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Abstract

Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers. - This book provides what Salton and Van Rijsbergen both failed to achieve. Even more important, unlike some other books in IR, the authors appear to care about making the theory as accessible as possible to the reader, on occasion including short primers to certain topics or choosing to explain difficult concepts using simplified approaches. Its coverage [is] excellent, the quality of writing high and I was surprised how much I learned from reading it. I think the online resources are impressive.

Content

Inhalt: Boolean retrieval - The term vocabulary & postings lists - Dictionaries and tolerant retrieval - Index construction - Index compression - Scoring, term weighting & the vector space model - Computing scores in a complete search system - Evaluation in information retrieval - Relevance feedback & query expansion - XML retrieval - Probabilistic information retrieval - Language models for information retrieval - Text classification & Naive Bayes - Vector space classification - Support vector machines & machine learning on documents - Flat clustering - Hierarchical clustering - Matrix decompositions & latent semantic indexing - Web search basics - Web crawling and indexes - Link analysis Vgl. die digitale Fassung unter: http://nlp.stanford.edu/IR-book/pdf/irbookprint.pdf.

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Abstract

Are we at a turning point in digital information? The expansion of the internet was unprecedented; search engines dealt with it in the only way possible - scan as much as they could and throw it all into an inverted index. But now search engines are beginning to experiment with deep web searching and attention to taxonomies, and the semantic web is demonstrating how much more can be done with a computer if you give it knowledge. What does this mean for the skills and focus of the information science (or sciences) community? Should information designers and information managers work more closely to create computer based information systems for more effective retrieval? Will information science become part of computer science and does the rise of the term informatics demonstrate the convergence of information science and information technology - a convergence that must surely develop in the years to come? Issues and questions such as these are reflected in this monograph, a collection of essays written by some of the most pre-eminent contributors to the discipline. These peer reviewed perspectives capture insights into advances in, and facets of, information science, a profession in transition. With an introduction from Jack Meadows the key papers are: Meeting the challenge, by Brian Vickery; The developing foundations of information science, by David Bawden; The last 50 years of knowledge organization, by Stella G Dextre Clarke; On the history of evaluation in IR, by Stephen Robertson; The information user, by Tom Wilson A; The sociological turn in information science, by Blaise Cronin; From chemical documentation to chemoinformatics, by Peter Willett; Health informatics, by Peter A Bath; Social informatics and sociotechnical research, by Elisabeth Davenport; The evolution of visual information retrieval, by Peter Enser; Information policies, by Elizabeth Orna; Disparity in professional qualifications and progress in information handling, by Barry Mahon; Electronic scholarly publishing and open access, by Charles Oppenheim; Social software: fun and games, or business tools? by Wendy A Warr; and, Bibliometrics to webometrics, by Mike Thelwall. This monograph previously appeared as a special issue of the "Journal of Information Science", published by Sage. Reproduced here as a monograph, this important collection of perspectives on a skill set in transition from a prestigious line-up of authors will now be available to information studies students worldwide and to all those working in the information science field.

Date

22. 2.2013 11:35:35

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Abstract

The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.

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Abstract

In this book, Ronald Day offers a critical history of the modern tradition of documentation. Focusing on the documentary index (understood as a mode of social positioning), and drawing on the work of the French documentalist Suzanne Briet, Day explores the understanding and uses of indexicality. He examines the transition as indexes went from being explicit professional structures that mediated users and documents to being implicit infrastructural devices used in everyday information and communication acts. Doing so, he also traces three epistemic eras in the representation of individuals and groups, first in the forms of documents, then information, then data. Day investigates five cases from the modern tradition of documentation. He considers the socio-technical instrumentalism of Paul Otlet, "the father of European documentation" (contrasting it to the hermeneutic perspective of Martin Heidegger); the shift from documentation to information science and the accompanying transformation of persons and texts into users and information; social media's use of algorithms, further subsuming persons and texts; attempts to build android robots -- to embody human agency within an information system that resembles a human being; and social "big data" as a technique of neoliberal governance that employs indexing and analytics for purposes of surveillance. Finally, Day considers the status of critique and judgment at a time when people and their rights of judgment are increasingly mediated, displaced, and replaced by modern documentary techniques.

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Content

Inhalt: Chapters 2 to 5: Scopes, Domains, and Display Media (pp. 47-102) Chapters 6 to 8: Documents, Analysis, and Indexing (pp. 103-176) Chapters 9 to 10: Exhaustivity and Specificity (pp. 177-196) Chapters 11 to 13: Displayed/Nondisplayed Indexes, Syntax, and Vocabulary Management (pp. 197-364) Chapters 14 to 16: Surrogation, Locators, and Surrogate Displays (pp. 365-390) Chapters 17 and 18: Arrangement and Size of Displayed Indexes (pp. 391-446) Chapters 19 to 21: Search Interface, Record Format, and Full-Text Display (pp. 447-536) Chapter 22: Implementation and Evaluation (pp. 537-541)

Footnote

Rez. in JASIST 57(2006) no.10, S.1412-1413 (R. W. White): "Information Retrieval Design is a textbook that aims to foster the intelligent user-centered design of databases for Information Retrieval (IR). The book outlines a comprehensive set of 20 factors. chosen based on prior research and the authors' experiences. that need to he considered during the design process. The authors provide designers with information on those factors to help optimize decision making. The book does not cover user-needs assessment, implementation of IR databases, or retries al systems, testing. or evaluation. Most textbooks in IR do not offer a substantive walkthrough of the design factors that need to be considered Mien des eloping IR databases. Instead. they focus on issues such as the implementation of data structures, the explanation of search algorithms, and the role of human-machine interaction in the search process. The book touches on all three, but its focus is on designing databases that can be searched effectively. not the tools to search them. This is an important distinction: despite its title. this book does not describe how to build retrieval systems. Professor Anderson utilizes his wealth of experience in cataloging and classification to bring a unique perspective on IR database design that may be useful for novices. for developers seeking to make sense of the design process, and for students as a text to supplement classroom tuition. The foreword and preface. by Jessica Milstead and James Anderson. respectively, are engaging and worthwhile reading. It is astounding that it has taken some 20 years for anyone to continue the stork of Milstead and write as extensively as Anderson does about such an important issue as IR database design. The remainder of the book is divided into two parts: Introduction and Background Issues and Design Decisions. Part 1 is a reasonable introduction and includes a glossary of the terminology that authors use in the book. It is very helpful to have these definitions early on. but the subject descriptors in the right margin are distracting and do not serve their purpose as access points to the text. The terminology is useful to have. as the authors definitions of concepts do not lit exactly with what is traditionally accepted in IR. For example. they use the term 'message' to icier to what would normally be called .'document" or "information object." and do not do a good job at distinguishing between "messages" and "documentary units". Part 2 describes components and attributes of 1R databases to help designers make design choices. The book provides them with information about the potential ramifications of their decisions and advocates a user-oriented approach to making them. Chapters are arranged in a seemingly sensible order based around these factors. and the authors remind us of the importance of integrating them. The authors are skilled at selecting the important factors in the development of seemingly complex entities, such as IR databases: how es er. the integration of these factors. or the interaction between them. is not handled as well as perhaps should be. Factors are presented in the order in which the authors feel then should be addressed. but there is no chapter describing how the factors interact. The authors miss an opportunity at the beginning of Part 2 where they could illustrate using a figure the interactions between the 20 factors they list in a way that is not possible with the linear structure of the book.

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Date

22.10.2006 10:22:33

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Content

Inhalt Collaborating to search effectively in different searcher modes through cues and specialty search / Naresh Kumar Agarwal and Danny C.C. Poo -- Collaborative querying using a hybrid content and results-based approach / Chandrani Sinha Ray ... [et al.] -- Collaborative classification for group-oriented organization of search results / Keiichi Nakata and Amrish Singh -- A case study of use-centered descriptions : archival descriptions of what can be done with a collection / Richard Butterworth -- Metadata for social recommendations : storing, sharing, and reusing evaluations of learning resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval -- Social network models for enhancing reference-based search engine rankings / Nikolaos Korfiatis ... [et al.] -- From PageRank to social rank : authority-based retrieval in social information spaces / Sebastian Marius Kirsch ... [et al.] -- Adaptive peer-to-peer social networks for distributed content-based Web search / Le-Shin Wu ... [et al.] -- The ethics of social information retrieval / Brendan Luyt and Chu Keong Lee -- The social context of knowledge / Daniel Memmi -- Social information seeking in digital libraries / George Buchanan and Annika Hinze -- Relevant intra-actions in networked environments / Theresa Dirndorfer Anderson -- Publication and citation analysis as a tool for information retrieval / Ronald Rousseau -- Personalized information retrieval in a semantic-based learning environment / Antonella Carbonaro and Rodolfo Ferrini -- Multi-agent tourism system (MATS) / Soe Yu Maw and Myo-Myo Naing -- Hybrid recommendation systems : a case study on the movies domain / Konstantinos Markellos ... [et al.].