Search (3 results, page 1 of 1)

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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.

RSWK

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

Subject

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

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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.

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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."