analytics E F Crawler requests A G R O DeepCrawl’s Advanced Google CH L Integrate summary data from any D Search Console Integration ATA log file analyser tool into your allows you to connect technical crawl. Integrating log file data site performance insights with enables you to discover the pages organic search information on your site that are receiving from Google Search Console’s attention from search engine bots Search Analytics report. as well as the frequency of these requests. Monitor site health Improve your UX Migrate your site Support mobile first Unravel your site architecture Store historic data Internationalization Complete competition Analysis [email protected] +44 (0) 207 947 9617 +1 929 294 9420 @deepcrawl Free trail at: https://www.deepcrawl.com/free-trial Table of Contents 9 Chapter 1: 20
    [Show full text]
  • Strategic Social Media Tools and Increasing Engagement
    Strategic Social media tools and increasing engagement Soolcio D I ST RI C T CO UN C IL In this guide 1. How to make best use ofyour time and money 2. What's in your social media too/kit? 3. How can you increase engagement? Soolcio D I ST RI C T CO UN C IL 1. Investment should you focus your time and money? Soolcio D I ST RI C T CO UN C IL Let’s think about 1. Platforms 3. Photography 2. Planning 4. Promotions Soolcio D I ST RI C T CO UN C IL 1. Platforms Always better to do fewer platforms, brilliantly You don't have to be everywhere, all the time! Think: Where is my audience? Soolcio D I ST RI C T CO UN C IL ------------------- ----------- 9!.!Je! · little_aae_kitchen ti II ~• • • • little_acre_kitchen • Follow eny oc •, d • Origi al io little_acre_kitchen ; PY F D Y! ; Biscoff brownies o t e counter! I you vould like to book a house old table or the veeken t en ge i touch! 01480 46405 □ eve s@hallandco en desig .co.uk 3w simply_rose711 Are hese available for take away? 3 1 like Rep y (? 0 Y/ Lik by cambridgejuiceco an 75 others e Q ddacommen ... Huntingdonshire- DISTRICT COUNCIL 2. Planning Put time aside to think: • What type ofcontent you'll post • What you won't post about! • Who's going to do it • What will be sustainable Soolcio D I ST RI C T CO UN C IL SOCIAL MEDIA CHECKLIST Planning Maybe you're new to social media - or you want to take a fresh 2.
    [Show full text]
  • Google Search Console
    Google Search Console Google Search Console is a powerful free tool to see how your website performs in Google search results and to help monitor the health of your website. How does your site perform in Google Search results? Search Analytics is the main tool in Search Console to see how your site performs in Google search results. Using the various filters on Search Analytics you can see: The top search queries people used to find your website Which countries your web traffic is coming from What devices visitors are using (desktop, mobile, or tablet) How many people saw your site in a search results list (measured as impressions) How many people clicked on your site from their search results Your website’s ranking in a search results list for a given term For example, the search query used most often to find the SCLS website is ‘South Central Library System.’ When people search ‘South Central Library System’ www.scls.info is the first result in the list. As shown below, this July, 745 people used this search query and 544 people clicked on the search result to bring them to www.scls.info. Monitoring your website health Google Search console also has tools to monitor your website’s health. The Security Issues tab lets you know if there are any signs that your site has been hacked and has information on how to recover. The Crawl Error tool lets you know if Google was unable to navigate parts of your website in order to index it for searching. If Google can’t crawl your website, it often means visitors can’t see it either, so it is a good idea to address any errors you find here.
    [Show full text]
  • SNSW for Business Assisted Channels & Middle Office App Dev
    Assisted SNSW for Channels & Digital Channels Business Personal Transactions Middle Office MyService NSW a/c Transactions Digital App Dev Digital SNSW for My Community & Service Proof Of Auth & Licence Knowledge & IT Service Tech Design & Portal Mobile Apps Website Licence Business Project (Forms) Unify Identity Tell Gov Once Linking API Platform Test Team Delivery Development Tech Stacks/Language/Tools/Frameworks Node/5 x XML x React x x x x x x NodeJS x x x Mongo DB - At x AngularJS x x Drupal 7/8 x Secure Logic PKI x HTML5 x Post CSS x Bootstrap x Springboot x x x Kotlin x x x Style components (react) x Postgres RDS x Apigee x Next.JS (react) x Graph QL x Express x x Form IO x Mongo DB/ Mongo Atlas x Mongo DB (form IO) hosted on atlas x Java x x Angular 6 x Angular 5 x SQL server x Typescript x x x Mysql Aurora DB x Vue JS x x Bulma CSS x Javascript ES6 x x x Note JS x Oauth x Objective C x Swift x Redux x ASP.Net x Docker Cloud & Infrastructure Apigee x x x x Firebase x PCF (hosting demo App) x PCF x x x x x x Google Play Store x x Apple App Store x Google SafetyNet x Google Cloud Console x Firebase Cloud Messaging x Lambda x x x Cognito x ECS x x ECR x ALB x S3 x x Jfrog x Route 53 x Form IO x Google cloud (vendor hosted) x Cloudfront x Docker x x Docker/ Kubernetes x Postgres (RDS) x x Rabbit MQ (PCF) x Secure Logic PKI x AWS Cloud x Dockerhub (DB snapshots) x Development Tools Atom x Eclipse x x Postman x x x x x x x x x VS Code x x x x Rider (Jetbrain) x Cloud 9 x PHP Storm x Sublime x Sourcetree x x x Webstorm x x x Intelij x
    [Show full text]
  • How Can I Get Deep App Screens Indexed for Google Search?
    HOW CAN I GET DEEP APP SCREENS INDEXED FOR GOOGLE SEARCH? Setting up app indexing for Android and iOS apps is pretty straightforward and well documented by Google. Conceptually, it is a three-part process: 1. Enable your app to handle deep links. 2. Add code to your corresponding Web pages that references deep links. 3. Optimize for private indexing. These steps can be taken out of order if the app is still in development, but the second step is crucial. Without it, your app will be set up with deep links but not set up for Google indexing, so the deep links will not show up in Google Search. NOTE: iOS app indexing is still in limited release with Google, so there is a special form submission and approval process even after you have added all the technical elements to your iOS app. That being said, the technical implementations take some time; by the time your company has finished, Google may have opened up indexing to all iOS apps, and this cumbersome approval process may be a thing of the past. Steps For Google Deep Link Indexing Step 1: Add Code To Your App That Establishes The Deep Links A. Pick A URL Scheme To Use When Referencing Deep Screens In Your App App URL schemes are simply a systematic way to reference the deep linked screens within an app, much like a Web URL references a specific page on a website. In iOS, developers are currently limited to using Custom URL Schemes, which are formatted in a way that is more natural for app design but different from Web.
    [Show full text]
  • Networking Best Practices for Large Deployments Google, Inc
    Networking Best Practices for Large Deployments Google, Inc. 1600 Amphitheatre Parkway Mountain View, CA 94043 www.google.com Part number: NETBP_GAPPS_3.8 November 16, 2016 © Copyright 2016 Google, Inc. All rights reserved. Google, the Google logo, G Suite, Gmail, Google Docs, Google Calendar, Google Sites, Google+, Google Talk, Google Hangouts, Google Drive, Gmail are trademarks, registered trademarks, or service marks of Google Inc. All other trademarks are the property of their respective owners. Use of any Google solution is governed by the license agreement included in your original contract. Any intellectual property rights relating to the Google services are and shall remain the exclusive property of Google, Inc. and/or its subsidiaries (“Google”). You may not attempt to decipher, decompile, or develop source code for any Google product or service offering, or knowingly allow others to do so. Google documentation may not be sold, resold, licensed or sublicensed and may not be transferred without the prior written consent of Google. Your right to copy this manual is limited by copyright law. Making copies, adaptations, or compilation works, without prior written authorization of Google. is prohibited by law and constitutes a punishable violation of the law. No part of this manual may be reproduced in whole or in part without the express written consent of Google. Copyright © by Google Inc. Google provides this publication “as is” without warranty of any either express or implied, including but not limited to the implied warranties of merchantability or fitness for a particular purpose. Google Inc. may revise this publication from time to time without notice.
    [Show full text]
  • Predicting Web Searcher Satisfaction with Existing Community-Based Answers
    Predicting Web Searcher Satisfaction with Existing Community-based Answers Qiaoling Liu§, Eugene Agichtein§, Gideon Dror†, Evgeniy Gabrilovich‡, Yoelle Maarek†, Dan Pelleg†, Idan Szpektor†, §Emory University, Atlanta, GA, USA †Yahoo! Research, Haifa, Israel ‡Yahoo! Research, Santa Clara, CA, USA {qliu26, eugene}@mathcs.emory.edu, {gideondr, gabr, yoelle, dpelleg, idan}@yahoo-inc.com ABSTRACT 1. INTRODUCTION Community-based Question Answering (CQA) sites, such “Just because Google exists doesn’t mean you should as Yahoo! Answers, Baidu Knows, Naver, and Quora, have stop asking people things.” – Alexia Tsotsis [35] been rapidly growing in popularity. The resulting archives Community-based Question Answering (CQA) sites, such of posted answers to questions, in Yahoo! Answers alone, as Yahoo! Answers, Baidu Knows, and Naver Ji-Sik-In, as already exceed in size 1 billion, and are aggressively indexed well as more social-oriented newcomers such as Vark and by web search engines. In fact, a large number of search Quora, have gained substantial popularity over the recent engine users benefit from these archives, by finding existing years, effectively filling a niche left by the mainstream Web answers that address their own queries. This scenario poses search engines. People around the globe resort to commu- new challenges and opportunities for both search engines nity help for a variety of reasons, from lack of proficiency in and CQA sites. To this end, we formulate a new problem of Web search to seeking an answer “with a human touch”. Al- predicting the satisfaction of web searchers with CQA an- though some of these sites allow for monetary payments in swers.
    [Show full text]
  • Google Ngram Viewer by Andrew Weiss
    Google Ngram Viewer By Andrew Weiss Digital Services Librarian California State University, Northridge Introduction: Google, mass digitization and the emerging science of culturonomics Google Books famously launched in 2004 with great fanfare and controversy. Two stated original goals for this ambitious digitization project were to replace the generic library card catalog with their new “virtual” one and to scan all the books that have ever been published, which by a Google employee’s reckoning is approximately 129 million books. (Google 2014) (Jackson 2010) Now ten years in, the Google Books mass-digitization project as of May 2014 has claimed to have scanned over 30 million books, a little less than 24% of their overt goal. Considering the enormity of their vision for creating this new type of massive digital library their progress has been astounding. However, controversies have also dominated the headlines. At the time of the Google announcement in 2004 Jean Noel Jeanneney, head of Bibliothèque nationale de France at the time, famously called out Google’s strategy as excessively Anglo-American and dangerously corporate-centric. (Jeanneney 2007) Entrusting a corporation to the digitization and preservation of a diverse world-wide corpus of books, Jeanneney argues, is a dangerous game, especially when ascribing a bottom-line economic equivalent figure to cultural works of inestimable personal, national and international value. Over the ten years since his objections were raised, many of his comments remain prescient and relevant to the problems and issues the project currently faces. Google Books still faces controversies related to copyright, as seen in the current appeal of the Author’s Guild v.
    [Show full text]