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Go beyond Google to mine big data and social media Author Robert Berkman gives expert advice on how to search the internet to locate the best information sources, how to find and utilize the professionals behind those sources, and how to combine these techniques to complete an information search on any subject. This fully updated 6th edition includes how to search beyond Google, leveraging big data in the search process, and how to search the social web. Readers will also find expert advice on how to know if a site is a trusted source; understanding how and why sources differ; using precision search strategies and taming information overload; and finding, evaluating, and identifying experts. Whether it's consumer advice, information for a job or project, facts for starting a new business, or answers to questions on obscure topics, Find It Fast is the perfect resource for learning to hone one's internet searching skills.
Information retrieval --- Information retrieval. --- Research. --- Internet searching. --- Search engines. --- Agents, Search --- Engines, Search --- Search agents --- Electronic information resource searching --- Information filtering systems --- Searching the Internet --- Web searching --- World Wide Web searching --- Science --- Science research --- Scientific research --- Information services --- Learning and scholarship --- Methodology --- Research teams --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Research
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This book covers anaphora resolution for the English language from a linguistic and computational point of view. First, a definition of anaphors that applies to linguistics as well as information technology is given. On this foundation, all types of anaphors and their characteristics for English are outlined. To examine how frequent each type of anaphor is, a corpus of different hypertexts has been established and analysed with regard to anaphors. The most frequent type are non-finite clause anaphors - a type which has never been investigated so far. Therefore, the potential of non-finite clause anaphors are further explored with respect to anaphora resolution. After presenting the fundamentals of computational anaphora resolution and its application in text retrieval, rules for resolving non-finite clause anaphors are established. Therefore, this book shows that a truly interdisciplinary approach can achieve results which would not have been possible otherwise. Open Access: In July 2019, this volume was retroactively turned into an Open Access publication thanks to the support of the Fachinformationsdienst Linguistik.https://www.linguistik.de/
Anapher (Syntax). --- Anaphora (Linguistics) -- Congresses. --- Discourse analysis -- Congresses. --- Anaphora (Linguistics) --- English language --- Discourse analysis --- Computational linguistics --- Philology & Linguistics --- Languages & Literatures --- Anaphora --- Techological innovations --- Technological innnovations --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Cross-reference (Linguistics) --- Grammar, Comparative and general --- Reference (Linguistics) --- Discourse grammar --- Text grammar --- Semantics --- Semiotics --- Germanic languages --- Data processing --- Information retrieval. --- Hypertext systems --- Analysis. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Hypertext --- Interactive multimedia --- Anaphora. --- Hypertexts. --- Text Retrieval.
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This book is useful for Hadoop administrators who need to learn how to monitor and diagnose their clusters. Also, the book will prove useful for new users of the technology, as the language used is simple and easy to grasp.
Adobe Hadoop (Computer file). --- Electronic data processing -- Distributed processing. --- File organization (Computer science). --- Open source software. --- Engineering & Applied Sciences --- Computer Science --- Apache Hadoop. --- Hadoop --- Electronic data processing --- Information retrieval --- Big data --- Open source software --- Free software (Open source software) --- Open code software --- Opensource software --- Computer software --- Data sets, Large --- Large data sets --- Data sets --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Computer networks --- Distributed processing
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This textbook provides an overview of the digital information landscape and explains the implications of the technological changes for the information industry, from publishers and broadcasters to the information professionals who manage information in all its forms. This fully-updated second edition includes examples of organizations and individuals who are seizing on the opportunities thrown up by this once-in-a-generation technological shift providing a cutting-edge guide to where we are going both as information consumers and in terms of broader societal changes. One of the key themes of the book is the way that organizations, public and commercial, are blurring their traditional lines of responsibility. Amazon is moving from simply selling books to offering the hardware and software for reading them. Apple still makes computer hardware but also manages one of the world's leading marketplaces for music and software applications. Google maintains its position as the most popular internet search engine but has also digitized millions of copies of books from leading academic libraries and backed the development of the world's most popular computing platform, Android. At the heart of these changes are the emergence of cheap computing devices for decoding and presenting digital information and a network which allows the bits and bytes to flow freely, for the moment at least, from producer to consumer.
Information services. --- Social media. --- Information retrieval --- Services d'information --- Médias sociaux --- Recherche de l'information --- Technological innovations. --- Innovations --- Médias sociaux --- Information services --- Information society --- Information technology --- Information storage and retrieval systems --- Social media --- Technological innovations --- E-books --- Information society. --- Information technology. --- Information storage and retrieval systems. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- User-generated media --- Communication --- User-generated content --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Sociology --- Data collection services --- Information brokers --- Information centers --- Information science service organizations --- Information service providers --- Providers of information services --- Research --- Data centers
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Build an enterprise search engine using Apache Solr: index and search documents; ingest data from varied sources; apply various text processing techniques; utilize different search capabilities; and customize Solr to retrieve the desired results. Apache Solr: A Practical Approach to Enterprise Search explains each essential concept-backed by practical and industry examples--to help you attain expert-level knowledge. The book, which assumes a basic knowledge of Java, starts with an introduction to Solr, followed by steps to setting it up, indexing your first set of documents, and searching them. It then introduces you to information retrieval and its implementation in Apache Solr; this will help you understand your search problem, decide the approach to build an effective solution, and use various metrics to evaluate the results. The book next covers the schema design and techniques to build a text analysis chain for cleansing, normalizing and enriching your documents and addressing different types of search queries. It describes various popular matching techniques which are generally applied to improve the precision and recall of searches. You will learn the end-to-end process of data ingestion from varied sources, metadata extraction, pre-processing and transformation of content, various search components, query parsers and other advanced search capabilities. After covering out-of-the-box features, Solr expert Dikshant Shahi dives into ways you can customize Solr for your business and its specific requirements, along with ways to plug in your own components. Most important, you will learn about implementations for Solr scoring, factors affecting the document score, and tuning the score for the application at hand. The book explains why textual scoring is not sufficient for practical ranking of documents and ways to integrate real-world factors for contributing to the document ranking. You'll see how to influence user experience by providing suggestions and recommendations. You'll also see integration of Solr with important related technologies such as OpenNLP and Tika. Additionally, you will learn about scaling Solr using SolrCloud. This book concludes with coverage of semantic search capabilities, which is crucial for taking the search experience to the next level. By the end of Apache Solr, you will be proficient in designing and developing your search engine. .
Computer Science --- Engineering & Applied Sciences --- Search engines --- Database searching. --- Information retrieval. --- Programming. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Data base searching --- Database search strategies --- Search strategies in databases --- Searching databases --- Computer science. --- Application software. --- Computer Science. --- Computer Science, general. --- Computer Appl. in Administrative Data Processing. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Informatics --- Science --- Documentation --- Information science --- Information storage and retrieval systems --- Electronic information resource searching --- Computer programming --- Open source software. --- Computer programming. --- Information systems. --- Open Source. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Free software (Open source software) --- Open code software --- Opensource software --- Programming
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This book constitutes the thoroughly refereed post-conference proceedings of Current Trends in Web Engineering, ICWE Workshops 2015 which was held in June 2015 in Rotterdam, The Netherlands. The 16 revised full papers were selected form 23 submissions and cover topics on natural language processing for informal text, pervasive Web technologies, trends and challenges, and mining in the social Web.
Computer Science --- Engineering & Applied Sciences --- Computer science. --- Software engineering. --- Data mining. --- Information storage and retrieval. --- Computer Science. --- Information Storage and Retrieval. --- Data Mining and Knowledge Discovery. --- Software Engineering. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Computer software engineering --- Engineering --- Informatics --- Science --- Information storage and retrieva. --- Information retrieval. --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- World Wide Web
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This book introduces the quantum mechanical framework to information retrieval scientists seeking a new perspective on foundational problems. As such, it concentrates on the main notions of the quantum mechanical framework and describes an innovative range of concepts and tools for modeling information representation and retrieval processes. The book is divided into four chapters. Chapter 1 illustrates the main modeling concepts for information retrieval (including Boolean logic, vector spaces, probabilistic models, and machine-learning based approaches), which will be examined further in subsequent chapters. Next, chapter 2 briefly explains the main concepts of the quantum mechanical framework, focusing on approaches linked to information retrieval such as interference, superposition and entanglement. Chapter 3 then reviews the research conducted at the intersection between information retrieval and the quantum mechanical framework. The chapter is subdivided into a number of topics, and each description ends with a section suggesting the most important reference resources. Lastly, chapter 4 offers suggestions for future research, briefly outlining the most essential and promising research directions to fully leverage the quantum mechanical framework for effective and efficient information retrieval systems. This book is especially intended for researchers working in information retrieval, database systems and machine learning who want to acquire a clear picture of the potential offered by the quantum mechanical framework in their own research area. Above all, the book offers clear guidance on whether, why and when to effectively use the mathematical formalism and the concepts of the quantum mechanical framework to address various foundational issues in information retrieval.
Computer Science --- Engineering & Applied Sciences --- Information retrieval. --- Information storage and retrieval systems. --- Quantum theory. --- Quantum dynamics --- Quantum mechanics --- Quantum physics --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Computer science. --- Mathematical statistics. --- Information storage and retrieval. --- Quantum computers. --- Spintronics. --- Computer Science. --- Information Storage and Retrieval. --- Probability and Statistics in Computer Science. --- Quantum Computing. --- Quantum Information Technology, Spintronics. --- Physics --- Mechanics --- Thermodynamics --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Documentation --- Information science --- Information storage and retrieval systems --- Information storage and retrieva. --- Informatics --- Science --- Fluxtronics --- Magnetoelectronics --- Spin electronics --- Spinelectronics --- Microelectronics --- Nanotechnology --- Computers --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods
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Compiled by world- class leaders in the field of collaborative information retrieval and search (CIS), this book centres on the notion that information seeking is not always a solitary activity and working in collaboration to perform information-seeking tasks should be studied and supported. Covering aspects of theories, models, and applications the book is divided in three parts: · Best Practices and Studies: providing an overview of current knowledge and state-of-the-art in the field. · New Domains: covers some of the new and exciting opportunities of applying CIS · New Thoughts: focuses on new research directions by scholars from academia and industry from around the world. Collaborative Information Seeking provides a valuable reference for student, teachers, and researchers interested in the area of collaborative work, information seeking/retrieval, and human-computer interaction.
Documentation and information --- Information systems --- Information retrieval. --- Information behavior. --- Group work in research. --- Virtual work teams. --- Participant observation. --- Information-seeking behavior --- Human behavior --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Documentation --- Information science --- Information storage and retrieval systems --- Participant research --- Participatory research --- Observation (Psychology) --- Social sciences --- Eteams (Virtual work teams) --- Virtual teams (Work teams) --- VTeams (Virtual work teams) --- Teams in the workplace --- Group research --- Research groups --- Teamwork in research --- Research --- Fieldwork --- Computer system failures. --- Computers. --- Social sciences. --- Artificial intelligence. --- System Performance and Evaluation. --- Information Systems and Communication Service. --- Methodology of the Social Sciences. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Computer failures --- Computer malfunctions --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Failures
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This monograph presents a collection of major developments leading toward the implementation of white space technology - an emerging wireless standard for using wireless spectrum in locations where it is unused by licensed users. Some of the key research areas in the field are covered. These include emerging standards, technical insights from early pilots and simulations, software defined radio platforms, geo-location spectrum databases and current white space spectrum usage in India and South Africa.
Engineering. --- Communications Engineering, Networks. --- Information Storage and Retrieval. --- R & D/Technology Policy. --- Information storage and retrieval systems. --- Telecommunication. --- Economics. --- Ingénierie --- Systèmes d'information --- Télécommunications --- Economie politique --- Code division multiple access. --- Cognitive radio networks. --- Wireless communication systems. --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Radio resource management (Wireless communications) --- Radio frequency allocation. --- Communication systems, Wireless --- Wireless data communication systems --- Wireless information networks --- Wireless telecommunication systems --- Wireless communications resource management --- Information storage and retrieval. --- Electrical engineering. --- Economic policy. --- Economic nationalism --- Economic planning --- National planning --- State planning --- Economics --- Planning --- National security --- Social policy --- Electric engineering --- Engineering --- Construction --- Industrial arts --- Technology --- Resource allocation --- Telecommunication --- Telecommunication systems --- Wireless communication systems --- International cooperation --- Management --- Information storage and retrieva. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Information retrieval. --- Information organization. --- Information storage and retrieval --- Organization of information --- Information science --- Information storage and retrieval systems --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Retrieval of information --- Documentation
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This edited volume offers a clear in-depth overview of research covering a variety of issues in social search and recommendation systems. Within the broader context of social network analysis it focuses on important and up-coming topics such as real-time event data collection, frequent-sharing pattern mining, improvement of computer-mediated communication, social tagging information, search system personalization, new detection mechanisms for the identification of online user groups, and many more. The twelve contributed chapters are extended versions of conference papers as well as completely new invited chapters in the field of social search and recommendation systems. This first-of-its kind survey of current methods will be of interest to researchers from both academia and industry working in the field of social networks.
Computer Science. --- Data Mining and Knowledge Discovery. --- Media Sociology. --- Complex Networks. --- Complexity. --- Computer science. --- Data mining. --- Physics. --- Engineering. --- Informatique --- Exploration de données (Informatique) --- Physique --- Ingénierie --- Engineering & Applied Sciences --- Computer Science --- Recommender systems (Information filtering) --- Information retrieval. --- Online social networks. --- Electronic social networks --- Social networking Web sites --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Data retrieval --- Data storage --- Discovery, Information --- Information discovery --- Information storage and retrieval --- Retrieval of information --- Engines, Recommendation (Information filtering) --- Recommendation engines (Information filtering) --- Recommendation systems (Information filtering) --- Systems, Recommendation (Information filtering) --- Systems, Recommender (Information filtering) --- Complexity, Computational. --- Mass media. --- Communication. --- Social sciences in mass media. --- Database searching --- Mass media --- Communication, Primitive --- Mass communication --- Sociology --- Media, Mass --- Media, The --- Communication --- Complexity, Computational --- Electronic data processing --- Machine theory --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics --- Informatics --- Science --- Social media --- Social networks --- Sociotechnical systems --- Web sites --- Documentation --- Information science --- Information storage and retrieval systems --- Information filtering systems --- Applications of Graph Theory and Complex Networks. --- Construction --- Industrial arts --- Technology --- Virtual communities --- Computational complexity.
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