Search (29 results, page 1 of 2)

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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.

LCSH

Semantic Web

RSWK

Semantic Web (BVB)
World Wide Web / Suchmaschine (HBZ)

Subject

Semantic Web (BVB)
World Wide Web / Suchmaschine (HBZ)
Semantic Web

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Abstract

Information retrieval (IR) is a complex human activity supported by sophisticated systems. Information science has contributed much to the design and evaluation of previous generations of IR system development and to our general understanding of how such systems should be designed and yet, due to the increasing success and diversity of IR systems, many recent textbooks concentrate on IR systems themselves and ignore the human side of searching for information. This book is the first text to provide an information science perspective on IR. Unique in its scope, the book covers the whole spectrum of information retrieval, including: history and background information; behaviour and seeking task-based information; searching and retrieval approaches to investigating information; interaction and behaviour information; representation access models; evaluation interfaces for IR; interactive techniques; web retrieval, ranking and personalization; and, recommendation, collaboration and social search multimedia: interfaces and access. A key text for senior undergraduates and masters' level students of all information and library studies courses, this book is also useful for practising LIS professionals who need to better appreciate how IR systems are designed, implemented and evaluated.

Content

Enthält die Beiträge: Interactive information retrieval: history and background / Colleen Cool and Nicholas J. Belkin - Information behavior and seeking / Peiling Wang - Task-based information searching and retrieval / Elaine G. Toms - Approaches to investigating information interaction and behaviour / Raya Fidel - Information representation / Mark D. Smucker - Access models / Edie Rasmussen - Evaluation / Kalervo Järvelin - Interfaces for information retrieval / Max Wilson - Interactive techniques / Ryen W. White - Web retrieval, ranking and personalization / Jaime Teevan and Susan Dumais - Recommendation, collaboration and social search / David M. Nichols and Michael B. Twidale - Multimedia: behaviour, interfaces and interaction / Haiming Liu, Suzanne Little and Stefan Rüger - Multimedia: information representation and access / Suzanne Little, Evan Brown and Stefan Rüger

RSWK

Information Retrieval / Informationsverhalten / Online-Recherche / Information-Retrieval-System / Aufsatzsammlung

Subject

Information Retrieval / Informationsverhalten / Online-Recherche / Information-Retrieval-System / Aufsatzsammlung

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Abstract

Information Retrieval ist die Wissenschaft, die Technik und die Praxis des Suchens und Findens von Informationen. Drei Anwendungsfälle zeigen die Relevanz dieser Teildisziplin in der Informationswissenschaft und Informatik: Suchmaschinen im Internet, Recherchewerkzeuge in unternehmensinternen Netzwerken und elektronische Informationsdienste. Das Lehrbuch vermittelt umfassend und auf leicht verständliche Weise grundlegende Kenntnisse über Theorien, Modelle und Anwendungen des Information Retrieval. Stock stellt die Retrievalforschung als einheitliche Wissenschaftsdisziplin dar, die klassische Modelle sowie aktuelle Ansätze des Web Information Retrieval gleichermaßen umfasst. Neben dem Retrieval nach Texten behandelt das Buch weitere Medien wie Bilder, Videos, gesprochene Sprache und Musik.

Classification

ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme

Content

Enthält die Kapitel: - Grundlagen der Informationswissenschaft Ziel der Buchreihe - Informationswissenschaft - Information und Wissen - Propädeutik des Information Retrieval Geschichte des Information Retrieval - Grundbegriffe des Information Retrieval - Relevanz und Pertinenz - Dokumente - Typologie von Retrievalsystemen - Architektur eines Retrievalsystems - Boolesche Retrievalsysteme Boolesches Retrieval - Informetrische Analysen - Erweitertes Boolesches Retrieval - Informationslinguistik - Natural Language Processing n-Gramme - Worte - Phrasen, Eigennamen, Komposita - Begriffe - Anaphora - Fehlertolerantes Retrieval - Klassische Retrievalmodelle Textstatistik - Vektorraummodell - Probabilistisches Modell - Web Information Retrieval Linktopologie - Strukturinformationen in Dokumenten - Nutzer und Nutzung - Themenentdeckung und -verfolgung - Spezialprobleme des Information Retrieval Soziale Netzwerke und "small worlds" - Kontrolliertes Vokabular - Sprachübergreifendes Retrieval - Anfragedialog - Retrieval von Textstellen - Bild- und Tonretrieval

Footnote

Rez. in: BuB 59(2007) H.3, S.238-239 (J. Plieninger): " ... Wertvoll ist bei Stocks »Information Retrieval« auch der Blick auf die Informationsbedürfnisse und das Verhalten der Benutzer. Er beschreibt auch daraus folgende unterschiedliche Fragestellungen für die Recherche, etwa ob es sich um ein konkretes Informationsbedürfnis handelt (Concrete Information Need - CIN) oder um ein problemorientiertes (Problem Oriented Information Need - POIN; Seite 51 f.). Das Buch geht über das hinaus, was man als Bibliothekar/in sonst auf dem Suchsektor zu lesen gewohnt ist - genau die richtige Mischung an Informationen zur vielgestaltigen Methodik, Hintergrundinformationen und Schilderung praktischer Anwendungsbereiche. Insofern stellt die Lektüre dieses grundlegenden Buches eine Bereicherung für alle dar, die mit der Recherche im weitesten Sinne zu tun haben: Neben Informationswissenschaftlern und Studierenden dieses Faches sind es vor allem Bibliothekare, die mit dem Suchen und Finden sowie der Schulung in diesem Bereich beauftragt sind."
Weitere Rez. in: Information - Wissenschaft und Praxis 58(2007) H.5, S.318-319 (R. Ferber): "Mit Information Retrieval - Informationen suchen und finden von Wolfgang G. Stock liegt ein ca. 600-seitiges Lehrbuch aus dem Oldenbourg Verlag vor. Der Einleitung kann man entnehmen, dass es sich dabei nur um den ersten Band einer vierbändigen Reihe zur Informationswissenschaft handelt. Der Klappentext verspricht die umfassende Vermittlung grundlegender Kenntnisse über Theorien, Modelle und Anwendungen des Information Retrieval, dargestellt als einheitliche Wissenschaftsdisziplin, die klassische Modelle und aktuelle Ansätze des Web Information Retrieval umfasst. Wie sein Umfang bereits erwarten lässt, bietet das Buch einen breiten Zugang zum Thema Information Retrieval. Es ist in weiten Teilen in einem erzählenden und kommunikativen Stil geschrieben, der durch viele Beispiele und rhetorische Fragen den Zugang zum Thema erleichtert. . . . Insgesamt bietet das Buch eine gute und ausführliche Einführung in das Thema Information Retrieval. Seine Stärke sind die Breite der Quellen und dargestellten Ansätze, die ausführliche Einführung in die verschiedenen Themen, Fragestellungen und Lösungsansätze, insbesondere in den Bereichen Textstatistik und Informetrie. Es ist gut zu lesen, auch wenn man sich manchmal etwas mehr inhaltliche Stringenz wünschen würde. Die Merk(ab) sätze am Schluss jedes Kapitels erleichtern auch dem eiligen Leser die Orientierung in dem durchaus umfangreichen Werk."

RVK

ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme

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Content

Pressestimmen So bringt Literatursuche Lust statt Frust. www.literaturmarkt.info Dieser Ratgeber demonstriert Schritt für Schritt, wie man die passende Literatur, z.B. für Seminar- und Hausarbeiten, findet und verarbeitet. www.lehrerbibliothek.de Schlüsselkompetenzen: Literatur recherchieren in Bibliotheken und Internet führt Studenten in die Geheimnisse der Uni-Bibliothek ein. Das Buch liefert zudem Informationen über Online-Kataloge, Datenbanken, die Elektronische Zeitschriftenbibliothek (EZB) und die gängigen Suchmaschinen. www.stellenboersen.de Nützliches und höchst informatives Lehrbuch zu der Schlüsselkompetenz Literaturrecherche. Universitätsbibliothek Freiburg Gutes Recherchieren will gelernt sein, zumal in der heutigen Zeit, da das Informationsangebot ungeahnte Ausmaße angenommen hat und sich viele davon überfordert fühlen. Da nicht alle Hochschulen entsprechende Kurse anbieten, ist es gut, einen kundigen Ratgeber wie diesen zur Hand zu haben. STUDIUM Der Ratgeber besticht durch seinen übersichtlichen Aufbau und eignet sich deshalb auch als Nachschlagewerk. Zahlreiche Beispielrecherchen, Checklisten und Tipps zur Literatursuche erleichtern die Umsetzung des Gelesenen. ph akzente Im Zentrum steht nicht nur die Recherche, sondern ein umfassender Begriff der Informationskompetenz. Germanistik Der preisgünstige Band verdient eine nachdrückliche Kaufempfehlung bei Studierenden (und Lehrenden). Informationsmittel (IFB) : digitales Rezensionsorgan für Bibliotheken und Wissenschaft.

LCSH

Web search engines

RSWK

Online-Recherche / Literaturrecherche / Informationskompetenz / Lehrbuch (BVB)

Subject

Online-Recherche / Literaturrecherche / Informationskompetenz / Lehrbuch (BVB)
Web search engines

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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.].

LCSH

Web search engines
World Wide Web / Subject access

RSWK

World Wide Web 2.0
Information Retrieval / World Wide Web / Suchmaschine

Subject

Web search engines
World Wide Web / Subject access
World Wide Web 2.0
Information Retrieval / World Wide Web / Suchmaschine

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Content

Enthält u.a. folgende Aussage von J. Aitchison u. S. Dextre Clarke: "We face a paradox. Ostensibly, the need and the opportunity to apply thesauri to information retrieval are greater than ever before. On the other hand, users resist most efforts to persuade them to apply one. The drive for interoperability of systems means we must design our vocabularies for easy integration into downstream applications such as content management systems, indexing/metatagging interfaces, search engines, and portals. Summarizing the search for vocabularies that work more intuitively, we see that there are trends working in opposite directions. In the hugely popular taxonomies an the one hand, relationships between terms are more loosely defined than in thesauri. In the ontologies that will support computer-to-computer communications in AI applications such as the Semantic Web, we see the need for much more precisely defined term relationships."
Enthält die Beiträge: Spiteri, L.F.: Word association testing and thesaurus construction: a pilot study. Aitchison, J., S.G. Dextre-Clarke: The Thesaurus: a historical viewpoint, with a look to the future. Thomas, A.R.: Teach yourself thesaurus: exercises, reading, resources. Shearer, J.R.: A practical exercise in building a thesaurus. Nielsen, M.L.: Thesaurus construction: key issues and selected readings. Riesland, M.A.: Tools of the trade: vocabulary management software. Will, L.: Thesaurus consultancy. Owens, L.A., P.A. Cochrane: Thesaurus evaluation. Greenberg, J.: User comprehension and application of information retrieval thesauri. Johnson, E.H.: Distributed thesaurus Web services. Thomas, A.R., S.K. Roe: An interview with Dr. Amy J. Warner. Landry, P.: Multilingual subject access: the linking approach of MACS.

Footnote

Rez. in: KO 32(2005) no.2, S.95-97 (A. Gilchrist):"It might be thought unfortunate that the word thesaurus is assonant with prehistoric beasts but as this book clearly demonstrates, the thesaurus is undergoing a notable revival, and we can remind ourselves that the word comes from the Greek thesaurus, meaning a treasury. This is a useful and timely source book, bringing together ten chapters, following an Editorial introduction and culminating in an interview with a member of the team responsible for revising the NISO Standard Guidelines for the construction, format and management of monolingual thesauri; formal proof of the thesaural renaissance. Though predominantly an American publication, it is good to see four English authors as well as one from Canada and one from Denmark; and with a good balance of academics and practitioners. This has helped to widen the net in the citing of useful references. While the techniques of thesaurus construction are still basically sound, the Editors, in their introduction, point out that the thesaurus, in its sense of an information retrieval tool is almost exactly 50 years old, and that the information environment of today is radically different. They claim three purposes for the compilation: "to acquaint or remind the Library and Information Science community of the history of the development of the thesaurus and standards for thesaurus construction. to provide bibliographies and tutorials from which any reader can become more grounded in her or his understanding of thesaurus construction, use and evaluation. to address topics related to thesauri but that are unique to the current digital environment, or network of networks." This last purpose, understandably, tends to be the slightly more tentative part of the book, but as Rosenfeld and Morville said in their book Information architecture for the World Wide Web "thesauri [will] become a key tool for dealing with the growing size and importance of web sites and intranets". The evidence supporting their belief has been growing steadily in the seven years since the first edition was published.

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Content

Thesauri : introduction and recent developments -- Thesauri in interactive information retrieval -- User-centered approach to the evaluation of thesauri : query formulation and expansion -- Thesauri in web-based search systems -- Thesaurus-based search and browsing functionalities in new thesaurus construction standards -- Design of search user interfaces for thesauri -- Design of user interfaces for multilingual and meta-thesauri -- User-centered evaluation of thesaurus-enhanced search user interfaces -- Guidelines for the design of thesaurus-enhanced search user interfaces -- Current trends and developments.

LCSH

World Wide Web

Subject

World Wide Web

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Classification

ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme

Date

22. 4.2007 10:07:51

RVK

ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme

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Abstract

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object. Opinion Mining and Sentiment Analysis covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. The focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. The survey includes an enumeration of the various applications, a look at general challenges and discusses categorization, extraction and summarization. Finally, it moves beyond just the technical issues, devoting significant attention to the broader implications that the development of opinion-oriented information-access services have: questions of privacy, vulnerability to manipulation, and whether or not reviews can have measurable economic impact. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided. Opinion Mining and Sentiment Analysis is the first such comprehensive survey of this vibrant and important research area and will be of interest to anyone with an interest in opinion-oriented information-seeking systems.

RSWK

World Wide Web / Meinungsäußerung / Data Mining

Subject

World Wide Web / Meinungsäußerung / Data Mining

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Abstract

This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications.

Date

23. 7.2017 13:49:22

LCSH

Semantic Web
World Wide Web / Subject access

RSWK

Semantic Web

Subject

Semantic Web
World Wide Web / Subject access
Semantic Web

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Classification

ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme
ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme

RVK

ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme
ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme

Theme

Verbale Doksprachen im Online-Retrieval

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Abstract

The main goal of this book is to transfer new research results from the fields of advanced computer sciences and information science to the design of new search engines. The readers will have a better idea of the new trends in applied research. The achievement of relevant, organized, sorted, and workable answers- to name but a few - from a search is becoming a daily need for enterprises and organizations, and, to a greater extent, for anyone. It does not consist of getting access to structural information as in standard databases; nor does it consist of searching information strictly by way of a combination of key words. It goes far beyond that. Whatever its modality, the information sought should be identified by the topics it contains, that is to say by its textual, audio, video or graphical contents. This is not a new issue. However, recent technological advances have completely changed the techniques being used. New Web technologies, the emergence of Intranet systems and the abundance of information on the Internet have created the need for efficient search and information access tools.
Recent technological progress in computer science, Web technologies, and constantly evolving information available on the Internet has drastically changed the landscape of search and access to information. Web search has significantly evolved in recent years. In the beginning, web search engines such as Google and Yahoo! were only providing search service over text documents. Aggregated search was one of the first steps to go beyond text search, and was the beginning of a new era for information seeking and retrieval. These days, new web search engines support aggregated search over a number of vertices, and blend different types of documents (e.g., images, videos) in their search results. New search engines employ advanced techniques involving machine learning, computational linguistics and psychology, user interaction and modeling, information visualization, Web engineering, artificial intelligence, distributed systems, social networks, statistical analysis, semantic analysis, and technologies over query sessions. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. It is conjectured that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.
With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, the development of effective and personalized information retrieval techniques and of user interfaces is essential. The amount of shared information and of social networks has also considerably grown, requiring metadata for new sources of information, like Wikipedia and ODP. These metadata have to provide classification information for a wide range of topics, as well as for social networking sites like Twitter, and Facebook, each of which provides additional preferences, tagging information and social contexts. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied. This book is intended for scientists and decision-makers who wish to gain working knowledge about search engines in order to evaluate available solutions and to dialogue with software and data providers.

Content

Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.
Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.

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RSWK

Suchmaschine / Information Retrieval

Subject

Suchmaschine / Information Retrieval

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Footnote

Rez. in Mitteilungen VÖB 57(2004) H.3/4, S.83-84 (O. Oberhauser): "Der Klappentext zu diesem Buch, das gleichzeitig als Cataloging & Classification Quarterly, Jg. 37, Nr. 1/2, veröffentlicht wurde, weiss mit eindrucksvollen Lobpreisungen bekannter anglo-amerikanischer Professoren aufzuwarten. Das Werk ist ein Sammelband mit 14 Artikeln von Autoren aus sechs Ländern, unter denen Kanada mit sechs Beiträgen klar dominiert (was nicht weiter überraschend ist, da die Herausgeberinnen von dort stammen). Das deklarierte Ziel des Bandes ist die Behandlung von Themen, die im Zusammenhang mit Information und Wissen in einem internationalisierten Kontext von Relevanz sind. Dies wird in vier thematisch gegliederten Abschnitten versucht. Das erste dieser Kapitel, General Bibliographic Systems, enthält vier Aufsätze, deren erster die Rolle allgemeiner und spezialisierter Klassifikationssysteme unter den Auspizien von Interoperabilität und weltweitem Zugriff reflektiert. Die anderen behandeln eine Adaptierung der DDC für die Verwendung bei der Erschliessung feministischer Literatur, die Probleme bei der Übersetzung von Klassifikationen von einer Sprache/Kultur in eine andere sowie den multilingualen Zugriff auf Dokumente in bibliographischen Datenbanken durch mehrsprachige, mit UDK-Zahlen verknüpfte Deskriptoren. Die zweite Sektion (ebenfalls vier Artikel) ist mit Information Organization in Knowledge Resources betitelt. Ihre konkreten Themen sind a) die Schwächen bibliothekarischer sachlicher Suchsysteme im internationalen Web-Kontext, b) die Recherche erziehungswissenschaftlicher Web-Ressourcen mittels "subject trees" bzw. in virtuellen Bibliotheken, c) Techniken für Text- und Data-Mining im Rahmen von Wissensorganisation und -ermittlung sowie d) Ansätze für die Wissensermittlung in nicht-bibliographischen Datenbanken.

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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.
. . . Those interested in using the book to design IR databases can work through the chapters in the order provided and end up with a set of requirements for database design. The steps outlined in this book can be rearranged in numerous orders depending on the particular circumstances. This book would benefit from a discussion of what orders are appropriate for different circumstances and bow the requirements outlined interact. I come away from Information Retrieval Design with mixed, although mainly positive feelings. Even though the aims of this book are made clear from the outset, it was still a disappointment to see issues such as implementation and evaluation covered in only a cursory manner. The book is very well structured. well written, and operates in a part of the space that bas been neglected for too long. The authors whet my appetite with discussion of design, and I would have liked to have heard a bit more about what happens in requirements' elicitation before the design issues base been identified and to impIementation after they have been addressed. Overall, the book is a comprehensive review of previous research supplemented by the authors' views on IR design. This book focuses on breadth of coverage rather than depth of coverage and is therefore potentially of more use to novices in the field. The writing style is clear, and the authors knowledge of the subject area is undoubted. I wouId recommend this book to anyone who wants to learn about IR database design and take advantage of the experience and insights of Anderson, one of tile visionaries it the field."

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LCSH

World Wide Web (Information retrieval system)

Subject

World Wide Web (Information retrieval system)

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Footnote

Rez. in: JASIST 58(2007) no.4, S.607-608 (A.D. Petrou): "One small example of a tension in the book's chapters can be expressed as: What exactly falls under information management (IM) as a domain of study? Is it content and research about a traditional life cycle of information, or is it the latter and also any other important issue in information research, such as culture, virtual reality, and online behavior, and communities of practice? In chapter 13, T.D. Wilson states, "Information management is the management of the life cycle to the point of delivery to the information user" (p. 164), yet as he also recognizes, other aspects of information are now included as IM's study matter. On p. 163 of the same chapter, Wilson offers Figure 12.2, titled "The extended life cycle of information." The life cycle in this case includes the following information stages: acquisition, organization, storage, retrieval, access and lending, and dissemination. All of these six stages Wilson labels, inside the circle, as IM. The rest of the extended information life cycle is information use, which includes use, sharing, and application. Chapter 3's author, Gunilla Widen-Wulff, quoting Davenport (1994), states "effective IM is about helping people make effective use of the information, rather than the machines" (p. 31). Widen-Wulff, however, addresses IM from an information culture perspective. To review the book's critical content, IM definitions and research methodology and methods reported in chapters are critically summarized next. This will provide basic information for anyone interested in using the book as an information research reader.
Allen strikes a realistic note of the institutional importance of trust across teams of academics and administrators, and subsequently of the political behavior of academics and computer services administrators/ managers and the relation of the latter to information strategy formulation. Research was conducted at 12 university sites, information strategy process documents were analyzed, and 20 informants were interviewed at each site. The study's research focused on cross-case analysis (instead of an iterative approach to collection and analysis of data), research was longitudinal, and a grounded theory approach was employed. According to the author, findings confirm a similar position taken by Pettigrew (1977): "development of information strategy is the outcome of negotiated political relations" (p. 177). And for such negotiated political relations, the author concludes, trust is a necessary ingredient. It is important to reiterate that IM's scope requires a diversity of study methods and methodologies to address all issues involved. A multiplicity of information and IM definitions and the number of local and global issues that must be addressed, along with information's significance as resource and/or commodity in different types of organizations, necessitate diversity in information research. Each chapter has demonstrated a need to cover many aspects of IM and to ensure that there is as much clarity in that effort as possible, and yet differentiation of IM from other related fields such as KM clearly remains a top issue. As with any other effort to define a field's boundaries, the task at hand is not easy, but while definitions and boundaries are being worked out, there is always an opportunity to engage in fruitful discussions about scope and critical issues in information research."

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Content

Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.

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Content

Information representation and retrieval : an overview -- Information representation I : basic approaches -- Information representation II : related topics -- Language in information representation and retrieval -- Retrieval techniques and query representation -- Retrieval approaches -- Information retrieval models -- Information retrieval systems -- Retrieval of information unique in content or format -- The user dimension in information representation and retrieval -- Evaluation of information representation and retrieval -- Artificial intelligence in information representation and retrieval.

Footnote

In Kapitel acht werden unterschiedliche Arten von IR-Systemen vorgestellt. Dies sind Online IR-Systeme, CD-ROM-Systeme, OPACs und Internet IR-Systeme, denen der Grossteil dieses Kapitels gewidmet ist. Zu jeder Art von System werden die historische Entwicklung und die Besonderheiten genannt. Bei den Internet-IR-Systemen wird ausführlich auf die besonderen Probleme, die bei diesen im Vergleich zu klassischen IR-Systemen auftauchen, eingegangen. Ein extra Kapitel behandelt die Besonderheiten des Retrievals bei besonderen Dokumentkollektionen und besonderen Formaten. Hier finden sich Informationen zum multilingualen Retrieval und zur Suche nach Multimedia-Inhalten, wobei besonders auf die Unterscheidung zwischen beschreibungs- und inhaltsbasiertem Ansatz der Erschließung solcher Inhalte eingegangen wird. In Kapitel zehn erfährt der Leser mehr über die Stellung des Nutzers in IRR-Prozessen. Die Autorin stellt verschiedene Arten von Suchinterfaces bzw. Benutzeroberflächen und Ansätze der Evaluation der Mensch-Maschine-Interaktion in solchen Systemen vor. Kapitel elf beschäftigt sich ausführlich mit der Evaluierung von IRR-Systemen und stellt die bedeutendsten Test (Cranfield und TREC) vor Ein kurzes abschließendes Kapitel behandelt Ansätze der künstlichen Intelligenz und ihre Anwendung bei IRR-Systemen. Der Aufbau, die knappe, aber dennoch präzise Behandlung des Themas sowie die verständliche Sprache machen dieses Buch zu eine sehr guten Einführung für Studenten in den ersten Semestern, die der englischen Sprache mächtig sind. Besonders positiv hervorzuheben ist die Behandlung auch der aktuellen Themen des IRR wie der Einsatz von Metadaten, die Behandlung von Multimedia-Informationen und der Schwerpunk bei den Internet-IR-Systemen.