Search (5 results, page 1 of 1)

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Content

Winfried Gödert: Programmatic Issues and Introduction - Dagobert Soergel: Conceptual Foundations for Semantic Mapping and Semantic Search - Jan-Helge Jacobs, Tina Mengel, Katrin Müller: Insights and Outlooks: A Retrospective View on the CrissCross Project - Yvonne Jahns, Helga Karg: Translingual Retrieval: Moving between Vocabularies - MACS 2010 - Jessica Hubrich: Intersystem Relations: Characteristics and Functionalities - Stella G Dextre Clarke: In Pursuit of Interoperability: Can We Standardize Mapping Types? - Philipp Mayr, Philipp Schaer, Peter Mutschke: A Science Model Driven Retrieval Prototype - Claudia Effenberger, Julia Hauser: Would an Explicit Versioning of the DDC Bring Advantages for Retrieval? - Gordon Dunsire: Interoperability and Semantics in RDF Representations of FRBR, FRAD and FRSAD - Maja Zumer: FRSAD: Challenges of Modeling the Aboutness - Michael Panzer: Two Tales of a Concept: Aligning FRSAD with SKOS - Felix Boteram: Integrating Semantic Interoperability into FRSAD

Date

22. 2.2013 11:34:18

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Abstract

A modern information retrieval system must have the capability to find, organize and present very different manifestations of information - such as text, pictures, videos or database records - any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it's even harder to model in a formal way. Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. With this book, he makes two major contributions to the field of information retrieval: first, a new way to look at topical relevance, complementing the two dominant models, i.e., the classical probabilistic model and the language modeling approach, and which explicitly combines documents, queries, and relevance in a single formalism; second, a new method for modeling exchangeable sequences of discrete random variables which does not make any structural assumptions about the data and which can also handle rare events. Thus his book is of major interest to researchers and graduate students in information retrieval who specialize in relevance modeling, ranking algorithms, and language modeling.

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Footnote

Neben Anwendungen und Beispielen aus verschiedenen Ländern belegt der Autor anhand beeindruckender Beispiele, wie wenig sinnstiftend Wort-/Wortsstammfilter sind (Seite 84 bis 91). Ein Hauptproblem in der Informations- und Wissensgesellschaft sieht er darin: »Die Bequemlichkeit der Nutzer« führe zu einer selbst auferlegten »Informationsbeschränkung« bei der Nutzung von Suchmaschinen (Seite 18 bis 21). Dementsprechend sieht Strzolka in der »fehlenden Informationskompetenz und Zensur« eine »unheilvolle Allianz« (Seite 24). »Sich auf Suchmaschinen als objektive Instanz zu verlassen«, heißt es später (Seite 56), »ist so naiv, wie die Bibel als einzige Informationsquelle für das Leben in der modernen Welt zu nutzen«. Denn: »Suchmaschinen zensieren nicht - Ihre Betreiber organisieren Zensur.« Internetzensur Auf 25 Seiten (Seite 74 bis 99) dokumentiert Strzolka mit bemerkenswerten Beispielen, wie das in der Praxis geschieht. Nach Strzolka beteiligen sich Bibliothekare auch an der (Internet-)Zensur (Seite 22 f, mit Beispielen auf Seite 34). Hier wäre eine tiefergehende Auseinsandersetzung angebracht gewesen. Beeindruckend dabei, wie Strzolka über »Zensur und Idiotenfallen« (Seite 84 bis 90) berichtet. »Das Internet ist eine ausgesprochen heterogene Datensammlung und >keineswegs die größte Bibliothek der Welt>, wie immer zu hören ist.« (Seite 25) Denn: »Informationsportale verengen den Weg in die Wissensgesellschaft [...], weil sie die Fokussierung auf gewünschte Quellen [fördern]« (Seite 25). Vor diesem Hintergrund müsse deshalb eher von »Informationsbeschränkung« als von »Informationsvielfalt« die Rede sein.