Distributed Indexing/Searching Workshop Agenda, Attendee List, and Position Papers
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Why We Need an Independent Index of the Web ¬ Dirk Lewandowski 50 Society of the Query Reader
Politics of Search Engines 49 René König and Miriam Rasch (eds), Society of the Query Reader: Reections on Web Search, Amsterdam: Institute of Network Cultures, 2014. ISBN: 978-90-818575-8-1. Why We Need an Independent Index of the Web ¬ Dirk Lewandowski 50 Society of the Query Reader Why We Need an Independent Index of the Web ¬ Dirk Lewandowski Search engine indexes function as a ‘local copy of the web’1, forming the foundation of every search engine. Search engines need to look for new documents constantly, detect changes made to existing documents, and remove documents from the index when they are no longer available on the web. When one considers that the web com- prises many billions of documents that are constantly changing, the challenge search engines face becomes clear. It is impossible to maintain a perfectly complete and current index.2 The pool of data changes thousands of times each second. No search engine can keep up with this rapid pace of change.3 The ‘local copy of the web’ can thus be viewed as the Holy Grail of web indexing at best – in practice, different search engines will always attain a varied degree of success in pursuing this goal.4 Search engines do not merely capture the text of the documents they find (as is of- ten falsely assumed). They also generate complex replicas of the documents. These representations include, for instance, information on the popularity of the document (measured by the number of times it is accessed or how many links to the document exist on the web), information extracted from the documents (for example the name of the author or the date the document was created), and an alternative text-based 1. -
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. -
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. -
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. -
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. -
Web-Page Indexing Based on the Prioritize Ontology Terms
Web-page Indexing based on the Prioritize Ontology Terms Sukanta Sinha1, 4, Rana Dattagupta2, Debajyoti Mukhopadhyay3, 4 1Tata Consultancy Services Ltd., Victoria Park Building, Salt Lake, Kolkata 700091, India [email protected] 2Computer Science Dept., Jadavpur University, Kolkata 700032, India [email protected] 3Information Technology Dept., Maharashtra Institute of Technology, Pune 411038, India [email protected] 4WIDiCoReL Research Lab, Green Tower, C-9/1, Golf Green, Kolkata 700095, India Abstract. In this world, globalization has become a basic and most popular human trend. To globalize information, people are going to publish the docu- ments in the internet. As a result, information volume of internet has become huge. To handle that huge volume of information, Web searcher uses search engines. The Web-page indexing mechanism of a search engine plays a big role to retrieve Web search results in a faster way from the huge volume of Web re- sources. Web researchers have introduced various types of Web-page indexing mechanism to retrieve Web-pages from Web-page repository. In this paper, we have illustrated a new approach of design and development of Web-page index- ing. The proposed Web-page indexing mechanism has applied on domain spe- cific Web-pages and we have identified the Web-page domain based on an On- tology. In our approach, first we prioritize the Ontology terms that exist in the Web-page content then apply our own indexing mechanism to index that Web- page. The main advantage of storing an index is to optimize the speed and per- formance while finding relevant documents from the domain specific search engine storage area for a user given search query. -
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. -
Meta Search Engine with an Intelligent Interface for Information Retrieval on Multiple Domains
International Journal of Computer Science, Engineering and Information Technology (IJCSEIT), Vol.1, No.4, October 2011 META SEARCH ENGINE WITH AN INTELLIGENT INTERFACE FOR INFORMATION RETRIEVAL ON MULTIPLE DOMAINS D.Minnie1, S.Srinivasan2 1Department of Computer Science, Madras Christian College, Chennai, India [email protected] 2Department of Computer Science and Engineering, Anna University of Technology Madurai, Madurai, India [email protected] ABSTRACT This paper analyses the features of Web Search Engines, Vertical Search Engines, Meta Search Engines, and proposes a Meta Search Engine for searching and retrieving documents on Multiple Domains in the World Wide Web (WWW). A web search engine searches for information in WWW. A Vertical Search provides the user with results for queries on that domain. Meta Search Engines send the user’s search queries to various search engines and combine the search results. This paper introduces intelligent user interfaces for selecting domain, category and search engines for the proposed Multi-Domain Meta Search Engine. An intelligent User Interface is also designed to get the user query and to send it to appropriate search engines. Few algorithms are designed to combine results from various search engines and also to display the results. KEYWORDS Information Retrieval, Web Search Engine, Vertical Search Engine, Meta Search Engine. 1. INTRODUCTION AND RELATED WORK WWW is a huge repository of information. The complexity of accessing the web data has increased tremendously over the years. There is a need for efficient searching techniques to extract appropriate information from the web, as the users require correct and complex information from the web. A Web Search Engine is a search engine designed to search WWW for information about given search query and returns links to various documents in which the search query’s key words are found. -
Google Bing Facebook Findopen Foursquare
The Network Google Active Monthly Users: 1B+ Today's world of smartphones, mobile moments, and self-driving cars demands accurate location data more than ever. And no single search, maps, and apps provider is more important to your location marketing strategy than Google. With the Yext Location Manager, you can manage your location data on Google My Business—the tool through which Businesses can supply data to Google Search, Google Maps, and Google+. Bing Active Monthly Users: 150M+ With more than 20% of search market share in the US and rapidly increasing traction worldwide, Bing is an essential piece of the local ecosystem. More than 150 million users search for local Businesses and services on Bing every month. Beginning in 2016, Bing will also power search results across the AOL portfolio of sites, including Huffington Post, Engadget, and TechCrunch. Facebook Active Monthly Users: 1.35B Facebook is the world’s Biggest social network with more than 2 Billion users. Yext Sync for FaceBook makes it easy to manage accurate and up-to-date contact information, photos, messages and more. FindOpen FindOpen is one of the world’s leading online Business directories and helps consumers find the critical information they need to know aBout the Businesses they’d like to visit, like hours of operation, holiday hours, special hours, menus, product and service lists, and more. FindOpen — also known as FindeOffen, TrovaAperto, TrouverOuvert, VindOpen, nyitva.hu, EncuentreAbierto, AussieHours, FindAaben, TeraZOtwarte, HittaӦppna, and deschis.ro in the many countries it operates — provides a fully responsive experience, no matter where its gloBal users are searching from. -
Effective Focused Crawling Based on Content and Link Structure Analysis
(IJCSIS) International Journal of Computer Science and Information Security, Vol. 2, No. 1, June 2009 Effective Focused Crawling Based on Content and Link Structure Analysis Anshika Pal, Deepak Singh Tomar, S.C. Shrivastava Department of Computer Science & Engineering Maulana Azad National Institute of Technology Bhopal, India Emails: [email protected] , [email protected] , [email protected] Abstract — A focused crawler traverses the web selecting out dependent ontology, which in turn strengthens the metric used relevant pages to a predefined topic and neglecting those out of for prioritizing the URL queue. The Link-Structure-Based concern. While surfing the internet it is difficult to deal with method is analyzing the reference-information among the pages irrelevant pages and to predict which links lead to quality pages. to evaluate the page value. This kind of famous algorithms like In this paper, a technique of effective focused crawling is the Page Rank algorithm [5] and the HITS algorithm [6]. There implemented to improve the quality of web navigation. To check are some other experiments which measure the similarity of the similarity of web pages w.r.t. topic keywords, a similarity page contents with a specific subject using special metrics and function is used and the priorities of extracted out links are also reorder the downloaded URLs for the next crawl [7]. calculated based on meta data and resultant pages generated from focused crawler. The proposed work also uses a method for A major problem faced by the above focused crawlers is traversing the irrelevant pages that met during crawling to that it is frequently difficult to learn that some sets of off-topic improve the coverage of a specific topic.