NEW SEMANTIC DISTRIBUTED SEARCH ENGINE 1 Introduction
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Duckduckgo Search Engines Android
Duckduckgo search engines android Continue 1 5.65.0 10.8MB DuckduckGo Privacy Browser 1 5.64.0 10.8MB DuckduckGo Privacy Browser 1 5.63.1 10.78MB DuckduckGo Privacy Browser 1 5.62.0 10.36MB DuckduckGo Privacy Browser 1 5.61.2 10.36MB DuckduckGo Privacy Browser 1 5.60.0 10.35MB DuckduckGo Privacy Browser 1 5.59.1 10.35MB DuckduckGo Privacy Browser 1 5.58.1 10.33MB DuckduckGo Privacy Browser 1 5.57.1 10.31MB DuckduckGo Privacy browser © DuckduckGo. Privacy, simplified. This article is about the search engine. For children's play, see duck, duck, goose. Internet search engine DuckDuckGoScreenshot home page DuckDuckGo on 2018Type search engine siteWeb Unavailable inMultilingualHeadquarters20 Paoli PikePaoli, Pennsylvania, USA Area servedWorldwideOwnerDuck Duck Go, Inc., createdGabriel WeinbergURLduckduckgo.comAlexa rank 158 (October 2020 update) CommercialRegregedSeptember 25, 2008; 12 years ago (2008-09-25) was an Internet search engine that emphasized the privacy of search engines and avoided the filter bubble of personalized search results. DuckDuckGo differs from other search engines by not profiling its users and showing all users the same search results for this search term. The company is based in Paoli, Pennsylvania, in Greater Philadelphia and has 111 employees since October 2020. The name of the company is a reference to the children's game duck, duck, goose. The results of the DuckDuckGo Survey are a compilation of more than 400 sources, including Yahoo! Search BOSS, Wolfram Alpha, Bing, Yandex, own web scanner (DuckDuckBot) and others. It also uses data from crowdsourcing sites, including Wikipedia, to fill in the knowledge panel boxes to the right of the results. -
EFF, Duckduckgo, and Internet Archive Amicus Brief
Case: 17-16783, 11/27/2017, ID: 10667942, DktEntry: 42, Page 1 of 39 NO. 17-16783 IN THE UNITED STATES COURT OF APPEALS FOR THE NINTH CIRCUIT HIQ LABS, INC., PLAINTIFF-APPELLEE, V. LINKEDIN CORPORATION, DEFENDANT-APPELLANT. On Appeal from the United States District Court for the Northern District of California Case No. 3:17-cv-03301-EMC The Honorable Edward M. Chen, District Court Judge BRIEF OF AMICI CURIAE ELECTRONIC FRONTIER FOUNDATION, DUCKDUCKGO, AND INTERNET ARCHIVE IN SUPPORT OF PLAINTIFF-APPELLEE Jamie Williams Corynne McSherry Cindy Cohn Nathan Cardozo ELECTRONIC FRONTIER FOUNDATION 815 Eddy Street San Francisco, CA 94109 Email: [email protected] Telephone: (415) 436-9333 Counsel for Amici Curiae Case: 17-16783, 11/27/2017, ID: 10667942, DktEntry: 42, Page 2 of 39 DISCLOSURE OF CORPORATE AFFILIATIONS AND OTHER ENTITIES WITH A DIRECT FINANCIAL INTEREST IN LITIGATION Pursuant to Rule 26.1 of the Federal Rules of Appellate Procedure, Amici Curiae Electronic Frontier Foundation, DuckDuckGo, and Internet Archive each individually state that they do not have a parent corporation and that no publicly held corporation owns 10 percent or more of their stock. i Case: 17-16783, 11/27/2017, ID: 10667942, DktEntry: 42, Page 3 of 39 TABLE OF CONTENTS CORPORATE DISCLOSURE STATEMENTS ..................................................... i TABLE OF CONTENTS ...................................................................................... ii TABLE OF AUTHORITIES ............................................................................... -
EVERYTHING YOU NEED to KNOW ABOUT SEMANTIC SEO by GENNARO CUOFANO, ANDREA VOLPINI, and MARIA SILVIA SANNA the Semantic Web Is Here
WHITE PAPER EVERYTHING YOU NEED TO KNOW ABOUT SEMANTIC SEO BY GENNARO CUOFANO, ANDREA VOLPINI, AND MARIA SILVIA SANNA The Semantic Web is here. Those that are taking advantage of Semantic Technologies to build a Semantic SEO strategy are benefiting from staggering results. From a research paper put together with the team atWordLift , presented at SEMANTiCS 2017, we documented that structured data is compelling from the digital marketing standpoint. For instance, on the analysis of the design-focused website freeyork.org, after three months of using structured data in their WordPress website we saw the following improvements: • +12.13% new users • +18.47% increase in organic traffic • +2.4 times increase in page views • +13.75% of sessions duration In other words, many still think of Semantic Technologies belonging to the future, when in reality quite a few players in the digital marketing space are taking advantage of them already. Semantic SEO is a new and powerful way to make your content strategy more effective. In this article/guide I will explain from scratch what Semantic SEO is and why it’s important. Why Semantic SEO? In a nutshell, search engines need context to understand a query properly and to fetch relevant results for it. Contexts are built using words, expressions, and other combinations of words and links as they appear in bodies of knowledge such as encyclopedias and large corpora of text. Semantic SEO is a marketing technique that improves the traffic of a website byproviding meaningful data that can unambiguously answer a specific search intent. It is also a way to create clusters of content that are semantically grouped into topics rather than keywords. -
The Autonomous Surfer
Renée Ridgway The Autonomous Surfer CAIS Report Fellowship Mai bis Oktober 2018 GEFÖRDERT DURCH RIDGWAY The Autonomous Surfer Research Questions The Autonomous Surfer endeavoured to discover the unknown unknowns of alternative search through the following research questions: What are the alternatives to Google search? What are their hidden revenue models, even if they do not collect user data? How do they deliver divergent (and qualitative) results or knowledge? What are the criteria that determine ranking and relevance? How do p2p search engines such as YaCy work? Does it deliver alternative results compared to other search engines? Is there still a movement for a larger, public index? Can there be serendipitous search, which is the ability to come across books, articles, images, information, objects, and so forth, by chance? Aims and Projected Results My PhD research investigates Google search – its early development, its technological innovation, its business model of the past 20 years and how it works now. Furthermore, I have experimented with Tor (The Onion Router) in order to find out if I could be anonymous online, and if so, would I receive diver- gent results from Google with the same keywords. For my fellowship at CAIS I decided to first research search engines that were incorporated into the Tor browser as default (Startpage, Disconnect) or are the default browser now (DuckDuckGo). I then researched search engines in my original CAIS proposal that I had come across in my PhD but hadn’t had the time to research; some are from the Society of the Query Reader (2014) and others I found en route or on colleagues’ suggestions. -
On Using Product-Specific Schema.Org from Web Data Commons: an Empirical Set of Best Practices
On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices Ravi Kiran Selvam Mayank Kejriwal [email protected] [email protected] USC Information Sciences Institute USC Information Sciences Institute Marina del Rey, California Marina del Rey, California ABSTRACT both to advertise and find products on the Web, in no small part Schema.org has experienced high growth in recent years. Struc- due to the ability of search engines to make good use of this data. tured descriptions of products embedded in HTML pages are now There is also limited evidence that structured data plays a key role not uncommon, especially on e-commerce websites. The Web Data in populating Web-scale knowledge graphs such as the Google Commons (WDC) project has extracted schema.org data at scale Knowledge Graph that are essential to modern semantic search from webpages in the Common Crawl and made it available as an [17]. RDF ‘knowledge graph’ at scale. The portion of this data that specif- However, even though most e-commerce platforms have their ically describes products offers a golden opportunity for researchers own proprietary datasets, some resources do exist for smaller com- and small companies to leverage it for analytics and downstream panies, researchers and organizations. A particularly important applications. Yet, because of the broad and expansive scope of this source of data is schema.org markup in webpages. Launched in data, it is not evident whether the data is usable in its raw form. In the early 2010s by major search engines such as Google and Bing, this paper, we do a detailed empirical study on the product-specific schema.org was designed to facilitate structured (and even knowl- schema.org data made available by WDC. -
GOGGLES: Democracy Dies in Darkness, and So Does the Web
GOGGLES: Democracy dies in darkness, and so does the Web Brave Search Team Brave Munich, Germany [email protected] Abstract of information has led to a significant transfer of power from cre- This paper proposes an open and collaborative system by which ators to aggregators. Access to information has been monopolized a community, or a single user, can create sets of rules and filters, by companies like Google and Facebook [27]. While everything is called Goggles, to define the space which a search engine can pull theoretically still retrievable, in practice we are looking at the world results from. Instead of a single ranking algorithm, we could have through the biases of a few providers, who act, unintentionally or as many as needed, overcoming the biases that a single actor (the not, as gatekeepers. Akin to the thought experiment about the tree search engine) embeds into the results. Transparency and openness, falling in the forest [3], if a page is not listed on Google’s results all desirable qualities, will become accessible through the deep re- page or in the Facebook feed, does it really exist? ranking capabilities Goggles would enable. Such system would be The biases of Google and Facebook, whether algorithmic, data made possible by the availability of a host search engine, providing induced, commercial or political dictate what version of the world the index and infrastructure, which are unlikely to be replicated we get to see. Reality becomes what the models we are fed depict without major development and infrastructure costs. Besides the it to be [24]. -
Implementation of Intelligent Semantic Web Search Engine
International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 4 Issue 04, April-2015 Implementation of Intelligent Semantic Web Search Engine Dinesh Jagtap*1, Nilesh Argade1, Shivaji Date1, Sainath Hole1, Mahendra Salunke2 1Department of Computer Engineering, 2Associate Professor, Department of Computer Engineering Sinhgad Institute of Technology and Science, Pune, Maharashtra, India 411041. II. BACKGROUND Abstract—Search engines are design for to search particular The idea of search engine and info retrieval from search information for a large database that is from World Wide engine is not a new concept. The interesting thing about Web. There are lots of search engines available. Google, traditional search engine is that different search engine will yahoo, Bing are the search engines which are most widely provide different result for the same query. While used search engines in today. The main objective of any search engines is to provide particular or required information was available in web, we have some fields of information with minimum time. The semantics web search problem in search engines. Information retrieval by engines are the next version of traditional search engines. The searching information on the web is not a fresh idea but has main problem of traditional search engines is that different challenges when it is compared to general information retrieval from the database is difficult or takes information retrieval. Different search engines return long time. Hence efficiency of search engines is reduced. To different search results due to the variation in indexing and overcome this intelligent semantic search engines are search process. Google, Yahoo, and Bing have been out introduced. -
Mass Surveillance
Mass Surveillance Mass Surveillance What are the risks for the citizens and the opportunities for the European Information Society? What are the possible mitigation strategies? Part 1 - Risks and opportunities raised by the current generation of network services and applications Study IP/G/STOA/FWC-2013-1/LOT 9/C5/SC1 January 2015 PE 527.409 STOA - Science and Technology Options Assessment The STOA project “Mass Surveillance Part 1 – Risks, Opportunities and Mitigation Strategies” was carried out by TECNALIA Research and Investigation in Spain. AUTHORS Arkaitz Gamino Garcia Concepción Cortes Velasco Eider Iturbe Zamalloa Erkuden Rios Velasco Iñaki Eguía Elejabarrieta Javier Herrera Lotero Jason Mansell (Linguistic Review) José Javier Larrañeta Ibañez Stefan Schuster (Editor) The authors acknowledge and would like to thank the following experts for their contributions to this report: Prof. Nigel Smart, University of Bristol; Matteo E. Bonfanti PhD, Research Fellow in International Law and Security, Scuola Superiore Sant’Anna Pisa; Prof. Fred Piper, University of London; Caspar Bowden, independent privacy researcher; Maria Pilar Torres Bruna, Head of Cybersecurity, Everis Aerospace, Defense and Security; Prof. Kenny Paterson, University of London; Agustín Martin and Luis Hernández Encinas, Tenured Scientists, Department of Information Processing and Cryptography (Cryptology and Information Security Group), CSIC; Alessandro Zanasi, Zanasi & Partners; Fernando Acero, Expert on Open Source Software; Luigi Coppolino,Università degli Studi di Napoli; Marcello Antonucci, EZNESS srl; Rachel Oldroyd, Managing Editor of The Bureau of Investigative Journalism; Peter Kruse, Founder of CSIS Security Group A/S; Ryan Gallagher, investigative Reporter of The Intercept; Capitán Alberto Redondo, Guardia Civil; Prof. Bart Preneel, KU Leuven; Raoul Chiesa, Security Brokers SCpA, CyberDefcon Ltd.; Prof. -
Expert Knowledge Management Based on Ontology in a Digital Library
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by idUS. Depósito de Investigación Universidad de Sevilla EXPERT KNOWLEDGE MANAGEMENT BASED ON ONTOLOGY IN A DIGITAL LIBRARY Antonio Martín, Carlos León Departamento de Tecnología Electrónica, Seville University, Avda. Reina Mercedes S/N, Seville, Spain [email protected], [email protected] Keywords: Ontology, web services, Case-based reasoning, Digital Library, knowledge management, Semantic Web. Abstract: The architecture of the future Digital Libraries should be able to allow any users to access available knowledge resources from anywhere and at any time and efficient manner. Moreover to the individual user, there is a great deal of useless information in addition to the substantial amount of useful information. The goal is to investigate how to best combine Artificial Intelligent and Semantic Web technologies for semantic searching across largely distributed and heterogeneous digital libraries. The Artificial Intelligent and Semantic Web have provided both new possibilities and challenges to automatic information processing in search engine process. The major research tasks involved are to apply appropriate infrastructure for specific digital library system construction, to enrich metadata records with ontologies and enable semantic searching upon such intelligent system infrastructure. We study improving the efficiency of search methods to search a distributed data space like a Digital Library. This paper outlines the development of a Case- Based Reasoning prototype system based in an ontology for retrieval information of the Digital Library University of Seville. The results demonstrate that the used of expert system and the ontology into the retrieval process, the effectiveness of the information retrieval is enhanced. -
Applying Library Values to Emerging Technology Decision-Making in the Age of Open Access, Maker Spaces, and the Ever-Changing Library
ACRL Publications in Librarianship No. 72 Applying Library Values to Emerging Technology Decision-Making in the Age of Open Access, Maker Spaces, and the Ever-Changing Library Editors Peter D. Fernandez and Kelly Tilton Association of College and Research Libraries A division of the American Library Association Chicago, Illinois 2018 The paper used in this publication meets the minimum requirements of Ameri- can National Standard for Information Sciences–Permanence of Paper for Print- ed Library Materials, ANSI Z39.48-1992. ∞ Cataloging-in-Publication data is on file with the Library of Congress. Copyright ©2018 by the Association of College and Research Libraries. All rights reserved except those which may be granted by Sections 107 and 108 of the Copyright Revision Act of 1976. Printed in the United States of America. 22 21 20 19 18 5 4 3 2 1 Contents Contents Introduction .......................................................................................................ix Peter Fernandez, Head, LRE Liaison Programs, University of Tennessee Libraries Kelly Tilton, Information Literacy Instruction Librarian, University of Tennessee Libraries Part I Contemplating Library Values Chapter 1. ..........................................................................................................1 The New Technocracy: Positioning Librarianship’s Core Values in Relationship to Technology Is a Much Taller Order Than We Think John Buschman, Dean of University Libraries, Seton Hall University Chapter 2. ........................................................................................................27 -
Folksannotation: a Semantic Metadata Tool for Annotating Learning Resources Using Folksonomies and Domain Ontologies
FolksAnnotation: A Semantic Metadata Tool for Annotating Learning Resources Using Folksonomies and Domain Ontologies Hend S. Al-Khalifa and Hugh C. Davis Learning Technology Research Group, ECS, The University of Southampton, Southampton, UK {hsak04r/hcd}@ecs.soton.ac.uk Abstract Furthermore, web resources stored in social bookmarking services have potential for educational There are many resources on the Web which are use. In order to realize this potential, we need to add suitable for educational purposes. Unfortunately the an extra layer of semantic metadata to the web task of identifying suitable resources for a particular resources stored in social bookmarking services; this educational purpose is difficult as they have not can be done via adding pedagogical values to the web typically been annotated with educational metadata. resources so that they can be used in an educational However, many resources have now been annotated in context. an unstructured manner within contemporary social In this paper, we will focus on how to benefit from 2 bookmaking services. This paper describes a novel tool social bookmarking services (in particular del.icio.us ), called ‘FolksAnnotation’ that creates annotations with as vehicles to share and add semantic metadata to educational semantics from the del.icio.us bookmarked resources. Thus, the research question we bookmarking service, guided by appropriate domain are tackling is: how folksonomies can support the ontologies. semantic annotation of web resources from an educational perspective ? 1. Introduction The organization of the paper is as follows: Section 2 introduces folksonomies and social bookmarking Metadata standards such as Dublin Core (DC) and services. In section 3, we review some recent research IEEE-LOM 1 have been widely used in e-learning on folksonomies and social bookmarking services. -
Semantic Search on the Web
Semantic Web — Interoperability, Usability, Applicability 0 (0) 1 1 IOS Press Semantic Search on the Web Bettina Fazzinga a and Thomas Lukasiewicz b Semantic Web technology for interpreting Web search a Dipartimento di Elettronica, Informatica e queries and resources relative to one or more under- Sistemistica, Università della Calabria, Italy lying ontologies, describing some background domain E-mail: [email protected] knowledge, in particular, by connecting the Web re- b Computing Laboratory, University of Oxford, UK sources to semantic annotations, or by extracting se- E-mail: [email protected] mantic knowledge from Web resources. Such a search usually also aims at allowing for more complex Web search queries whose evaluation involves reasoning over the Web. Another common use of the notion of semantic search on the Web is the one as search in the Abstract. Web search is a key technology of the Web, since large datasets of the Semantic Web as a future substi- it is the primary way to access content on the Web. Cur- tute of the current Web. This second use is closely re- rent standard Web search is essentially based on a combi- nation of textual keyword search with an importance rank- lated to the first one, since the above semantic annota- ing of the documents depending on the link structure of the tion of Web resources, or alternatively the extraction of Web. For this reason, it has many limitations, and there are a semantic knowledge from Web resources, actually cor- plethora of research activities towards more intelligent forms responds to producing a knowledge base, which may of search on the Web, called semantic search on the Web, be encoded using Semantic Web technology.