Search (3 results, page 1 of 1)

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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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Date

22. 1.2017 16:45:48

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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.