Search (3 results, page 1 of 1)

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Date

22. 1.2017 16:45:48

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Abstract

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.

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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.