-
Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010)
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- Source
- Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
-
Johnson, J.D.: On contexts of information seeking (2003)
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- Abstract
- While surprisingly little has been written about context at a meaningful level, context is central to most theoretical approaches to information seeking. In this essay I explore in more detail three senses of context. First, I look at context as equivalent to the situation in which a process is immersed. Second, I discuss contingency approaches that detail active ingredients of the situation that have specific, predictable effects. Third, I examine major frameworks for meaning systems. Then, I discuss how a deeper appreciation of context can enhance our understanding of the process of information seeking by examining two vastly different contexts in which it occurs: organizational and cancer-related, an exemplar of everyday life information seeking. This essay concludes with a discussion of the value that can be added to information seeking research and theory as a result of a deeper appreciation of context, particularly in terms of our current multi-contextual environment and individuals taking an active role in contextualizing.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018)
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- Date
- 9.12.2018 16:22:25
-
Fourie, I.: ¬A theoretical model for studying Web information seeking / searching behaviour (2003)
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- Source
- Tendencias de investigación en organización del conocimient: IV Cologuio International de Ciencas de la Documentación , VI Congreso del Capitulo Espanol de ISKO = Trends in knowledge organization research. Eds.: J.A. Frias u. C. Travieso
-
Manual of online search strategies (1992)
0.03
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- Editor
- Armstrong, C.J. u. J.A. Large
- Footnote
- Rez. in: Library Association record 94(1992) no.10, S.667 (A. Pinnock); Library review 42(1993) no.5, S.71-72 (P. Millar)
-
Wilson, T.D.: Exploring models of information behaviour : the 'uncertainty' project (1999)
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- Abstract
- My original intention in this Keynote Paper was to talk about models of information behaviour, and I shall do that to some extent. However, both Carol Kuhlthau and Amanda Spink address this general conceptual level of research into information-seeking behaviour and I thought it would more appropriate to present my current research.
- Source
- Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, Sheffield, UK, 1998. Ed. by D.K. Wilson u. D.K. Allen
-
Cole, P.F.: ¬The analysis of reference question records as a guide to the information requirements of scientists (1958)
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-
Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980)
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- Date
- 5. 8.2006 13:22:44
- Source
- Theory and application of information research. Proc. of the 2nd Int. Research Forum on Information Science, 3.-6.8.1977, Copenhagen. Ed.: O. Harbo u, L. Kajberg
-
Torres, S.D.; Hiemstra, D.; Weber, I.; Serdyukov, P.: Query recommendation in the information domain of children (2014)
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-
Abacha, A.B.; Zweigenbaum, P.: MEANS: A medical question-answering system combining NLP techniques and semantic Web technologies (2015)
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- Abstract
- The Question Answering (QA) task aims to provide precise and quick answers to user questions from a collection of documents or a database. This kind of IR system is sorely needed with the dramatic growth of digital information. In this paper, we address the problem of QA in the medical domain where several specific conditions are met. We propose a semantic approach to QA based on (i) Natural Language Processing techniques, which allow a deep analysis of medical questions and documents and (ii) semantic Web technologies at both representation and interrogation levels. We present our Semantic Question-Answering System, called MEANS and our proposed method for "Answer Search" based on semantic search and query relaxation. We evaluate the overall system performance on real questions and answers extracted from MEDLINE articles. Our experiments show promising results and suggest that a query-relaxation strategy can further improve the overall performance.
-
Lu, L.; Yuan, U.: Shall I Google it or ask the competent villain down the hall? : the moderating role of information need in information source selection (2011)
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-
Claassen, W.; Cornelius, P.; Ehrmann, D.; Tanghe, P.: Fachwissen Online-Recherche : Suchstrategien in Online-Datenbanken (1988)
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-
Sanfilippo, M.; Yang, S.; Fichman, P.: Trolling here, there, and everywhere : perceptions of trolling behaviors in context (2017)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Hsieh-Yee, I.: Search tactics of Web users in searching for texts, graphics, known items and subjects : a search simulation study (1998)
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- Date
- 25.12.1998 19:22:31
-
Xu, Y.: ¬The dynamics of interactive information retrieval behavior : part I: an activity theory perspective (2007)
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- Date
- 27. 5.2007 13:55:22
-
Nicholas, D.; Williams, P.: ¬The changing information environment : the impact of the Internet on information seeking behaviour in the media (1999)
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- Source
- Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, 13-15 August 1998, Sheffield, UK. Ed. by D.K. Wilson u. D.K. Allen
-
Vakkari, P.: Task complexity, information types, search strategies and relevance : integrating studies on information retrieval and seeking (1999)
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- Source
- Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, Sheffield, UK, 1998. Ed. by D.K. Wilson u. D.K. Allen
-
Barrio, P.; Gravano, L.: Sampling strategies for information extraction over the deep web (2017)
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- Abstract
- Information extraction systems discover structured information in natural language text. Having information in structured form enables much richer querying and data mining than possible over the natural language text. However, information extraction is a computationally expensive task, and hence improving the efficiency of the extraction process over large text collections is of critical interest. In this paper, we focus on an especially valuable family of text collections, namely, the so-called deep-web text collections, whose contents are not crawlable and are only available via querying. Important steps for efficient information extraction over deep-web text collections (e.g., selecting the collections on which to focus the extraction effort, based on their contents; or learning which documents within these collections-and in which order-to process, based on their words and phrases) require having a representative document sample from each collection. These document samples have to be collected by querying the deep-web text collections, an expensive process that renders impractical the existing sampling approaches developed for other data scenarios. In this paper, we systematically study the space of query-based document sampling techniques for information extraction over the deep web. Specifically, we consider (i) alternative query execution schedules, which vary on how they account for the query effectiveness, and (ii) alternative document retrieval and processing schedules, which vary on how they distribute the extraction effort over documents. We report the results of the first large-scale experimental evaluation of sampling techniques for information extraction over the deep web. Our results show the merits and limitations of the alternative query execution and document retrieval and processing strategies, and provide a roadmap for addressing this critically important building block for efficient, scalable information extraction.
-
Limberg, L.: Three conceptions of information seeking and use (1999)
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- Date
- 22. 3.2002 9:53:10
- Source
- Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, Sheffield, UK, 1998. Ed. by D.K. Wilson u. D.K. Allen
-
Koopmans, N.I.: What's your question? : The need for research information from the perspective of different user groups (2002)
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- Date
- 2. 7.2005 12:22:50
- Source
- Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
