Regulating Search Engines: Taking Stock and Looking Ahead Urs Gasser
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Links (Including Embedded Links) – in General
LINKS (INCLUDING EMBEDDED LINKS) – IN GENERAL Excerpted from Chapter 9 (Unique Intellectual Property Issues in Search Engine Marketing, Optimization and Related Indexing, Information Location Tools and Internet and Social Media Advertising Practices) from the April 2020 updates to E-Commerce and Internet Law: Legal Treatise with Forms 2d Edition A 5-volume legal treatise by Ian C. Ballon (Thomson/West Publishing, www.IanBallon.net) INTERNET, MOBILE AND DIGITAL LAW YEAR IN REVIEW: WHAT YOU NEED TO KNOW FOR 2021 AND BEYOND ASSOCIATION OF CORPORATE COUNSEL JANUARY 14, 2021 Ian C. Ballon Greenberg Traurig, LLP Silicon Valley: Los Angeles: 1900 University Avenue, 5th Fl. 1840 Century Park East, Ste. 1900 East Palo Alto, CA 914303 Los Angeles, CA 90067 Direct Dial: (650) 289-7881 Direct Dial: (310) 586-6575 Direct Fax: (650) 462-7881 Direct Fax: (310) 586-0575 [email protected] <www.ianballon.net> LinkedIn, Twitter, Facebook: IanBallon This paper has been excerpted from E-Commerce and Internet Law: Treatise with Forms 2d Edition (Thomson West April 2020 Annual Update), a 5-volume legal treatise by Ian C. Ballon, published by West, (888) 728-7677 www.ianballon.net Ian C. Ballon Silicon Valley 1900 University Avenue Shareholder 5th Floor Internet, Intellectual Property & Technology Litigation East Palo Alto, CA 94303 T 650.289.7881 Admitted: California, District of Columbia and Maryland F 650.462.7881 Second, Third, Fourth, Fifth, Seventh, Ninth, Eleventh and Federal Circuits Los Angeles U.S. Supreme Court 1840 Century Park East JD, LLM, CIPP/US Suite 1900 Los Angeles, CA 90067 [email protected] T 310.586.6575 LinkedIn, Twitter, Facebook: IanBallon F 310.586.0575 Ian C. -
Towards the Ontology Web Search Engine
TOWARDS THE ONTOLOGY WEB SEARCH ENGINE Olegs Verhodubs [email protected] Abstract. The project of the Ontology Web Search Engine is presented in this paper. The main purpose of this paper is to develop such a project that can be easily implemented. Ontology Web Search Engine is software to look for and index ontologies in the Web. OWL (Web Ontology Languages) ontologies are meant, and they are necessary for the functioning of the SWES (Semantic Web Expert System). SWES is an expert system that will use found ontologies from the Web, generating rules from them, and will supplement its knowledge base with these generated rules. It is expected that the SWES will serve as a universal expert system for the average user. Keywords: Ontology Web Search Engine, Search Engine, Crawler, Indexer, Semantic Web I. INTRODUCTION The technological development of the Web during the last few decades has provided us with more information than we can comprehend or manage effectively [1]. Typical uses of the Web involve seeking and making use of information, searching for and getting in touch with other people, reviewing catalogs of online stores and ordering products by filling out forms, and viewing adult material. Keyword-based search engines such as YAHOO, GOOGLE and others are the main tools for using the Web, and they provide with links to relevant pages in the Web. Despite improvements in search engine technology, the difficulties remain essentially the same [2]. Firstly, relevant pages, retrieved by search engines, are useless, if they are distributed among a large number of mildly relevant or irrelevant pages. -
Web-Scale Responsive Visual Search at Bing
Web-Scale Responsive Visual Search at Bing Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, Xi (Stephen) Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti Microsoft Redmond, Washington {houhu,wanyan,linjuny,pkomlev,huangli,chnxi,jiaphuan,wuye,meemerc,aruns}@microsoft.com ABSTRACT build a relevant, responsive, and scalable web-scale visual search In this paper, we introduce a web-scale general visual search system engine. To the best of the authors’ knowledge, this is the first work deployed in Microsoft Bing. The system accommodates tens of introducing a general web-scale visual search engine. billions of images in the index, with thousands of features for each Web-scale visual search engine is more than extending existing image, and can respond in less than 200 ms. In order to overcome visual search approaches to a larger database. Here web-scale means the challenges in relevance, latency, and scalability in such large the database is not restricted to a certain vertical or a certain web- scale of data, we employ a cascaded learning-to-rank framework site, but from a spider of a general web search engine. Usually the based on various latest deep learning visual features, and deploy in database contains tens of billions of images, if not more. With this a distributed heterogeneous computing platform. Quantitative and amount of data, the major challenges come from three aspects. First, qualitative experiments show that our system is able to support a lot of approaches that may work on a smaller dataset become im- various applications on Bing website and apps. -
10 Search Engines Suitable for Children
www.medialiteracycouncil.sg 10 Search Engines suitable for Children Even if you have installed internet filters, there is no 100% guarantee that your kids will not be able to access or stumble onto inappropriate content like adult or horror content that may be disturbing for kids. Help is however on hand, in the form of “safe search engines” which help children find relevant information in a safe, kid-friendly setting. These search engines do not display results or images that are inappropriate for children. They are useful tools for children when they need to research on stuff for their school work or simply to explore the internet on their own. Get your kids to use one of these search engines today! 1. Safe Search (www.google.safesearchkids.com) – This search engine was the brainchild of a UK company that is dedicated to providing the best online resources for kids. It uses Google’s SafeSearch technology to filter out offensive content and also removes distracting ads from search results. It is a great site for home and school use. Unlike other Google Safe Search engines for kids, SafeSearch for Kids does not feature picture icons by search results, hence preventing the kids from seeing any inappropriate images unintentionally. SafeSearch for Kids is the child friendly search engine where safe search is always 'on', powered by Google. The safe browsing feature allows your kids to safely surf the web with a much lower risk of accidentally seeing illicit material. 2. Fact Monster (http://www.factmonster.com) – Does your child need help researching an assignment for school? Fact Monster is a free online almanac, dictionary, encyclopedia and thesaurus which will help kids quickly find the information they need. -
The Commodification of Search
San Jose State University SJSU ScholarWorks Master's Theses Master's Theses and Graduate Research 2008 The commodification of search Hsiao-Yin Chen San Jose State University Follow this and additional works at: https://scholarworks.sjsu.edu/etd_theses Recommended Citation Chen, Hsiao-Yin, "The commodification of search" (2008). Master's Theses. 3593. DOI: https://doi.org/10.31979/etd.wnaq-h6sz https://scholarworks.sjsu.edu/etd_theses/3593 This Thesis is brought to you for free and open access by the Master's Theses and Graduate Research at SJSU ScholarWorks. It has been accepted for inclusion in Master's Theses by an authorized administrator of SJSU ScholarWorks. For more information, please contact [email protected]. THE COMMODIFICATION OF SEARCH A Thesis Presented to The School of Journalism and Mass Communications San Jose State University In Partial Fulfillment of the Requirement for the Degree Master of Science by Hsiao-Yin Chen December 2008 UMI Number: 1463396 INFORMATION TO USERS The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleed-through, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. ® UMI UMI Microform 1463396 Copyright 2009 by ProQuest LLC. All rights reserved. This microform edition is protected against unauthorized copying under Title 17, United States Code. ProQuest LLC 789 E. -
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International Journal of Management & Information Systems – Fourth Quarter 2011 Volume 15, Number 4 History Of Search Engines Tom Seymour, Minot State University, USA Dean Frantsvog, Minot State University, USA Satheesh Kumar, Minot State University, USA ABSTRACT As the number of sites on the Web increased in the mid-to-late 90s, search engines started appearing to help people find information quickly. Search engines developed business models to finance their services, such as pay per click programs offered by Open Text in 1996 and then Goto.com in 1998. Goto.com later changed its name to Overture in 2001, and was purchased by Yahoo! in 2003, and now offers paid search opportunities for advertisers through Yahoo! Search Marketing. Google also began to offer advertisements on search results pages in 2000 through the Google Ad Words program. By 2007, pay-per-click programs proved to be primary money-makers for search engines. In a market dominated by Google, in 2009 Yahoo! and Microsoft announced the intention to forge an alliance. The Yahoo! & Microsoft Search Alliance eventually received approval from regulators in the US and Europe in February 2010. Search engine optimization consultants expanded their offerings to help businesses learn about and use the advertising opportunities offered by search engines, and new agencies focusing primarily upon marketing and advertising through search engines emerged. The term "Search Engine Marketing" was proposed by Danny Sullivan in 2001 to cover the spectrum of activities involved in performing SEO, managing paid listings at the search engines, submitting sites to directories, and developing online marketing strategies for businesses, organizations, and individuals. -
Interpix Introduces Enhanced Visual Search Engine That Uses Text
Interpix Introduces Enhanced Visual Search Engine That Uses Text, Pictures To Locate Sites Yahoo!, Infoseek to Feature Link to New Internet Tool SANTA CLARA, CA -- September 27, 1996 -- Internet surfing just got easier with the introduction of Interpix Software Corporation's Image Surfer (http://isurf.interpix.com), a new tool available on the Internet which utilizes both key words and categories as its search criteria while displaying search results as pictures. Expanding its previous version, the new Image Surfer now adds a text-based search feature to its unique visual search engine, and will be a featured link on the new Infoseek Ultra service (http://ultra.infoseek.comhttp://ultra.infoseek.com) as well as Yahoo! (http://www.yahoo.com), where the original image-only search technology made its debut. On the Image Surfer Web site, users can type in key words or pick a particularly image-rich category such as "Cars," "Supermodels" or "Animation." Pictures from Web sites within the corresponding choice are displayed as "thumbnail" images (i.e. smaller versions of the actual pictures that take seconds to download) which offer a preview of what is contained on each page. Clicking on a thumbnail image will automatically access the Web site where that image is located. In addition to searching within the general categories, keywords can now be entered to find a collection of pictures for a specific subject. "Image Surfer's enhancement of the current Internet search process provides a unique solution for users interested in image-intensive Web browsing," said Michael T. Heylin, senior associate for San Francisco-based Creative Strategies Consulting. -
Visual Search Engine for Handwritten and Typeset Math in Lecture Videos and LATEX Notes
Visual Search Engine for Handwritten and Typeset Math in Lecture Videos and LATEX Notes Kenny Davila Richard Zanibbi Center for Unified Biometrics and Sensors Department of Computer Science University at Buffalo Rochester Institute of Technology Buffalo, NY 14260 Rochester, NY 14623 Email: [email protected] Email: [email protected] Abstract—To fill a gap in online educational tools, we are ways: 1) math is represented in images rather than symbolic working to support search in lecture videos using formulas representations such as LATEX code, and these images may from lecture notes and vice versa. We use an existing system to contain other content (e.g., text and diagrams), 2) we use a convert single-shot lecture videos to keyframe images that capture whiteboard contents along with the times they appear. We train non-hierarchical structure representation (Line-of-Sight (LOS) classifiers for handwritten symbols using the CROHME dataset, graphs), and 3) we use no language models apart from that and for LATEX symbols using generated images. Symbols detected represented in symbol recognizers, allowing extension to other in video keyframes and LATEX formula images are indexed using graphic types. Line-of-Sight graphs. For search, we lookup pairs of symbols that Our search engine is described in Sections III-V. Given a can ‘see’ each other, and connected pairs are merged to identify the largest match within each indexed image. We rank matches binary image, handwritten or typeset symbol recognition is using symbol class probabilities and angles between symbol pairs. applied. Detected symbols are then used to construct a Line- We demonstrate how our method effectively locates formulas of-Sight graph, with edges between pairs of symbols that ‘see’ between typeset and handwritten images using a set of linear one another along a straight line. -
Visual Search Application for Android
San Jose State University SJSU ScholarWorks Master's Projects Master's Theses and Graduate Research Fall 2012 VISUAL SEARCH APPLICATION FOR ANDROID Harsh Patel San Jose State University Follow this and additional works at: https://scholarworks.sjsu.edu/etd_projects Recommended Citation Patel, Harsh, "VISUAL SEARCH APPLICATION FOR ANDROID" (2012). Master's Projects. 260. DOI: https://doi.org/10.31979/etd.zf83-mgzy https://scholarworks.sjsu.edu/etd_projects/260 This Master's Project is brought to you for free and open access by the Master's Theses and Graduate Research at SJSU ScholarWorks. It has been accepted for inclusion in Master's Projects by an authorized administrator of SJSU ScholarWorks. For more information, please contact [email protected]. THE VISUAL SEARCH APPLICATION FOR ANDROID A Project Report Presented to The Faculty of the Department of Computer Science San Jose State University In Partial Fulfillment of the Requirements for the Degree Master of Science Submitted By: Harsh Patel June 2012 i © 2012 Harsh Patel ALL RIGHTS RESERVED SAN JOSÉ STATE UNIVERSITY ii The Undersigned Project Committee Approves the Project Titled VISUAL SEARCH APPLICATION FOR ANDROID By Harsh Patel APPROVED FOR THE DEPARTMENT OF COMPUTER SCIENCE __________________________________________________________ Dr. Soon Teoh, Department of Computer Science Date __________________________________________________________ Dr. Robert Chun, Department of Computer Science Date __________________________________________________________ Rajan Vyas, Software Engineer at Healthline Networks Date __________________________________________________________ Associate Dean Office of Graduate Studies and Research Date iii ABSTRACT The Visual Search Application for Android The Search Engine has played an important role in information society. Information in the form of text or a visual image is easily available over the internet. -
Introduction to Web Search Engines
Journal of Novel Applied Sciences Available online at www.jnasci.org ©2014 JNAS Journal-2014-3-7/724-728 ISSN 2322-5149 ©2014 JNAS INTRODUCTION TO WEB SEARCH ENGINES Mohammad Reza pourmir Computer Engineering Department, Faculty of Engineering, University of zabol, Zabol, Iran Corresponding author: Mohammad Reza Pourmir ABSTRACTA: web search engine is a program designed to help find information stored on the World Wide Web. Search engine indexes are similar, but vastly more complex that back of the book indexes. The quality of the indexes, and how the engines use the information they contain, is what makes or breaks the quality of search results. The vast majority of users navigate the Web via search engines. Yet searching can be the most frustrating activity using a browser. Type in a keyword or phrase, and we're likely to get thousands of responses, only a handful of which are close to what we looking for. And those are located on secondary search pages, only after a set of sponsored links or paid-for-position advertisements. Still, search engines have come a long way in the past few years. Although most of us will never want to become experts on web indexing, knowing even a little bit about how they're built and used can vastly improve our searching skills. This paper gives a brief introduction to the web search engines, architecture, the work process, challenges faced by search engines, discuss various searching strategies, and the recent technologies in the web mining field. Keywords: Introduction, Web Search, Engines. INTRODUCTION A web search engine is a program designed to help find information stored on the World Wide Web. -
Searching for Audiovisual Content Cover [6Mm].Indd 1 2/12/08 16:35:39 IRIS Special: Searching for Audiovisual Content
Available in English, Special Serie French and German What can you expect from IRIS Special What is the source of the IRIS Special in terms of content? expertise? Published by the European IRIS Special is a series of publications from the European Every edition of IRIS Special is produced by the European Audiovisual Observatory that provides you comprehensive Audiovisual Observatory’s legal information department in Audiovisual Observatory factual information coupled with in-depth analysis. The themes cooperation with its partner organisations and an extensive chosen for IRIS Special are all topical issues in media law, which network of experts in media law. we explore for you from a legal perspective. IRIS Special’s The themes are either discussed at invitation-only workshops approach to its content is tri-dimensional, with overlap in or tackled by selected guest authors. Workshop participants some cases, depending on the theme. It offers: and authors are chosen in order to represent a wide range of 1. a detailed survey of relevant national legislation to facilitate professional, academic, national and cultural backgrounds. comparison of the legal position in different countries, for example IRIS Special: Broadcasters’ Obligations to Invest in IRIS Special - unique added value Cinematographic Production describes the rules applied by IRIS Special publications explore selected legal themes in a way that 34 European states; makes them accessible not just to lawyers. Every edition combines 2. identification and analysis of highly relevant issues, a high level of practical relevance with academic rigour. covering legal developments and trends as well as suggested While IRIS Special concentrates on issues and interactions solutions: for example IRIS Special, Audiovisual Media within Europe, it takes a broader geographical scope when the Services without Frontiers – Implementing the Rules offers theme so requires. -
No Tresspassing. Have License, Can Hyperlink
No Trespassing! Have License, Can Hyperlink. Sylvia Mercado Kierkegaard [email protected] Abstract prompted the filing of lawsuits involving the issue of unsolicited hyperlinking. The courts have applied the The burgeoning amount of information on the Internet traditional doctrine of copyright and trademark in some has given rise to the need for efficient methods to link instances , but in general, courts, most of the times, are at web pages. It has not only grown with the expansion of the loss how to deal with this kind of situation. Linking Internet, but has resulted in numerous disputes regarding documents is still a relatively new phenomenon. its legality. Linking to and framing of content contained Deep linking still appears to be in legal limbo. The on an unrelated web site is controversial. Under current legal answer is by no means clear and commentators hold copyright law, almost any artistic or linguistic widely diverging opinions. Different courts will arrive at composition which may be posted on a web site is likely to different results. The purpose of this paper is to pinpoint be copyrighted. some of the major problems arising from the interaction of Numerous cases have been brought before various copyright law and the Internet technologies. In particular, national courts claiming that hyper linking and framing this article analyses the assertion that associational tools infringe copyrights, trademark dilution, unfair on the Web may infringe copyright, trademark, and fair competition, breach of confidentiality, and trespassing. competition. The courts have applied the traditional doctrine of copyright and trademark in some instances. But in general, 2.