Web Information Retrieval

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Introduction to Information Retrieval

Author : Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze
Publisher : Cambridge University Press
Page : 128 pages
File Size : 46,9 Mb
Release : 2008-07-07
Category : Computers
ISBN : 9781139472104

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Introduction to Information Retrieval by Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze Pdf

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Web Information Retrieval

Author : Stefano Ceri,Alessandro Bozzon,Marco Brambilla,Emanuele Della Valle,Piero Fraternali,Silvia Quarteroni
Publisher : Springer Science & Business Media
Page : 287 pages
File Size : 48,7 Mb
Release : 2013-08-30
Category : Computers
ISBN : 9783642393143

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Web Information Retrieval by Stefano Ceri,Alessandro Bozzon,Marco Brambilla,Emanuele Della Valle,Piero Fraternali,Silvia Quarteroni Pdf

With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.

Information Retrieval

Author : Ayse Goker,John Davies
Publisher : John Wiley & Sons
Page : 320 pages
File Size : 54,5 Mb
Release : 2009-12-15
Category : Technology & Engineering
ISBN : 0470033630

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Information Retrieval by Ayse Goker,John Davies Pdf

This book is an essential reference to cutting-edge issues and future directions in information retrieval Information retrieval (IR) can be defined as the process of representing, managing, searching, retrieving, and presenting information. Good IR involves understanding information needs and interests, developing an effective search technique, system, presentation, distribution and delivery. The increased use of the Web and wider availability of information in this environment led to the development of Web search engines. This change has brought fresh challenges to a wider variety of users’ needs, tasks, and types of information. Today, search engines are seen in enterprises, on laptops, in individual websites, in library catalogues, and elsewhere. Information Retrieval: Searching in the 21st Century focuses on core concepts, and current trends in the field. This book focuses on: Information Retrieval Models User-centred Evaluation of Information Retrieval Systems Multimedia Resource Discovery Image Users’ Needs and Searching Behaviour Web Information Retrieval Mobile Search Context and Information Retrieval Text Categorisation and Genre in Information Retrieval Semantic Search The Role of Natural Language Processing in Information Retrieval: Search for Meaning and Structure Cross-language Information Retrieval Performance Issues in Parallel Computing for Information Retrieval This book is an invaluable reference for graduate students on IR courses or courses in related disciplines (e.g. computer science, information science, human-computer interaction, and knowledge management), academic and industrial researchers, and industrial personnel tracking information search technology developments to understand the business implications. Intermediate-advanced level undergraduate students on IR or related courses will also find this text insightful. Chapters are supplemented with exercises to stimulate further thinking.

Effective Information Retrieval from the Internet

Author : Alison Stacey,Adrian Stacey
Publisher : Elsevier
Page : 324 pages
File Size : 41,9 Mb
Release : 2004-07-31
Category : Computers
ISBN : 9781780631769

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Effective Information Retrieval from the Internet by Alison Stacey,Adrian Stacey Pdf

Effective Information Retrieval from the Internet discusses practical strategies which enable the advanced web user to locate information effectively and to form a precise evaluation of the accuracy of that information. Although the book provides a brief but thorough review of the technologies which are available for these purposes, most of the book concerns practical ‘future-proof’ techniques which are independent of changes in the tools available. For example, the book covers: how to retrieve salient information quickly; how to remove or compensate for bias; and tuition of novice Internet users. Importantly, the book enables readers to develop strategies which will continue to be useful despite the rapidly-evolving state of the Internet and Internet technologies - it is not about technological tricks Enables readers to be aware of and compensate for bias and errors which are ubiquitous on the Internet Provides contemporary information on the deficiencies in web skills of novice users as well as practical techniques for teaching such users

Emergent Web Intelligence: Advanced Information Retrieval

Author : Richard Chbeir,Youakim Badr,Ajith Abraham,Aboul-Ella Hassanien
Publisher : Springer Science & Business Media
Page : 487 pages
File Size : 45,9 Mb
Release : 2010-03-10
Category : Computers
ISBN : 9781849960748

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Emergent Web Intelligence: Advanced Information Retrieval by Richard Chbeir,Youakim Badr,Ajith Abraham,Aboul-Ella Hassanien Pdf

This volume reviews cutting-edge technologies and insights related to XML-based and multimedia information access and data retrieval. And by applying new techniques to real-world scenarios, it details how organizations can gain competitive advantages.

Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively

Author : Goh, Dion,Foo, Schubert
Publisher : IGI Global
Page : 396 pages
File Size : 45,5 Mb
Release : 2007-10-31
Category : Business & Economics
ISBN : 9781599045450

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Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively by Goh, Dion,Foo, Schubert Pdf

The wealth of information accessible on the Internet has grown exponentially since its advent. This mass of content must be systemically sifted to glean pertinent data, and the utilization of the collective intelligence of other users, or social information retrieval, is an innovative, emerging technique. Social Information Retrieval Systems: Emerging Technologies & Applications for Searching the Web Effectively provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this Premier Reference Source will make an indispensable addition to any library collection.

Information Retrieval: Uncertainty and Logics

Author : Cornelis Joost van Rijsbergen,Fabio Crestani,Mounia Lalmas
Publisher : Springer Science & Business Media
Page : 332 pages
File Size : 44,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461556176

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Information Retrieval: Uncertainty and Logics by Cornelis Joost van Rijsbergen,Fabio Crestani,Mounia Lalmas Pdf

In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR is the assumption that queries and documents can be represented effectively by logical formulae. To retrieve a document, an IR system has to infer the formula representing the query from the formula representing the document. This logical interpretation of query and document emphasizes that relevance in IR is an inference process. The use of logic to build IR models enables one to obtain models that are more general than earlier well-known IR models. Indeed, some logical models are able to represent within a uniform framework various features of IR systems such as hypermedia links, multimedia data, and user's knowledge. Logic also provides a common approach to the integration of IR systems with logical database systems. Finally, logic makes it possible to reason about an IR model and its properties. This latter possibility is becoming increasingly more important since conventional evaluation methods, although good indicators of the effectiveness of IR systems, often give results which cannot be predicted, or for that matter satisfactorily explained. However, logic by itself cannot fully model IR. The success or the failure of the inference of the query formula from the document formula is not enough to model relevance in IR. It is necessary to take into account the uncertainty inherent in such an inference process. In 1986, Van Rijsbergen proposed the uncertainty logical principle to model relevance as an uncertain inference process. When proposing the principle, Van Rijsbergen was not specific about which logic and which uncertainty theory to use. As a consequence, various logics and uncertainty theories have been proposed and investigated. The choice of an appropriate logic and uncertainty mechanism has been a main research theme in logical IR modeling leading to a number of logical IR models over the years. Information Retrieval: Uncertainty and Logics contains a collection of exciting papers proposing, developing and implementing logical IR models. This book is appropriate for use as a text for a graduate-level course on Information Retrieval or Database Systems, and as a reference for researchers and practitioners in industry.

GIS Online

Author : Brandon Plewe
Publisher : Unknown
Page : 340 pages
File Size : 45,5 Mb
Release : 1997
Category : Computers
ISBN : MINN:31951D01642866H

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GIS Online by Brandon Plewe Pdf

GIS Online is a comprehensive guide for businesses, government agencies, nonprofit organizations, educational institutions, and individuals who want to build a Web site based on GIS and mapping technology, or who simply want to include maps on their sites. The book describes the concepts of distributed geographic information (DGI), the integration of GIS and maps with the Internet, and data sharing, and provides guidance through the planning, development, and maintenance of an effective site.

Modern Information Retrieval

Author : Yates
Publisher : Pearson Education India
Page : 540 pages
File Size : 46,7 Mb
Release : 1999-09
Category : Electronic
ISBN : 8131709779

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Modern Information Retrieval by Yates Pdf

Web Semantics for Textual and Visual Information Retrieval

Author : Singh, Aarti,Dey, Nilanjan,Ashour, Amira S.,Santhi, V.
Publisher : IGI Global
Page : 290 pages
File Size : 44,7 Mb
Release : 2017-02-22
Category : Computers
ISBN : 9781522524847

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Web Semantics for Textual and Visual Information Retrieval by Singh, Aarti,Dey, Nilanjan,Ashour, Amira S.,Santhi, V. Pdf

Modern society exists in a digital era in which high volumes of multimedia information exists. To optimize the management of this data, new methods are emerging for more efficient information retrieval. Web Semantics for Textual and Visual Information Retrieval is a pivotal reference source for the latest academic research on embedding and associating semantics with multimedia information to improve data retrieval techniques. Highlighting a range of pertinent topics such as automation, knowledge discovery, and social networking, this book is ideally designed for researchers, practitioners, students, and professionals interested in emerging trends in information retrieval.

Introduction to Modern Information Retrieval

Author : Gobinda G. Chowdhury
Publisher : Facet Publishing
Page : 492 pages
File Size : 52,8 Mb
Release : 2004
Category : Business & Economics
ISBN : STANFORD:36105123169364

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Introduction to Modern Information Retrieval by Gobinda G. Chowdhury Pdf

Blends together traditional and electronic-age views of information retrieval, covering the whole spectrum of storage and retrieval. A fully revised and updated edition of successful text covering many new areas including multimedia IR, user interfaces and digital libraries.

Critical Approaches to Information Retrieval Research

Author : Sarfraz, Muhammad
Publisher : IGI Global
Page : 355 pages
File Size : 44,8 Mb
Release : 2019-08-30
Category : Computers
ISBN : 9781799810230

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Critical Approaches to Information Retrieval Research by Sarfraz, Muhammad Pdf

Information retrieval (IR) is considered to be the science of searching for information from a variety of information sources related to texts, images, sounds, or multimedia. With the rise of the internet and digital databases, updated information retrieval methodologies are essential to ensure the continued facilitation and enhancement of information exchange. Critical Approaches to Information Retrieval Research is a critical scholarly publication that provides multidisciplinary examinations of theoretical innovations and methods in information retrieval technologies including search and storage applications for data, text, image, sound, document, and video retrieval. Featuring a wide range of topics including data mining, machine learning, and ontology, this book is ideal for librarians, software engineers, data scientists, professionals, researchers, information engineers, scientists, practitioners, and academicians working in the fields of computer science, information technology, information and communication sciences, education, health, library, and more.

Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2336 pages
File Size : 53,7 Mb
Release : 2018-01-05
Category : Computers
ISBN : 9781522551928

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Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.

Encyclopedia of Database Systems

Author : Ling Liu,M. Tamer Özsu
Publisher : Unknown
Page : 128 pages
File Size : 43,6 Mb
Release : 2024-06-20
Category : Database management
ISBN : 148997993X

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Encyclopedia of Database Systems by Ling Liu,M. Tamer Özsu Pdf

Search Engines

Author : Bruce Croft,Donald Metzler,Trevor Strohman
Publisher : Pearson Higher Ed
Page : 547 pages
File Size : 53,8 Mb
Release : 2011-11-21
Category : Computers
ISBN : 9780133001594

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Search Engines by Bruce Croft,Donald Metzler,Trevor Strohman Pdf

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Search Engines: Information Retrieval in Practice is ideal for introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. It is also a valuable tool for search engine and information retrieval professionals. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice , is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book’s numerous programming exercises make extensive use of Galago, a Java-based open source search engine.