DOCSLIB.ORG

Chapter 1 (Page 6) Search Engines

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text

Load more

SEO Certification Study Guide 2010 Training and preparation for the Search Engine Optimization Certification Exam www.SEOcertification.org Search Engine Optimization Course Objectives Introduction The Search Engine Optimization study guide is intended to prepare students to pass the SEO Certification Exam administered by www.SEOcertification.org. Upon completion, students will have obtained a thorough knowledge of Search Engine Optimization practices, procedures, tools, and techniques. 2 Copyright www.SEOcertification.org 2010, all rights reserved. Reproduction of this publication is not permitted. For assistance, please contact: [email protected] www.SEOcertification.org Table of Contents Chapter 1 (page 6) Search Engines 1.1 Search Engine Basics • Introduction to Search Engines • Search Engine Market Share • Major search engines and directories • Search provider relationships 1.2 Components of Search Engine • How search engines rank pages • Search engine spam 1.3 Test Questions Chapter 2 (page 28) Search Engine Optimization 2.1 On Page Optimization Factors • Keywords • Keyword Finalization • Use of HTML Meta Tags • Anchor Text Optimization • Comment Tag Optimization • Content • Content Optimization • Keyword Density 2.2 Off Page Optimization Factors • Building Link Popularity • Anchor Text Optimization • Measuring Link Popularity • Google Page rank 3 Copyright www.SEOcertification.org 2010, all rights reserved. Reproduction of this publication is not permitted. For assistance, please contact: [email protected] www.SEOcertification.org 2.3 Test Questions Chapter 3 (page 71) Site Readiness 3.1 Google Toolbar • Types of links • Dynamic Page Optimization • What are Doorway Pages /Cloaking • Frames 3.2 Test Questions Chapter 4 (page 91) Pay Per Click 4.1 Pay Per Click Campaigns 4.2 Setting up a PPC Campaign • Keyword Selection • Bidding Strategies • Advertising Text • Develop proper landing page • Tracking 4.3 Major PPC Search Engines • Google AdWords • Yahoo PPC Ads • Other PPC Advertising Resources 4.4 Test Questions 4 Copyright www.SEOcertification.org 2010, all rights reserved. Reproduction of this publication is not permitted. For assistance, please contact: [email protected] www.SEOcertification.org Chapter 5 (page 113) SEO Monitoring 5.1 SEO Reporting and Conversion 5.2 Visitor Traffic Analysis 5.3 How to choose an SEO Consultant 5.4 Test Questions Chapter 6 (page 123) Latest Concepts 6.1 Emerging Trends in SEO • Blog Optimization • Content Duplication in SEO • CraigsList • How to do Branding with SEO • Podcasting • RSS Feed Optimization • SEO & PPC Tools for Google • SEO & ROI • SEO - Present and its future • Wiki Article Inclusion • The New Buzz in Video Optimization – YouTube • Digg.com • Web Analytics 6.2 Affiliate Marketing 6.3 Google Dance and its Impact on Rankings 6.4 Test Questions 5 Copyright www.SEOcertification.org 2010, all rights reserved. Reproduction of this publication is not permitted. For assistance, please contact: [email protected] www.SEOcertification.org Chapter 7 (page 150) Marketing Strategies 7.1 Local Search Marketing • On Page Optimization factors 7.2 Link Baiting 7.3 Google Webmaster Central • Google Webmaster Tools 7.4 Test Questions Chapter 8 (page 158) Advanced SEO Techniques 8.1 Top pointers for High Rankings on Local Search Engines 8.2 Use of Lens and Hub pages to promote sites 8.3 Auto-pinging a Blog and its RSS 8.4 Test Questions Chapter 9 (page 164) Latest SEO Tactics & Strategies 9.1 The need for Sitelinks in your Website 9.2 Website Speed Optimization 9.3 Increasing traffic by using Social Bookmarking 9.4 Facebook Ad Tactics 6 Copyright www.SEOcertification.org 2010, all rights reserved. Reproduction of this publication is not permitted. For assistance, please contact: [email protected] www.SEOcertification.org Chapter 1 Search Engines 1.1 Search Engine Basics Introduction to search engines As the Internet started to grow and became an integral part of day-to-day work, it became almost impossible for a user to fetch the exact or relevant information from such a huge web. This is the main reason why ‘Search Engines’ were developed. Search engines became so popular that now more than 80% of web-site visitors come from them. What exactly is a Search Engine? According to webopedia, a “Search Engine” is a program that searches documents for specified keywords and returns a list of the documents where the keywords were found”. For Example, if you want to know about the Automobile market in Canada, you will type keywords like automotive market, automobiles in Canada, automobile manufacturers in Canada etc... Once you click on the search button, you’ll get the best relevant data related to those keywords. On the eve of Google’s initial public offering, new surveys and traffic data confirm that search engines have become an essential and popular way for people to find information online. A nationwide phone survey of 1,399 Internet users between May 14 and June 17 by the Pew Internet & American Life Project shows: • 84% of internet users have used search engines. On any given day online, more than half of those using the Internet use search engines. More than two-thirds of Internet users say they use search engines at least a couple of times per week. • The use of search engines usually ranks only second to email use as the most popular activity online. During periods when major news stories are breaking, the act of getting news online usually surpasses the use of search engines. • There is a substantial payoff as search engines improve and people become more adept at using them. Some 87% of search engine users say they find the information they want most of the time when they use search engines. 7 Copyright www.SEOcertification.org 2010, all rights reserved. Reproduction of this publication is not permitted. For assistance, please contact: [email protected] www.SEOcertification.org • The convenience and effectiveness of the search experience solidifies its appeal. Some 44% say that most times they search they are looking for vital information they absolutely need. COM Score Networks tracking of Internet use shows that among the top 25 search engines: • Americans conducted 6.7 billion total searches in December. • 44% of those searches were done from home computers, 49% were done from work computers, and 7% were done at university-based computers. • The average Internet user performed 33 searches in June. • The average visit to a search engine resulted in 4.4 searches. • The average visitor scrolled through 1.8 result pages during a typical search. • In June, the average user spent 41 minutes at search engine sites. • COM Score estimates that 40-45 percent of searches include 1sponsored results. • Approximately 7 percent of searches in March included a local modifier, such as city and state names, phone numbers or the words “map” or “directions.” • The percentage of searches that occurred through browser toolbars in June was 7% Search engine market share: Four times voted as Most Outstanding Search Engine, Google is an undisputed market leader of the search engine industry. Google is a crawler based search engine, which is known for providing both comprehensive coverage of web pages and most relevant information. It attracts the largest number of searches and the number goes up to 250 million searches everyday. Yahoo! is the second largest player in the industry with 28% of market share. Yahoo! started as a human based directory but turned into a Crawler based search engine in 2002. Till early 2004, it was powered by Google but after that they started to use their own technology. Yahoo stands next to Google in terms of number of searches per day. It is owned by Yahoo and attracts more than 167 million searches a day. Yahoo was the first search engine to come up with a PPC program. AskJeeves initially gained fame in 1998 and 1999 as being the "natural language" search engine that let you search by asking questions and responded with what seemed to be the right answer to everything. When launched, it was run by around 100 editors who monitored search logs. Today, however, AskJeeves depends on crawler-based technology to provide results to its users. 8 Copyright www.SEOcertification.org 2010, all rights reserved. Reproduction of this publication is not permitted. For assistance, please contact: [email protected] www.SEOcertification.org Major Search Engines and Directories Google: Right from the establishment in 1999, until today, Google is still the most popular search engine on the internet. Since its beta release, it has had phrase searching for NOT, it did not add an OR operation until Oct. 2000. In Dec. 2000, it added title searching. In June 2000 it announced a database of over 560 million pages, which grew to 4 billion by February 2004. Its biggest strength is its size and scope. Google includes PDF, DOC, PS, Image and many other file type indexing. It also has additional databases in the form of Google Groups, News, Directory, etc. Yahoo!: Yahoo! is one of the best known and most popular internet portals. Originally just a subject directory, now Yahoo! is a search engine, directory and portal. It includes cached copies of pages and also includes links to the Yahoo! directory. It supports full Boolean searching, but it lacks in providing some advanced search features such as truncation. It indexes the first 500KB of a web page and link searches require inclusion of http:// Bing: Bing Search by Microsoft is the search engine for the MSN portal site. For years it had used databases from other vendors including Inktomi, LookSmart, and Direct Hit. As of February 1, 2005, it began using its own, unique database including separate News, Images, and Local databases along with links into Microsoft's Encarta Encyclopedia content. Its large and unique database, query building Search Builder and Boolean searching, cached copies of web pages including date cached and automatic local search options are its strengths.
Recommended publications
  • Click Trajectories: End-To-End Analysis of the Spam Value Chain

    Click Trajectories: End-To-End Analysis of the Spam Value Chain

    Click Trajectories: End-to-End Analysis of the Spam Value Chain ∗ ∗ ∗ ∗ z y Kirill Levchenko Andreas Pitsillidis Neha Chachra Brandon Enright Mark´ Felegyh´ azi´ Chris Grier ∗ ∗ † ∗ ∗ Tristan Halvorson Chris Kanich Christian Kreibich He Liu Damon McCoy † † ∗ ∗ Nicholas Weaver Vern Paxson Geoffrey M. Voelker Stefan Savage ∗ y Department of Computer Science and Engineering Computer Science Division University of California, San Diego University of California, Berkeley z International Computer Science Institute Laboratory of Cryptography and System Security (CrySyS) Berkeley, CA Budapest University of Technology and Economics Abstract—Spam-based advertising is a business. While it it is these very relationships that capture the structural has engendered both widespread antipathy and a multi-billion dependencies—and hence the potential weaknesses—within dollar anti-spam industry, it continues to exist because it fuels a the spam ecosystem’s business processes. Indeed, each profitable enterprise. We lack, however, a solid understanding of this enterprise’s full structure, and thus most anti-spam distinct path through this chain—registrar, name server, interventions focus on only one facet of the overall spam value hosting, affiliate program, payment processing, fulfillment— chain (e.g., spam filtering, URL blacklisting, site takedown). directly reflects an “entrepreneurial activity” by which the In this paper we present a holistic analysis that quantifies perpetrators muster capital investments and business rela- the full set of resources employed to monetize spam email— tionships to create value. Today we lack insight into even including naming, hosting, payment and fulfillment—using extensive measurements of three months of diverse spam data, the most basic characteristics of this activity. How many broad crawling of naming and hosting infrastructures, and organizations are complicit in the spam ecosystem? Which over 100 purchases from spam-advertised sites.
  • Adsense-Blackhat-Edition.Pdf

    Adsense-Blackhat-Edition.Pdf

    AdSense.BlackHatEditionV.coinmc e Tan Vince Tan AdSense.BlackHatEdition.com i Copyright Notice All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical. Any unauthorized duplication, reproduction, or distribution is strictly prohibited and prosecutable by the full-extent of the law. Legal Notice While attempts have been made to verify the information contained within this publication, the author, publisher, and anyone associated with its creation, hereby assume absolutely no responsibility as it pertains to its contents and subject matter; nor with regards to it’s usage by the public or in any matters concerning potentially erroneous and/or contradictory information put forth by it. Furthermore, the reader agrees to assume all accountability for the usage of any information obtained from it; and heretofore, completely absolves Vince Tan, the publishers and any associates involved, of any liability for it whatsoever. Additional Notice: This book was obtained at http://AdSense.BlackHatEdition.com . For a limited time, when you register for free, you will be able to earn your way to get the latest updates of this ebook, placement on an invitation-only list to participate in exclusive pre-sales, web seminars, bonuses & giveaways, and be awarded a “special backdoor discount” that you will never find anywhere else! So if you haven’t yet, make sure to visit http://AdSense.BlackHatEdition.com and register now, before it’s too late! i Table of Contents Introduction
  • Clique-Attacks Detection in Web Search Engine for Spamdexing Using K-Clique Percolation Technique

    Clique-Attacks Detection in Web Search Engine for Spamdexing Using K-Clique Percolation Technique

    International Journal of Machine Learning and Computing, Vol. 2, No. 5, October 2012 Clique-Attacks Detection in Web Search Engine for Spamdexing using K-Clique Percolation Technique S. K. Jayanthi and S. Sasikala, Member, IACSIT Clique cluster groups the set of nodes that are completely Abstract—Search engines make the information retrieval connected to each other. Specifically if connections are added task easier for the users. Highly ranking position in the search between objects in the order of their distance from one engine query results brings great benefits for websites. Some another a cluster if formed when the objects forms a clique. If website owners interpret the link architecture to improve ranks. a web site is considered as a clique, then incoming and To handle the search engine spam problems, especially link farm spam, clique identification in the network structure would outgoing links analysis reveals the cliques existence in web. help a lot. This paper proposes a novel strategy to detect the It means strong interconnection between few websites with spam based on K-Clique Percolation method. Data collected mutual link interchange. It improves all websites rank, which from website and classified with NaiveBayes Classification participates in the clique cluster. In Fig. 2 one particular case algorithm. The suspicious spam sites are analyzed for of link spam, link farm spam is portrayed. That figure points clique-attacks. Observations and findings were given regarding one particular node (website) is pointed by so many nodes the spam. Performance of the system seems to be good in terms of accuracy. (websites), this structure gives higher rank for that website as per the PageRank algorithm.
  • Understanding Pay-Per-Click (PPC) Advertising

    Understanding Pay-Per-Click (PPC) Advertising

    Understanding Pay-Per-Click Advertising 5 Ways to Ensure a Successful Campaign WSI White Paper Prepared by: WSI Corporate Understanding Pay-Per-Click Advertising 5 Ways to Ensure a Successful Campaign Introduction Back in the 1870s, US department store pioneer, John Wanamaker, lamented, “Half the money I spend on advertising is wasted; the trouble is I don’t know which half!” In today’s increasingly global market, this is no longer a problem. Every successful marketing agent knows that leveraging pay-per-click (PPC) advertising is the key to controlling costs. This unique form of marketing makes it easy to budget advertising dollars and track return on investment (ROI), while attracting traffic to your Web site and qualified leads and sales to your business. Compared with other traditional forms of advertising, paid search marketing, or PPC, is far and away the most cost effective. This report examines the role of PPC as a central component of a successful marketing strategy. It begins with an overview of PPC’s place in the digital market place and the reasons for its continuing worldwide popularity among business owners and entrepreneurs. It also provides tips to ensure your business is getting the most from its PPC campaign. i FIGURE 1. PPC PROCESS 1. Attract Visitors 2. Convert 4. Measure Visitors to and Optimize Customers 3. Retain and Grow Customers Source: Optimum Web Marketing Whitepaper: Understanding Pay-Per-Click Advertising Copyright ©2010 RAM. Each WSI franchise office is an independently owned and operated business. Page 2 of 19 Understanding Pay-Per-Click Advertising 5 Ways to Ensure a Successful Campaign 1.
  • Challenges in Web Search Engines

    Challenges in Web Search Engines

    Challenges in Web Search Engines Monika R. Henzinger Rajeev Motwani* Craig Silverstein Google Inc. Department of Computer Science Google Inc. 2400 Bayshore Parkway Stanford University 2400 Bayshore Parkway Mountain View, CA 94043 Stanford, CA 94305 Mountain View, CA 94043 [email protected] [email protected] [email protected] Abstract or a combination thereof. There are web ranking optimiza• tion services which, for a fee, claim to place a given web site This article presents a high-level discussion of highly on a given search engine. some problems that are unique to web search en• Unfortunately, spamming has become so prevalent that ev• gines. The goal is to raise awareness and stimulate ery commercial search engine has had to take measures to research in these areas. identify and remove spam. Without such measures, the qual• ity of the rankings suffers severely. Traditional research in information retrieval has not had to 1 Introduction deal with this problem of "malicious" content in the corpora. Quite certainly, this problem is not present in the benchmark Web search engines are faced with a number of difficult prob• document collections used by researchers in the past; indeed, lems in maintaining or enhancing the quality of their perfor• those collections consist exclusively of high-quality content mance. These problems are either unique to this domain, or such as newspaper or scientific articles. Similarly, the spam novel variants of problems that have been studied in the liter• problem is not present in the context of intranets, the web that ature. Our goal in writing this article is to raise awareness of exists within a corporation.
  • TRAFFIC AUTOPILOT™ SPECIAL REPORT Copyright Notice

    TRAFFIC AUTOPILOT™ SPECIAL REPORT Copyright Notice

    TRAFFIC AUTOPILOT™ SPECIAL REPORT Copyright Notice © Copyright 2011 Drew Trainor and Traffic Autopilot ALL RIGHTS RESERVED. No part of this report can be reproduced or distributed in any way without written permission of the author. DISCLAIMER AND/OR LEGAL NOTICES: The information presented herein represents the view of the author as of the date of publication. Because of the rate with which conditions change, the author reserves the right to alter and update his opinion based on the new conditions. The report is for informational purposes only. While every attempt has been made to verify the information provided in this report, neither the author nor his affiliates/partners assume any responsibility for errors, inaccuracies or omissions. Any slights of people or organizations are unintentional. If advice concerning legal or related matters is needed, the services of a fully qualified professional should be sought. This report is not intended for use as a source of legal or accounting advice. You should be aware of any laws which govern business transactions or other business practices in your country and state. Any reference to any person or business whether living or dead is purely coincidental. CONSUMER NOTICE: You should assume that the author of this report has an affiliate relationship and/or another material connection to the providers of goods and services mentioned in this report and may be compensated when you purchase from a provider. You should always perform due diligence before buying goods or services from anyone via the
  • Wordpress-For-Web-Developers.Pdf

    Wordpress-For-Web-Developers.Pdf

    www.it-ebooks.info For your convenience Apress has placed some of the front matter material after the index. Please use the Bookmarks and Contents at a Glance links to access them. www.it-ebooks.info Contents at a Glance About the Author ............................................................................................................... xix About the Technical Reviewer ........................................................................................... xxi Acknowledgments ........................................................................................................... xxiii Introduction ...................................................................................................................... xxv ■ Chapter 1: Getting Started .................................................................................................1 ■ Chapter 2: Installing and Upgrading WordPress..............................................................13 ■ Chapter 3: Dashboard and Settings .................................................................................31 ■ Chapter 4: Working with Content ....................................................................................49 ■ Chapter 5: Working with Themes ....................................................................................81 ■ Chapter 6: Working with Plugins .....................................................................................95 ■ Chapter 7: Working with Users ......................................................................................101
  • Copyrighted Material

    Copyrighted Material

    00929ftoc.qxd:00929ftoc 3/13/07 2:02 PM Page ix Contents Acknowledgments vii Introduction xvii Chapter 1: You: Programmer and Search Engine Marketer 1 Who Are You? 2 What Do You Need to Learn? 3 SEO and the Site Architecture 4 SEO Cannot Be an Afterthought 5 Communicating Architectural Decisions 5 Architectural Minutiae Can Make or Break You 5 Preparing Your Playground 6 Installing XAMPP 7 Preparing the Working Folder 8 Preparing the Database 11 Summary 12 Chapter 2: A Primer in Basic SEO 13 Introduction to SEO 13 Link Equity 14 Google PageRank 15 A Word on Usability and Accessibility 16 Search Engine Ranking Factors 17 On-Page Factors 17 Visible On-Page Factors 18 Invisible On-Page Factors 20 Time-Based Factors 21 External FactorsCOPYRIGHTED MATERIAL 22 Potential Search Engine Penalties 26 The Google “Sandbox Effect” 26 The Expired Domain Penalty 26 Duplicate Content Penalty 27 The Google Supplemental Index 27 Resources and Tools 28 Web Analytics 28 00929ftoc.qxd:00929ftoc 3/13/07 2:02 PM Page x Contents Market Research 29 Researching Keywords 32 Browser Plugins 33 Community Forums 33 Search Engine Blogs and Resources 34 Summary 35 Chapter 3: Provocative SE-Friendly URLs 37 Why Do URLs Matter? 38 Static URLs and Dynamic URLs 38 Static URLs 39 Dynamic URLs 39 URLs and CTR 40 URLs and Duplicate Content 41 URLs of the Real World 42 Example #1: Dynamic URLs 42 Example #2: Numeric Rewritten URLs 43 Example #3: Keyword-Rich Rewritten URLs 44 Maintaining URL Consistency 44 URL Rewriting 46 Installing mod_rewrite 48 Testing mod_rewrite 49 Introducing
  • An Annotated Bibliography

    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

    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.
  • Build Backlinks to Boost Your Dermatology SEO

    Build Backlinks to Boost Your Dermatology SEO

    >>MARKETING MATTERS Build Backlinks to Boost Your Dermatology SEO Understand why backlinks matter. And how to get them. BY NAREN ARULRAJAH The list of ways to optimize your dermatology web- without a “no follow” tag. So, what does a high-quality back- >> site’s search engine performance is virtually endless. link look like? You can improve your content, design, keywords, metatags, • Earned. A local beauty blogger might write about get- page loading time, site structure, and more. However, the ting Botox in your office, or a news article might list reality is that on-site SEO (search engine optimization) is you as keynote speaker at an upcoming conference. In only part of the picture. If you want stellar website perfor- either example, the article author may naturally include mance, you need to take your SEO efforts off-site. a link to your website. You didn’t request it, you earned it. Naturally, Google prefers these types of links. THE POWER OF INBOUND LINKS • Professionally relevant. This goes to establishing Backlinks matter to Google. Those from reputable, rel- authority in your niche. Maybe a well-known athlete evant websites can improve your search ranking. On the mentioned getting acne treatment at your practice, other hand, poor quality links can potentially have a nega- which earns you a link from a sports news website. That tive effect. is good, but it would carry much more weight with To understand how Google views links, just think of Google if it were a medical or beauty website. your favorite social media platform. Imagine you see a • Locally relevant.
  • Natural Language Processing Technique for Information Extraction and Analysis

    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.