Crawler Based Search Engines Examples
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Building a Scalable Index and a Web Search Engine for Music on the Internet Using Open Source Software
Department of Information Science and Technology Building a Scalable Index and a Web Search Engine for Music on the Internet using Open Source software André Parreira Ricardo Thesis submitted in partial fulfillment of the requirements for the degree of Master in Computer Science and Business Management Advisor: Professor Carlos Serrão, Assistant Professor, ISCTE-IUL September, 2010 Acknowledgments I should say that I feel grateful for doing a thesis linked to music, an art which I love and esteem so much. Therefore, I would like to take a moment to thank all the persons who made my accomplishment possible and hence this is also part of their deed too. To my family, first for having instigated in me the curiosity to read, to know, to think and go further. And secondly for allowing me to continue my studies, providing the environment and the financial means to make it possible. To my classmate André Guerreiro, I would like to thank the invaluable brainstorming, the patience and the help through our college years. To my friend Isabel Silva, who gave me a precious help in the final revision of this document. Everyone in ADETTI-IUL for the time and the attention they gave me. Especially the people over Caixa Mágica, because I truly value the expertise transmitted, which was useful to my thesis and I am sure will also help me during my professional course. To my teacher and MSc. advisor, Professor Carlos Serrão, for embracing my will to master in this area and for being always available to help me when I needed some advice. -
An Annotated Bibliography
Mark Andrea Standards in Single Search: An Annotated Bibliography Mark Andrea INFO 522: Information Access & Resources Winter Quarter 2010 Mark Andrea Introduction and Scope The following bibliography is a survey of scholarly literature in the field of metasearch standards as defined by the Library of Congress (LOC) and the National Information Standards Organization (NISO). Of particular interest is the application of the various protocols, as described by the standards, to real world searching of library literature found in scholarly databases, library catalogs and internally collected literature. These protocols include z39.50, Search Retrieval URL (SRU), Search Retrieval Web Service (SRW) and Context Query Language (CQL) as well as Metasearch XML Gateway (MXG). Description Libraries must compete with the web to capture users who often do not consider the wealth of information resources provided by the library. This has only been an issue in the last decade. Prior to that, most users, and that includes academic and specialty library users such as corporate users, went to a physical library for their research. With the rise of web-based information, users have become accustomed to easy keyword searching from web pages where sources can range from known and established authority to completely the opposite. Libraries have responded with attempts to provide easy search interfaces on top of complex materials that have been cataloged and indexed according to controlled vocabularies and other metadata type tools. These tools have enabled users for decades effectively find information. In some cases it’s merely an issue of education that most researchers are lacking. So are these metasearch systems ultimately a step backward to accommodate the new search community or do they really address the need to find information that continues to grow exponentially. -
Open Search Environments: the Free Alternative to Commercial Search Services
Open Search Environments: The Free Alternative to Commercial Search Services. Adrian O’Riordan ABSTRACT Open search systems present a free and less restricted alternative to commercial search services. This paper explores the space of open search technology, looking in particular at lightweight search protocols and the issue of interoperability. A description of current protocols and formats for engineering open search applications is presented. The suitability of these technologies and issues around their adoption and operation are discussed. This open search approach is especially useful in applications involving the harvesting of resources and information integration. Principal among the technological solutions are OpenSearch, SRU, and OAI-PMH. OpenSearch and SRU realize a federated model to enable content providers and search clients communicate. Applications that use OpenSearch and SRU are presented. Connections are made with other pertinent technologies such as open-source search software and linking and syndication protocols. The deployment of these freely licensed open standards in web and digital library applications is now a genuine alternative to commercial and proprietary systems. INTRODUCTION Web search has become a prominent part of the Internet experience for millions of users. Companies such as Google and Microsoft offer comprehensive search services to users free with advertisements and sponsored links, the only reminder that these are commercial enterprises. Businesses and developers on the other hand are restricted in how they can use these search services to add search capabilities to their own websites or for developing applications with a search feature. The closed nature of the leading web search technology places barriers in the way of developers who want to incorporate search functionality into applications. -
Local Search 101
Local search 101 Modern consumers start their shopping journeys on search engines and online directories. The results they get from those sites determine where they spend their money. If you don’t appear in the local search results, that sale goes to your competitor. What We Do For You Listings Management Listings Management ensures your online content is accurate and relevant. Our platform will get your locations listed and crawled for updates daily, weekly or monthly. Reputation Management Reputation Management within the platform allows you to monitor and respond to your reviews from directories including Google and Facebook. Keyword Ranking 80% of shoppers Keyword Ranking monitoring to make sure your keywords are performing so you can optimize where and when it search online matters. to find brick-and-mortar stores & 90% of all transactions Actionable Analytics are made in-store. Actionable Analytics allow you to track the performance of each of your locations — from the baseline measurement (Sources: Deloitte, Gartner) of your listings coverage and accuracy all the way to the revenue generated by your local marketing campaigns. We help you get found online. Getting your business found across the internet takes time and expertise to get it right. Our automated software takes care of the hard work for you, and drives customers to your locations. Local searches = motivated shoppers 51% of local searches convert to in-store sales within 24 hours (Source: Google) Why local? Marketing is about connecting with your customers. And today's consumer is local, and they are mobile. Consumers are searching for your business on their smartphones, and if you aren't there - they will choose your competition. -
Efficient Focused Web Crawling Approach for Search Engine
Ayar Pranav et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.5, May- 2015, pg. 545-551 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IJCSMC, Vol. 4, Issue. 5, May 2015, pg.545 – 551 RESEARCH ARTICLE Efficient Focused Web Crawling Approach for Search Engine 1 2 Ayar Pranav , Sandip Chauhan Computer & Science Engineering, Kalol Institute of Technology and Research Canter, Kalol, Gujarat, India 1 [email protected]; 2 [email protected] Abstract— a focused crawler traverses the web, selecting out relevant pages to a predefined topic and neglecting those out of concern. Collecting domain specific documents using focused crawlers has been considered one of most important strategies to find relevant information. While surfing the internet, it is difficult to deal with irrelevant pages and to predict which links lead to quality pages. However most focused crawler use local search algorithm to traverse the web space, but they could easily trapped within limited a sub graph of the web that surrounds the starting URLs also there is problem related to relevant pages that are miss when no links from the starting URLs. There is some relevant pages are miss. To address this problem we design a focused crawler where calculating the frequency of the topic keyword also calculate the synonyms and sub synonyms of the keyword. The weight table is constructed according to the user query. To check the similarity of web pages with respect to topic keywords and priority of extracted link is calculated. -
Distributed Indexing/Searching Workshop Agenda, Attendee List, and Position Papers
Distributed Indexing/Searching Workshop Agenda, Attendee List, and Position Papers Held May 28-19, 1996 in Cambridge, Massachusetts Sponsored by the World Wide Web Consortium Workshop co-chairs: Michael Schwartz, @Home Network Mic Bowman, Transarc Corp. This workshop brings together a cross-section of people concerned with distributed indexing and searching, to explore areas of common concern where standards might be defined. The Call For Participation1 suggested particular focus on repository interfaces that support efficient and powerful distributed indexing and searching. There was a great deal of interest in this workshop. Because of our desire to limit attendance to a workable size group while maximizing breadth of attendee backgrounds, we limited attendance to one person per position paper, and furthermore we limited attendance to one person per institution. In some cases, attendees submitted multiple position papers, with the intention of discussing each of their projects or ideas that were relevant to the workshop. We had not anticipated this interpretation of the Call For Participation; our intention was to use the position papers to select participants, not to provide a forum for enumerating ideas and projects. As a compromise, we decided to choose among the submitted papers and allow multiple position papers per person and per institution, but to restrict attendance as noted above. Hence, in the paper list below there are some cases where one author or institution has multiple position papers. 1 http://www.w3.org/pub/WWW/Search/960528/cfp.html 1 Agenda The Distributed Indexing/Searching Workshop will span two days. The first day's goal is to identify areas for potential standardization through several directed discussion sessions. -
Natural Language Processing Technique for Information Extraction and Analysis
International Journal of Research Studies in Computer Science and Engineering (IJRSCSE) Volume 2, Issue 8, August 2015, PP 32-40 ISSN 2349-4840 (Print) & ISSN 2349-4859 (Online) www.arcjournals.org Natural Language Processing Technique for Information Extraction and Analysis T. Sri Sravya1, T. Sudha2, M. Soumya Harika3 1 M.Tech (C.S.E) Sri Padmavati Mahila Visvavidyalayam (Women’s University), School of Engineering and Technology, Tirupati. [email protected] 2 Head (I/C) of C.S.E & IT Sri Padmavati Mahila Visvavidyalayam (Women’s University), School of Engineering and Technology, Tirupati. [email protected] 3 M. Tech C.S.E, Assistant Professor, Sri Padmavati Mahila Visvavidyalayam (Women’s University), School of Engineering and Technology, Tirupati. [email protected] Abstract: In the current internet era, there are a large number of systems and sensors which generate data continuously and inform users about their status and the status of devices and surroundings they monitor. Examples include web cameras at traffic intersections, key government installations etc., seismic activity measurement sensors, tsunami early warning systems and many others. A Natural Language Processing based activity, the current project is aimed at extracting entities from data collected from various sources such as social media, internet news articles and other websites and integrating this data into contextual information, providing visualization of this data on a map and further performing co-reference analysis to establish linkage amongst the entities. Keywords: Apache Nutch, Solr, crawling, indexing 1. INTRODUCTION In today’s harsh global business arena, the pace of events has increased rapidly, with technological innovations occurring at ever-increasing speed and considerably shorter life cycles. -
How to Choose a Search Engine Or Directory
How to Choose a Search Engine or Directory Fields & File Types If you want to search for... Choose... Audio/Music AllTheWeb | AltaVista | Dogpile | Fazzle | FindSounds.com | Lycos Music Downloads | Lycos Multimedia Search | Singingfish Date last modified AllTheWeb Advanced Search | AltaVista Advanced Web Search | Exalead Advanced Search | Google Advanced Search | HotBot Advanced Search | Teoma Advanced Search | Yahoo Advanced Web Search Domain/Site/URL AllTheWeb Advanced Search | AltaVista Advanced Web Search | AOL Advanced Search | Google Advanced Search | Lycos Advanced Search | MSN Search Search Builder | SearchEdu.com | Teoma Advanced Search | Yahoo Advanced Web Search File Format AllTheWeb Advanced Web Search | AltaVista Advanced Web Search | AOL Advanced Search | Exalead Advanced Search | Yahoo Advanced Web Search Geographic location Exalead Advanced Search | HotBot Advanced Search | Lycos Advanced Search | MSN Search Search Builder | Teoma Advanced Search | Yahoo Advanced Web Search Images AllTheWeb | AltaVista | The Amazing Picture Machine | Ditto | Dogpile | Fazzle | Google Image Search | IceRocket | Ixquick | Mamma | Picsearch Language AllTheWeb Advanced Web Search | AOL Advanced Search | Exalead Advanced Search | Google Language Tools | HotBot Advanced Search | iBoogie Advanced Web Search | Lycos Advanced Search | MSN Search Search Builder | Teoma Advanced Search | Yahoo Advanced Web Search Multimedia & video All TheWeb | AltaVista | Dogpile | Fazzle | IceRocket | Singingfish | Yahoo Video Search Page Title/URL AOL Advanced -
Press Release
GenieKnows.com Gains Access to Business- Verified Listings Through Partnership with Localeze May 1, 2008 New Local Search Engine Player Partners with Localeze to Provide Users with Enhanced Content, Offers 16 Million U.S. Business Listings SEATTLE Wa., – Localeze, the leading expert on local search engine business content management, announced today that it has partnered with GenieKnows.com to provide over 16 million U.S. business listings including listings directly verified and enhanced by businesses to GenieKnows’ local business directory search engine, GenieKnows Local. Genie Knows Local allows users to quickly pinpoint local businesses via map, and view addresses, phone numbers, reviews, references and related Web sites trough a unique hybrid landing page. Alongside Google and MSN, GenieKnows Local is one of only three search engines covering all of the U.S. and Canada. GenieKnows Local provides the ultimate combination in mapping technology and local search directories. Using its patent pending GeoRank™ algorithm, GenieKnows Local links verified business listings with potentially uncategorized web pages containing addresses. The algorithm extracts and codes the addresses, identifying the geographic coordinates with which the listings are associated. “The volume of new and repeat visits to GenieKnows Local will be driven by our ability to bridge ready-to-buy consumers with the right local businesses online,” said John Manning, senior vice president of business development at GenieKnows. “The decision to partner with Localeze for our U.S. content was natural one; Localeze’s unparalleled data integrity, which includes enhanced and up-to-date local business listings, will undoubtedly improve the search experience for GenieKnows Local’s users.” Localeze creates accurate, comprehensive, listing profiles on local businesses, and then uses proprietary intelligent category classification and keyword matching logic to interpret and tag the data exclusively for local search engines. -
BUEC Buzz Archive (1999-2005)
BUEC Buzz: Archive (1999-2005) Simon Fraser University Library SFU.CA Burnaby | Surrey | Vancouver SFU Online | A-Z Links | SFU Search Home My Library Help Find Library Search Home › Help › Subject Guides › Business Administration › BUEC Buzz › BUEC BUZZ Issue -= BUEC BUZZ: Information Resources in Business and Economics (#993-1) =- **Announcing the first issue of BUEC BUZZ: Information Resources in Business and Economics.** Details about this newsletter follow, but the summary version is that I have created it as a means of informing the faculty and graduate students in Business and Economics of the many relevant information resources that I use as I help people with their research every day. I will generally send new issues out on a weekly basis, although this schedule may stretch to bi-weekly depending on how much I have to say and how busy I am. No action is required of you. Just delete or archive these messages as you see fit. On the other hand, suggestions about resources to mention for the benefit of your colleagues are always welcome. And now the details: 1. WHY is this newsletter necessary? 2. WHAT will be in this newsletter? 3. WHEN will each issue come out? 4. WHERE can I find old issues of the newsletter? 5. WHO will receive it? 6. SUGGESTIONS? ********************************************************************** **1. WHY is this newsletter necessary? As the Business/Economics Liaison Librarian, my job is to be the "library's face" for the Business Faculty and the Economics Department. That is, I am a personal contact for people in those areas who have a question about a library resource, policy, or procedure. -
28 Buscadores Libro.Indb
notes fromebcenter The Converging Search Engine and Advertising Industries Av. Pearson, 21 08034 Barcelona Tel.: 93 253 42 00 Fax: 93 253 43 43 www.ebcenter.org Top Ten Technologies Project The Converging Search Engine and Advertising Industries Authors: Prof. Brian Subirana, Information Systems, IESE Business School David Wright, research Assistant, e-business Center Pwc&IESE Editors: Larisa Tatge and Cristina Puig www.ebcenter.org This dossier is part of the Top Ten Technologies Project. For more information please visit http://www.ebcenter.org/topten You can an also find other projects at http://www.ebcenter.org/proyectos e-business Center PwC&IESE edits a newsletter every fifteen days, available at www.ebcenter.org © 2007. e-business Center PricewaterhouseCoopers & IESE. All rights reserved. notes fromebcenter The Converging Search Engine and Advertising Industries Authors: Prof. Brian Subirana, Information Systems, IESE Business School David Wright, Research assistant, e-business Center Pwc&IESE notes fromebcenter Table of Contents Executive Summary ..5 Introduction ..7 1. Technology Description ..9 1.1. History of Text-Based Search Engines ..9 1.2. Description of Applications ..9 1.3. Substitute Products ..11 2. Description of the Firms ..13 2.1. Search Engines and Their Technology ..14 2.2. Competitive Forces ..17 2.3. Consumer Preferences in Search ..22 2.4. New Search Technologies ..23 2.5. Search-Engine Optimization ..25 3. Affected Sectors ..27 3.1. Advertising ..27 3.2. Search-Engine Advertising ..28 3.3. How Search Advertising Works ..32 3.4. Digital Intermediaries ..38 3.5. Original Equipment Manufacturers (OEMs) ..39 3.6. Software and Applications Providers ..39 3.7. -
Your Local Business Guide to Digital Marketing
Your Local Business Guide to Digital Marketing By Isabella Andersen Your Local Business Guide to Digital Marketing By Isabella Andersen Senior Content Writer Table of Contents Introduction 3 What Is Local Search Marketing? 5 Develop a Successful Review Marketing Strategy 10 Reach New Markets With Paid Advertising 15 Get Started With Social Media 19 Tips, Tricks & Trends 26 Sources 29 YOUR LOCAL BUSINESS GUIDE TO DIGITAL MARKETING ⋅ REVLOCAL.COM 2 1 Introduction id you know that 78 percent of local mobile searches result in Dan in-store purchase?1 Consumers search online for businesses like yours every day, but are you showing up? of local mobile searches end with 78% an oine purchase. If your business has no online marketing strategy, you will quickly fall behind the competition. It's time to build a digital footprint that drives foot traffic and sales and puts your business on the map. We created this guide to help you put your business in front of the right consumers wherever they're searching. YOUR LOCAL BUSINESS GUIDE TO DIGITAL MARKETING ⋅ REVLOCAL.COM 4 What is Local Search 2 Marketing? Some people call it local SEO. For others, it's map marketing. Whatever you call it, local search marketing is all about putting your business on the map and into local search results online. It's more important than ever that your business appears in the local results, since 72 percent of consumers who performed a local search visited a store within five miles.2 How can you do that? Provide Consistent, Correct Information You have to tell search engines like Google, Bing and Yahoo! where your business is located, what you do and that you're trustworthy, among other things.