Search (42 results, page 1 of 3)

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Abstract

For introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. 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. SUPPLEMENTS / Extensive lecture slides (in PDF and PPT format) / Solutions to selected end of chapter problems (Instructors only) / Test collections for exercises / Galago search engine

BK

54.75 / Sprachverarbeitung <Informatik>

Classification

54.75 / Sprachverarbeitung <Informatik>

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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

Information or Document Retrieval is the subject of this book. It is not an introductory book, although it is self-contained in the sense that it is not necessary to have a background in the theory or practice of Information Retrieval in order to understand its arguments. The book presents, as clearly as possible, one particular perspective on Information Retrieval, and attempts to say that certain aspects of the theory or practice of the management of documents are more important than others. The majority of Information Retrieval research has been aimed at the more experimentally tractable small-scale systems, and although much of that work has added greatly to our understanding of Information Retrieval it is becoming increasingly apparent that retrieval systems with large data bases of documents are a fundamentally different genre of systems than small-scale systems. If this is so, which is the thesis of this book, then we must now study large information retrieval systems with the same rigor and intensity that we once studied small-scale systems. Hegel observed that the quantitative growth of any system caused qualitative changes to take place in its structure and processes.

Classification

ES 930 Allgemeine und vergleichende Sprach- und Literaturwissenschaft. Indogermanistik. Außereuropäische Sprachen und Literaturen / Spezialbereiche der allgemeinen Sprachwissenschaft / Datenverarbeitung und Sprachwissenschaft. Computerlinguistik / Informationsbehandlung
ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme
AN 95000 Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft / Informationswissenschaft / Informationspraxis / Bibliographische Erfassung, Suchpraxis
ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme
ST 304 Informatik / Monographien / Künstliche Intelligenz / Automatisches Programmieren, Deduction and theorem proving, Wissensrepräsentation

Footnote

Rez. in: Library quarterly ( ), S.221-223 (S.P. Harter)

RVK

ES 930 Allgemeine und vergleichende Sprach- und Literaturwissenschaft. Indogermanistik. Außereuropäische Sprachen und Literaturen / Spezialbereiche der allgemeinen Sprachwissenschaft / Datenverarbeitung und Sprachwissenschaft. Computerlinguistik / Informationsbehandlung
ST 271 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme / Einzelne Datenbanksprachen und Datenbanksysteme
AN 95000 Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft / Informationswissenschaft / Informationspraxis / Bibliographische Erfassung, Suchpraxis
ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme
ST 304 Informatik / Monographien / Künstliche Intelligenz / Automatisches Programmieren, Deduction and theorem proving, Wissensrepräsentation

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Abstract

This book contributes to discussions within Information Retrieval and Science (IR&S) by improving our conceptual understanding of the relationship between humans and technology. A call to redirect the intellectual focus of information retrieval and science (IR&S) toward the phenomenon of technology-mediated experience. In this book, Sachi Arafat and Elham Ashoori issue a call to reorient the intellectual focus of information retrieval and science (IR&S) away from search and related processes toward the more general phenomenon of technology-mediated experience. Technology-mediated experience accounts for an increasing proportion of human lived experience; the phenomenon of mediation gets at the heart of the human-machine relationship. Framing IR&S more broadly in this way generalizes its problems and perspectives, dovetailing them with those shared across disciplines dealing with socio-technical phenomena. This reorientation of IR&S requires imagining it as a new kind of science: a science of technology-mediated experience (STME). Arafat and Ashoori not only offer detailed analysis of the foundational concepts underlying IR&S and other technical disciplines but also boldly call for a radical, systematic appropriation of the sciences and humanities to create a better understanding of the human-technology relationship. Arafat and Ashoori discuss the notion of progress in IR&S and consider ideas of progress from the history and philosophy of science. They argue that progress in IR&S requires explicit linking between technical and nontechnical aspects of discourse. They develop a network of basic questions and present a discursive framework for addressing these questions. With this book, Arafat and Ashoori provide both a manifesto for the reimagining of their field and the foundations on which a reframed IR&S would rest.

Classification

AN 96000: Allgemeines / Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft
ST 278: Mensch-Maschine-Kommunikation Software-Ergonomie / Informatik / Monografien

Content

The embedding of the foundational in the adhoc -- Notions of progress in information retrieval -- From growth to progress I : methodology for understanding progress -- From growth to progress II : the network of discourse -- Basic questions characterising foundations discourse -- Enduring nature of foundations -- Foundations as the way to the authoritative against the authoritarian : a conclusion

Footnote

Rez. in: JASIST 72(2021) no.3, S.377-383. (Marcia J. Bates)

LCSH

Information science

RSWK

Informationsverhalten / Informations- und Dokumentationswissenschaft

RVK

AN 96000: Allgemeines / Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft
ST 278: Mensch-Maschine-Kommunikation Software-Ergonomie / Informatik / Monografien

Series

History and foundations of information science

Subject

Informationsverhalten / Informations- und Dokumentationswissenschaft
Information science

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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

AN 96000 Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft / Informationswissenschaft / Informationsvermittlung, Informationsplanung / Allgemeines
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

AN 96000 Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft / Informationswissenschaft / Informationsvermittlung, Informationsplanung / Allgemeines
ST 270 Informatik / Monographien / Software und -entwicklung / Datenbanken, Datenbanksysteme, Data base management, Informationssysteme

Series

Einführung in die Informationswissenschaft; Bd.1

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Abstract

Tipps und Tricks für effizientes Recherchieren und fehlerfreies Zitieren - Unerlässlich im Studium und in vielen Berufen. Mit praktischen Recherchebeispielen, Checklisten, Infokästen, Abbildungen und GrafikenGewusst wie! Von der Auswahl der Datenbanken und Suchmaschinen, über den Einsatz der geeigneten Suchbegriffe und die Auswertung der Ergebnisse, bis hin zum korrekten Zitieren und dem Erstellen eigener Literaturlisten der Ratgeber demonstriert Schritt für Schritt, wie man die passende Literatur, z. B. für Seminar- und Hausarbeiten, findet und verarbeitet. Berücksichtigt werden dabei nicht nur gedruckte Quellen, wie Bücher, Zeitschriften und Zeitungen, sondern auch frei verfügbare oder lizenzpflichtige Internet-Ressourcen.

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.

Date

29. 8.2011 12:21:48

Footnote

Rez. in: ZfBB 58(2011) H.3/4, S.240-242 (S. Köppl)

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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.
The didactic parts of the book are a collection of exercises, readings and resources constituting a "Teach yourself " chapter written by Alan Thomas, ending with the warning that "New challenges include how to devise multi-functional and usersensitive vocabularies, corporate taxonomies and ontologies, and how to apply the transformative technology to them." This is absolutely right, and there is a need for some good writing that would tackle these issues. Another chapter, by James Shearer, skilfully manages to compress a practical exercise in building a thesaurus into some twenty A5 size pages. The third chapter in this set, by Marianne Lykke Nielsen, contains extensive reviews of key issues and selected readings under eight headings from the concept of the thesaurus, through the various construction stages and ending with automatic construction techniques. . . . This is a useful and approachable book. It is a pity that the index is such a poor advertisement for vocabulary control and usefulness."

RSWK

Informations- und Dokumentationswissenschaft / Information Retrieval / Inhaltserschließung / Thesaurus (BVB)

Subject

Informations- und Dokumentationswissenschaft / Information Retrieval / Inhaltserschließung / Thesaurus (BVB)

Theme

Konzeption und Anwendung des Prinzips Thesaurus

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Footnote

Rez. in: International classification 12(1985) S.106 (L. Kalok)

RSWK

Information und Dokumentation / Systemgrundlage (BVB)

Series

Sarada Ranganathan Lectures; 14)(Sarada Ranganathan Endowment for Library Science series ; 16

Subject

Information und Dokumentation / Systemgrundlage (BVB)

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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

Rez. in: JASIST 56(2005) no.2, S.215-216 (A. Heath): "What is small, thoroughly organized, and easy to understand? Well, it's Heting Chu's latest book an information retrieval. A very welcome release, this small literary addition to the field (only 248 pages) contains a concise and weIl-organized discussion of every major topic in information retrieval. The often-complex field of information retrieval is presented from its origin in the early 1950s to the present day. The organization of this text is top-notch, thus making this an easy read for even the novice. Unlike other titles in this area, Chu's user-friendly style of writing is done an purpose to properly introduce newcomers to the field in a less intimidating way. As stated by the author in the Preface, the purpose of the book is to "present a systematic, thorough yet nontechnical view of the field by using plain language to explain complex subjects." Chu has definitely struck up the right combination of ingredients. In a field so broad and complex, a well-organized presentation of topics that don't trip an themselves is essential. The use of plain language where possible is also a good choice for this topic because it allows one to absorb topics that are, by nature, not as easy to grasp. For instance, Chapters 6 and 7, which cover retrieval approaches and techniques, an often painstaking topic for many students and teachers is deftly handled with the use of tables that can be used to compare and contrast the various models discussed. I particularly loved Chu's use of Koll's 2000 article from the Bulletin of the American Society for Information Science to explain subject searching at the beginning of Chapter 6, which discusses the differences between browsing and searching. The Koll article uses the task of finding a needle in a haystack as an analogy.
Chu's intent with this book is clear throughout the entire text. With this presentation, she writes with the novice in mind or as she puls it in the Preface, "to anyone who is interested in learning about the field, particularly those who are new to it." After reading the text, I found that this book is also an appropriate reference book for those who are somewhat advanced in the field. I found the chapters an information retrieval models and techniques, metadata, and AI very informative in that they contain information that is often rather densely presented in other texts. Although, I must say, the metadata section in Chapter 3 is pretty basic and contains more questions about the area than information. . . . It is an excellent book to have in the classroom, an your bookshelf, etc. It reads very well and is written with the reader in mind. If you are in need of a more advanced or technical text an the subject, this is not the book for you. But, if you are looking for a comprehensive, manual that can be used as a "flip-through," then you are in luck."
Weitere Rez. in: Rez. in: nfd 55(2004) H.4, S.252 (D. Lewandowski):"Die Zahl der Bücher zum Thema Information Retrieval ist nicht gering, auch in deutscher Sprache liegen einige Titel vor. Trotzdem soll ein neues (englischsprachiges) Buch zu diesem Thema hier besprochen werden. Dieses zeichnet sich durch eine Kürze (nur etwa 230 Seiten Text) und seine gute Verständlichkeit aus und richtet sich damit bevorzugt an Studenten in den ersten Semestern. Heting Chu unterrichtet seit 1994 an Palmer School of Library and Information Science der Long Island University New York. Dass die Autorin viel Erfahrung in der Vermittlung des Stoffs in ihren Information-Retrieval-Veranstaltungen sammeln konnte, merkt man dem Buch deutlich an. Es ist einer klaren und verständlichen Sprache geschrieben und führt in die Grundlagen der Wissensrepräsentation und des Information Retrieval ein. Das Lehrbuch behandelt diese Themen als Gesamtkomplex und geht damit über den Themenbereich ähnlicher Bücher hinaus, die sich in der Regel auf das Retrieval beschränken. Das Buch ist in zwölf Kapitel gegliedert, wobei das erste Kapitel eine Übersicht über die zu behandelnden Themen gibt und den Leser auf einfache Weise in die Grundbegriffe und die Geschichte des IRR einführt. Neben einer kurzen chronologischen Darstellung der Entwicklung der IRR-Systeme werden auch vier Pioniere des Gebiets gewürdigt: Mortimer Taube, Hans Peter Luhn, Calvin N. Mooers und Gerard Salton. Dies verleiht dem von Studenten doch manchmal als trocken empfundenen Stoff eine menschliche Dimension. Das zweite und dritte Kapitel widmen sich der Wissensrepräsentation, wobei zuerst die grundlegenden Ansätze wie Indexierung, Klassifikation und Abstracting besprochen werden. Darauf folgt die Behandlung von Wissensrepräsentation mittels Metadaten, wobei v.a. neuere Ansätze wie Dublin Core und RDF behandelt werden. Weitere Unterkapitel widmen sich der Repräsentation von Volltexten und von Multimedia-Informationen. Die Stellung der Sprache im IRR wird in einem eigenen Kapitel behandelt. Dabei werden in knapper Form verschiedene Formen des kontrollierten Vokabulars und die wesentlichen Unterscheidungsmerkmale zur natürlichen Sprache erläutert. Die Eignung der beiden Repräsentationsmöglichkeiten für unterschiedliche IRR-Zwecke wird unter verschiedenen Aspekten diskutiert.
Die Kapitel fünf bis neun widmen sich dann ausführlich dem Information Retrieval. Zuerst werden grundlegende Retrievaltechniken vorgestellt und ihre Vor- und Nachteile dargestellt. Aus der Sicht des Nutzers von IR-Systemen wird der Prozess des Bildens einer Suchanfrage diskutiert und die damit verbundenen Probleme aufgezeigt. Im sechsten Kapitel werden die Retrieval-Ansätze Suchen und Browsen gegenübergestellt, entsprechende Suchstrategien aufgezeigt und schließlich Ansätze diskutiert, die suchen und browsen zu integrieren versuchen. Das siebte Kapitel beschäftigt sich dann mit dem, was den Kern der meisten IRBücher ausmacht: den IR-Modellen. Diese werden kurz vorgestellt, auf Formeln wird weitgehend verzichtet. Dies ist jedoch durchaus als Vorteil zu sehen, denn gerade Studienanfängern bereitet das Verständnis der IR-Modelle aufgrund deren Komplexität oft Schwierigkeiten. Nach der Lektüre dieses Kapitels wird man zwar nicht im Detail über die verschiedenen Modelle Bescheid wissen, wird sie jedoch kennen und einordnen können.
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.
Leider gibt es in deutscher Sprache keinen vergleichbaren Titel. Das Information-Retrieval-Buch von Ferber (2003) ist eher mathematisch orientiert und dürfte Studienanfänger der Informationswissenschaft durch seine große Detailliertheit und der damit einhergehenden großen Anzahl von Formeln eher abschrecken. Es ist eher denjenigen empfohlen, die sich intensiver mit dem Thema beschäftigen möchten. Ähnlich verhält es sich mit dem von manchen gerne genutzten Skript von Fuhr. Das Buch von Gaus (2003) ist mittlerweile schon ein Klassiker, beschäftigt sich aber im wesentlichen mit der Wissensrepräsentation und bietet zudem wenig Aktuelles. So fehlen etwa die Themen Information Retrieval im Internet und Multimedia-Retrieval komplett. Auch die Materialsammlung von Poetzsch (2002) konzentriert sich auf IR in klassischen Datenbanken und strebt zudem auch keine systematische Darstellung des Gebiets an. Zu wünschen wäre also, dass das hier besprochene Buch auch hierzulande in der Lehre Verwendung finden würde, da es den Studierenden einen knappen, gut lesbaren Einblick in das Themengebiet gibt. Es sollte aufgrund der vorbildlichen Aufbereitung des Stoffs auch Vorbild für zukünftige Autoren von Lehrbüchern sein. Und letztlich würde sich der Rezensent eine deutsche Übersetzung dieses Bandes wünschen."

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Abstract

New Directions in Human Information Behavior, co-edited by Drs. Amanda Spink and Charles Cole provides an understanding of the new directions, leading edge theories and models in human information behavior. Information behavior is conceptualized as complex human information related processes that are embedded within an individual's everyday social and life processes. The book presents chapters by an interdisciplinary range of scholars who show new directions that often challenge the established views and paradigms of information behavior studies. Beginning with an evolutionary framework, the book examines information behaviors over various epochs of human existence from the Palaeolithic Era and within pre-literate societies, to contemporary behaviors by 21st century humans. Drawing upon social and psychological science theories the book presents a more integrated and holistic approach to the understanding of information behaviors that include multitasking and non-linear longitudinal processes, individuals' information ground, information practices and information sharing, digital behaviors and human information organizing behaviors. The final chapter of the book integrates these new approaches and presents an overview of the key trends, theories and models for further research. This book is directly relevant to information scientists, librarians, social and evolutionary psychologists. Undergraduate and graduate students, academics and information professionals interested in human information behavior will find this book of particular benefit.

Content

Inhalt: Introduction: New Directions in Human Information Behavior, Amanda Spink and Charles Cole.- Emerging Evolutionary Approach to Human Information Behavior, Amanda Spink and James Currier.- Information Behavior in Pre-Literate Societies, Andrew D. Madden, Jared Bryson and Joe Palimi.- Towards a Social Framework for Information Seeking, Eszter Hargittai and Amanda Hinnant.- Mapping Textually-Mediated Information Practice in Clinical Midwifery Care, Pamela McKenzie.- Information Grounds: Theoretical Basis and Empirical Findings on Information Flow in Social Settings, Karen E. Fisher and Charles M. Naumer.-Information Sharing, Sanna Talja and Preben Hansen.- Multitasking and Coordinating Framework for Human Information Behavior, Amanda Spink, Minsoo Park and Charles Cole.- A Nonlinear Perspective on Information Seeking, Allen Foster.- A Cognitive Framework for Human Information Behavior: The Place of Metaphor in Human Information Organizing Behavior, Charles Cole and John Leide.- The Digital Information Consumer, David Nicholas, Paul Huntingron, Peter Williams and Tom Dubrowolski.- Integrating Framework and Further Research.

Footnote

Rez. in: Mitt VÖB 59(2006) H.2, S.83-88 (O. Oberhauser): "Dieser neue Sammelband möchte Interessenten aus den Bereichen Informationswissenschaft, Bibliothekswesen sowie Sozial- und Evolutionspsychologie aktuelle Entwicklungen und neue theoretische Ansätze auf dem Gebiet des menschlichen Informationsverhaltens-human information behavio(u)r bzw. kurz HIB - vermitteln. Es geht dabei um die komplexen Informationsprozesse, die in das alltägliche Sozialverhalten und die Lebensabläufe menschlicher Individuen eingebettet sind. Die beiden Herausgeber sind in diesem Teilbereich der Informationswissenschaft auch durch eine Reihe anderer Publikationen einschlägig ausgewiesen: Amanda Spink (vormals Universität Pittsburgh), die sich kürzlich selbst in aller Bescheidenheit als "world-class ICT researcher" beschrieb,' ist Professorin an der Technischen Universität Queensland (Australien); Charles Cole ist Research Associate (wissenschaftlicher Projektmitarbeiter) an der McGill University in Montreal und selbständiger Berater für Informationsdesign. Gemeinsam haben Spink und Cole zuletzt, ebenfalls bei Springer, eine weitere Aufsatzsammlung - New Directions in Cognitive Information Retrieval (2005) - herausgegeben. Das Buch versammelt zwölf Beiträge ("Kapitel"), die in fünf Sektionen dargeboten werden, wobei es sich allerdings bei den Sektionen 1 und 5 (= Kapitel 1 und 12) um Einleitung und Zusammenschau der Herausgeber handelt. Während erstere eigentlich nur eine Übersicht über die Gliederung und die Beiträge des Buches, die jeweils mit Abstracts beschrieben werden, darstellt, kann letztere als eigenständiger Beitrag gelten, der versucht, die in diesem Band angesprochenen Aspekte in einem vorläufigen HIB-Modell zu integrieren.
... New Directions in Human Information Behavior ist ein Sammelband, der eindrucksvoll dokumentiert, dass sich die Forschung zu den Themen Informationssuche bzw. Informationsverhalten - ein in unserem Sprachraum freilich wenig bekannter und weitgehend unrezipierter Teilbereich der Informationswissenschaft - gegenwärtig stark im Umbruch befindet. Der Trend von den bisherigen, eher an Paradigmen wie Dokument, fachliche Informationssuche, Bibliothek, wissenschaftliche Informationsnutzung orientierten Ansätzen hin zur Betrachtung alltäglicher Situationen und weiterer Bevölkerungsschichten sowie die Einbeziehung von neuen bzw. aus anderen sozialwissenschaftlichen Bereichen stammenden theoretischen Überlegungen ist nicht zu übersehen. Mitunter mutet dies wie eine (Wieder- bzw. Neu-)Entdeckung der Kommunikationswissenschaft durch die Informationswissenschaft an - oder auch umgekehrt, zumal einige der im vorliegenden Band Schreibenden aus communication departments kommen. Wie auch immer, wer sich für den gegenwärtigen Stand der Entwicklung auf dem HIB-Sektor interessiert, kommt um dieses Buch nicht herum. Allerdings taucht darin der Begriff framework - erfahrungsgemäss oft mit weniger handfesten Inhalten korreliert und mir daher stets ein wenig suspekt - für meinen Geschmack etwas zu häufig auf. HIB ist leider nicht das einzige Akronym, das hier eingeführt wird. Bisher ging es im gegenständlichen Kontext ja bloss um IS (information seeking) - ein neben IR (information retrieval) auch schon bekanntes und eingeführtes Kurzwort.
Angesichts des skizzierten Umbruchs kann HIB wohl akzeptiert werden, doch ist es - wie dieses Buch zu suggerieren trachtet - wirklich notwendig, daneben auch noch IBEC (information behaviour in everyday contexts), ELIS (everyday life information seeking), HIOB (human information organizing behaviour), CIB (collaborative information behaviour), CIS&R (collaborative information seeking & retrieval) und HICB (human information co-ordinating behaviour) zu verwenden? Wohl kaum, doch wer wird bzw. kann ein solches Spamming verhindern? Würde der akademische Ernst nicht jede Schadenfreude verbieten, so könnte man konstatieren, dass diese Akronymenflut zu unnötigen Druckfehlern führt (z.B. p.172, wo sogar in einer Zwischenüberschrift "HIBO" statt "HIOB" zu lesen ist). In herausgeberischer Hinsicht ist weiter zu bemängeln, dass die meist ansehnlichen und sich naheliegenderweise zum Teil überschneidenden Literaturverzeichnisse der einzelnen Beiträge besser in einer Gesamtbibliographie mit konsistentem Zitierstil zu vereinen gewesen wären, zumal sie in der vorliegenden Form auch etwas inkonsistent und nicht fehlerfrei sind. In diese Richtung zu investieren wäre sinnvoller gewesen als in die Erstellung eines geradezu erbärmlichen Sachregisters (dessen Verriss den Rahmen dieser Besprechung sprengen würde), welches auf Herausgeber bzw. Lektorat - falls es letzteres überhaupt noch gibt - ein eher fahles Licht wirft. Abgesehen davon fielen mir nur einige fehlerhafte bzw. unvollständige Angaben der Institutszugehörigkeiten am Beginn der einzelnen Kapitel (z.B. p.113, p.203) sowie die nicht ganz homogen gestalteten Kurzbiographien der Verfasser/innen am Ende des Buches auf. Der Band selbst ist von gewohnt solider Springer-Machart und zielt schon aufgrund seines hohen Preis wohl nur auf institutionelle Käufer ab."
Weitere Rez. in: JASIST 58(2007) no.10, S.1553 (C. Wang)

RSWK

Information science

Series

Information Science & Knowledge Management ; 8

Subject

Information science

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Classification

AN 94200 Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft / Informationswissenschaft / Grundlagen, Theorie / Thesauruskunde

RVK

AN 94200 Allgemeines / Buch- und Bibliothekswesen, Informationswissenschaft / Informationswissenschaft / Grundlagen, Theorie / Thesauruskunde

Theme

Konzeption und Anwendung des Prinzips Thesaurus

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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.
Im dritten Kapitel, Linguistics, Terminology, and Natural Language Processing, werden Anwendungen der Sprachtechnologie auf die Informationsrecherche und -verteilung über Sprachgrenzen hinweg, die Auswirkungen unterschiedlicher Sprachvarianten auf lexikalische Wissensmuster sowie ein "gateway" für fachübergreifende Wissensbanken, das auf einem Vokabular von Allgemeinbegriffen aus neun verschiedenen MetadatenSchemata beruht, behandelt. Der letzte Abschnitt trägt den etwas rätselhaften Titel Knowledge in the World and the World of Knowledge und enthält so heterogene Beiträge wie den Entwurf eines axiomatischen Systems für die semantische Integration von Ontologien, einen Vergleich der einflussreichen Knowledge-Management-Ansätze von Nonaka & Takeuchi (Japan) und Davenport & Prusak (USA) sowie einen Vergleich der Repräsentation amerikanischer und internationaler agrarökonomischer Themen in LCC (Library of Congress Classification) und NAICS (North American Industrial Classification System). Die eingangs erwähnten Lobeshymnen sind meiner Meinung nach ein wenig übertrieben. Das Buch ist nicht mehr und nicht weniger als ein recht typischer Sammelband mit wissenschaftlichen Artikeln von unterschiedlicher Qualität. Einige davon sind in verständlicher Sprache verfasst (wie etwa der kurze Beitrag über allgemeine vs. spezifische Klassifikationssysteme von J.-E. Mai), andere sind für normale Bibliothekare bzw. Informationswissenschaftler praktisch unlesbar (wie jener über Ontologien von R. E. Kent, der mehr als nur oberflächliche Kenntnisse der formalen Logik voraussetzt). Einige Artikel fand ich recht interessant, andere eher etwas langatmig. Die meisten Beiträge werden vermutlich eher bei wissenschaftlichen Vertretern unserer Disziplin auf Interesse stossen als bei Praktikern. Dass das Buch überein brauchbares Register verfügt, sei positiv vermerkt, zumal derlei heute nicht mehrselbstverständlich ist. Zur Anschaffung empfehlen würde ich diesen Band nicht nur Bibliotheken mit Spezialisierung auf Bibliotheks- und Informationswissenschaft, sondern auch allen grossen wissenschaftlichen Bibliotheken."
Weitere Rez. in: KO 31(2004) no.2, S.116-117 (A. Shiri)

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Abstract

Documents usually have a content and a structure. The content refers to the text of the document, whereas the structure refers to how a document is logically organized. An increasingly common way to encode the structure is through the use of a mark-up language. Nowadays, the most widely used mark-up language for representing structure is the eXtensible Mark-up Language (XML). XML can be used to provide a focused access to documents, i.e. returning XML elements, such as sections and paragraphs, instead of whole documents in response to a query. Such focused strategies are of particular benefit for information repositories containing long documents, or documents covering a wide variety of topics, where users are directed to the most relevant content within a document. The increased adoption of XML to represent a document structure requires the development of tools to effectively access documents marked-up in XML. This book provides a detailed description of query languages, indexing strategies, ranking algorithms, presentation scenarios developed to access XML documents. Major advances in XML retrieval were seen from 2002 as a result of INEX, the Initiative for Evaluation of XML Retrieval. INEX, also described in this book, provided test sets for evaluating XML retrieval effectiveness. Many of the developments and results described in this book were investigated within INEX.

LCSH

Query languages (Computer science)

Subject

Query languages (Computer science)

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Footnote

Rez. in: Information world review. 1999, no.146, S.26 (D. Parr)

LCSH

Internet (Computer network)

Subject

Internet (Computer network)

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Footnote

Rez. in: Australian library journal 49(2000) no.1, S.76-77 (R.Cullen)

LCSH

Internet (Computer network)

Subject

Internet (Computer network)

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Abstract

Let us start with a simple scenario: a man asks a woman "how high is Mount Everest?" The woman replies "29,029 feet." Nothing could be simpler. Now let us suppose that rather than standing in a room, or sitting on a bus, the man is at his desk and the woman is 300 miles away with the conversation taking place using e-mail. Still simple? Certainly--it happens every day. So why all the bother about digital (virtual, electronic, chat, etc.) reference? If the man is a pilot flying over Mount Everest, the answer matters. If you are a lawyer going to court, the identity of the woman is very important. Also, if you ever want to find the answer again, how that transaction took place matters a lot. Digital reference is a deceptively simple concept on its face: "the incorporation of human expertise into the information system." This lecture seeks to explore the question of how human expertise is incorporated into a variety of information systems, from libraries, to digital libraries, to information retrieval engines, to knowledge bases. What we learn through this endeavor, begun primarily in the library context, is that the models, methods, standards, and experiments in digital reference have wide applicability. We also catch a glimpse of an unfolding future in which ubiquitous computing makes the identification, interaction, and capture of expertise increasingly important. It is a future that is much more complex than we had anticipated. It is a future in which documents and artifacts are less important than the contexts of their creation and use.

Content

Table of Contents: Defining Reference in a Digital Age / Conversations / Digital Reference in Practice / Digital Reference an a New Future / Conclusion

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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.

LCSH

Text processing (Computer science)

Series

Foundations and trends(r) in information retrieval; 2,1/2

Subject

Text processing (Computer science)

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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

Text processing (Computer science)

Subject

Text processing (Computer science)

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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.

LCSH

User interfaces (Computer systems)

Subject

User interfaces (Computer systems)

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Abstract

Powering search offers a clear and comprehensive treatment of the role of thesauri in search user interfaces across a range of information search and retrieval systems - from bibliographic and full-text databases to digital libraries, portals, open archives, and content management systems.

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.

Footnote

Rez. in: JASIST 65(2014) no.5, S.1085-1088 (B.H. Weinberg)

Theme

Konzeption und Anwendung des Prinzips Thesaurus