Efficient Focused Web Crawling Approach for Search Engine
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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. -
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. -
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. -
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. -
An Ontology-Based Web Crawling Approach for the Retrieval of Materials in the Educational Domain
An Ontology-based Web Crawling Approach for the Retrieval of Materials in the Educational Domain Mohammed Ibrahim1 a and Yanyan Yang2 b 1School of Engineering, University of Portsmouth, Anglesea Road, PO1 3DJ, Portsmouth, United Kingdom 2School of Computing, University of Portsmouth, Anglesea Road, PO1 3DJ, Portsmouth, United Kingdom Keywords: Web Crawling, Ontology, Education Domain. Abstract: As the web continues to be a huge source of information for various domains, the information available is rapidly increasing. Most of this information is stored in unstructured databases and therefore searching for relevant information becomes a complex task and the search for pertinent information within a specific domain is time-consuming and, in all probability, results in irrelevant information being retrieved. Crawling and downloading pages that are related to the user’s enquiries alone is a tedious activity. In particular, crawlers focus on converting unstructured data and sorting this into a structured database. In this paper, among others kind of crawling, we focus on those techniques that extract the content of a web page based on the relations of ontology concepts. Ontology is a promising technique by which to access and crawl only related data within specific web pages or a domain. The methodology proposed is a Web Crawler approach based on Ontology (WCO) which defines several relevance computation strategies with increased efficiency thereby reducing the number of extracted items in addition to the crawling time. It seeks to select and search out web pages in the education domain that matches the user’s requirements. In WCO, data is structured based on the hierarchical relationship, the concepts which are adapted in the ontology domain. -
A Hadoop Based Platform for Natural Language Processing of Web Pages and Documents
Journal of Visual Languages and Computing 31 (2015) 130–138 Contents lists available at ScienceDirect Journal of Visual Languages and Computing journal homepage: www.elsevier.com/locate/jvlc A hadoop based platform for natural language processing of web pages and documents Paolo Nesi n,1, Gianni Pantaleo 1, Gianmarco Sanesi 1 Distributed Systems and Internet Technology Lab, DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Firenze, Italy article info abstract Available online 30 October 2015 The rapid and extensive pervasion of information through the web has enhanced the Keywords: diffusion of a huge amount of unstructured natural language textual resources. A great Natural language processing interest has arisen in the last decade for discovering, accessing and sharing such a vast Hadoop source of knowledge. For this reason, processing very large data volumes in a reasonable Part-of-speech tagging time frame is becoming a major challenge and a crucial requirement for many commercial Text parsing and research fields. Distributed systems, computer clusters and parallel computing Web crawling paradigms have been increasingly applied in the recent years, since they introduced Big Data Mining significant improvements for computing performance in data-intensive contexts, such as Parallel computing Big Data mining and analysis. Natural Language Processing, and particularly the tasks of Distributed systems text annotation and key feature extraction, is an application area with high computational requirements; therefore, these tasks can significantly benefit of parallel architectures. This paper presents a distributed framework for crawling web documents and running Natural Language Processing tasks in a parallel fashion. The system is based on the Apache Hadoop ecosystem and its parallel programming paradigm, called MapReduce. -
Curlcrawler:A Framework of Curlcrawler and Cached Database for Crawling the Web with Thumb
Ela Kumaret al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 2 (4) , 2011, 1700-1705 CurlCrawler:A framework of CurlCrawler and Cached Database for crawling the web with thumb. Dr Ela Kumar#,Ashok Kumar$ # School of Information and Communication Technology, Gautam Buddha University, Greater Noida $ AIM & ACT.Banasthali University,Banasthali(Rajasthan.) Abstract-WWW is a vast source of information and search engines about basic modules of search engine functioning and these are the meshwork to navigate the web for several purposes. It is essential modules are (see Fig.1)[9,10]. problematic to identify and ping with graphical frame of mind for the desired information amongst the large set of web pages resulted by the search engine. With further increase in the size of the Internet, the problem grows exponentially. This paper is an endeavor to develop and implement an efficient framework with multi search agents to make search engines inapt to chaffing using curl features of the programming, called CurlCrawler. This work is an implementation experience for use of graphical perception to upright search on the web. Main features of this framework are curl programming, personalization of information, caching and graphical perception. Keywords and Phrases-Indexing Agent, Filtering Agent, Interacting Agent, Seolinktool, Thumb, Whois, CachedDatabase, IECapture, Searchcon, Main_spider, apnasearchdb. 1. INTRODUCTION Information is a vital role playing versatile thing from availability at church level to web through trends of books. WWW is now the prominent and up-to-date huge repository of information available to everyone, everywhere and every time. Moreover information on web is navigated using search Fig.1: Components of Information Retrieval System engines like AltaVista, WebCrawler, Hot Boat etc[1].Amount of information on the web is growing at very fast and owing to this search engine’s optimized functioning is always a thrust Store: It stores the crawled pages. -
Analysis and Evaluation of the Link and Content Based Focused Treasure-Crawler Ali Seyfi 1,2
Analysis and Evaluation of the Link and Content Based Focused Treasure-Crawler Ali Seyfi 1,2 1Department of Computer Science School of Engineering and Applied Sciences The George Washington University Washington, DC, USA. 2Centre of Software Technology and Management (SOFTAM) School of Computer Science Faculty of Information Science and Technology Universiti Kebangsaan Malaysia (UKM) Kuala Lumpur, Malaysia [email protected] Abstract— Indexing the Web is becoming a laborious task for search engines as the Web exponentially grows in size and distribution. Presently, the most effective known approach to overcome this problem is the use of focused crawlers. A focused crawler applies a proper algorithm in order to detect the pages on the Web that relate to its topic of interest. For this purpose we proposed a custom method that uses specific HTML elements of a page to predict the topical focus of all the pages that have an unvisited link within the current page. These recognized on-topic pages have to be sorted later based on their relevance to the main topic of the crawler for further actual downloads. In the Treasure-Crawler, we use a hierarchical structure called the T-Graph which is an exemplary guide to assign appropriate priority score to each unvisited link. These URLs will later be downloaded based on this priority. This paper outlines the architectural design and embodies the implementation, test results and performance evaluation of the Treasure-Crawler system. The Treasure-Crawler is evaluated in terms of information retrieval criteria such as recall and precision, both with values close to 0.5. Gaining such outcome asserts the significance of the proposed approach.