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Footnote

... 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.

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Content

Table of contents 1. Introduction 2. Applications 3. General Challenges 4. Classification and Extraction 5. Summarization 6. Broader Implications 7. Publicly Available Resources 8. Concluding Remarks References

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Abstract

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.

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Date

22. 1.2017 16:45:48