Search (28 results, page 1 of 2)

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  • × author_ss:"Ingwersen, P."
  1. Ingwersen, P.; Johansen, T.; Timmermann, P.: User-librarian negotiations and search procedures : a progress report (1980) 0.03
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    Pages
    S.160-171
    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
    Type
    a
  2. Ingwersen, P.: Cognitive analysis and the role of the intermediary in information retrieval (1986) 0.02
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    Pages
    S.206-237
    Source
    Intelligent information systems: progress and prospects. Ed.: R. Davies
    Type
    a
  3. Ingwersen, P.: ¬The cognitive viewpoint in IR (1993) 0.01
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    Footnote
    Vgl. auch die Leserbriefe von B. Frohmann in J. doc. 50(1994) no.3, S.239-240 u. D. Ellis in J. doc. 50(1994) no.3, S.241-242
    Source
    Journal of documentation. 49(1993) no.1, S.60-64
    Type
    a
  4. Ingwersen, P.; Wormell, I.: Modern indexing and retrieval techniques matching different types of information needs (1989) 0.01
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    Source
    International forum on information and documentation. 14(1989), S.17-22
    Type
    a
  5. Ingwersen, P.: Information science as a cognitive science (1994) 0.01
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    Pages
    S.23-56
    Source
    Informations- und Wissensverarbeitung in den Sozialwissenschaften: Beiträge zur Umsetzung neuer Informationstechnologien. Hrsg.: H. Best u.a
    Type
    a
  6. Järvelin, K.; Ingwersen, P.; Niemi, T.: ¬A user-oriented interface for generalised informetric analysis based on applying advanced data modelling techniques (2000) 0.01
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    Abstract
    This article presents a novel user-oriented interface for generalised informetric analysis and demonstrates how informetric calculations can easily and declaratively be specified through advanced data modelling techniques. The interface is declarative and at a high level. Therefore it is easy to use, flexible and extensible. It enables end users to perform basic informetric ad hoc calculations easily and often with much less effort than in contemporary online retrieval systems. It also provides several fruitful generalisations of typical informetric measurements like impact factors. These are based on substituting traditional foci of analysis, for instance journals, by other object types, such as authors, organisations or countries. In the interface, bibliographic data are modelled as complex objects (non-first normal form relations) and terminological and citation networks involving transitive relationships are modelled as binary relations for deductive processing. The interface is flexible, because it makes it easy to switch focus between various object types for informetric calculations, e.g. from authors to institutions. Moreover, it is demonstrated that all informetric data can easily be broken down by criteria that foster advanced analysis, e.g. by years or content-bearing attributes. Such modelling allows flexible data aggregation along many dimensions. These salient features emerge from the query interface's general data restructuring and aggregation capabilities combined with transitive processing capabilities. The features are illustrated by means of sample queries and results in the article.
    Source
    Journal of documentation. 56(2000) no.3, S.250-278
    Type
    a
  7. Järvelin, K.; Ingwersen, P.: User-oriented and cognitive models of information retrieval (2009) 0.01
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    Abstract
    The domain of user-oriented and cognitive information retrieval (IR) is first discussed, followed by a discussion on the dimensions and types of models one may build for the domain. The focus of the present entry is on the models of user-oriented and cognitive IR, not on their empirical applications. Several models with different emphases on user-oriented and cognitive IR are presented-ranging from overall approaches and relevance models to procedural models, cognitive models, and task-based models. The present entry does not discuss empirical findings based on the models.
    Type
    a
  8. Larsen, B.; Ingwersen, P.; Lund, B.: Data fusion according to the principle of polyrepresentation (2009) 0.00
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    Abstract
    We report data fusion experiments carried out on the four best-performing retrieval models from TREC 5. Three were conceptually/algorithmically very different from one another; one was algorithmically similar to one of the former. The objective of the test was to observe the performance of the 11 logical data fusion combinations compared to the performance of the four individual models and their intermediate fusions when following the principle of polyrepresentation. This principle is based on cognitive IR perspective (Ingwersen & Järvelin, 2005) and implies that each retrieval model is regarded as a representation of a unique interpretation of information retrieval (IR). It predicts that only fusions of very different, but equally good, IR models may outperform each constituent as well as their intermediate fusions. Two kinds of experiments were carried out. One tested restricted fusions, which entails that only the inner disjoint overlap documents between fused models are ranked. The second set of experiments was based on traditional data fusion methods. The experiments involved the 30 TREC 5 topics that contain more than 44 relevant documents. In all tests, the Borda and CombSUM scoring methods were used. Performance was measured by precision and recall, with document cutoff values (DCVs) at 100 and 15 documents, respectively. Results show that restricted fusions made of two, three, or four cognitively/algorithmically very different retrieval models perform significantly better than do the individual models at DCV100. At DCV15, however, the results of polyrepresentative fusion were less predictable. The traditional fusion method based on polyrepresentation principles demonstrates a clear picture of performance at both DCV levels and verifies the polyrepresentation predictions for data fusion in IR. Data fusion improves retrieval performance over their constituent IR models only if the models all are quite conceptually/algorithmically dissimilar and equally and well performing, in that order of importance.
    Date
    22. 3.2009 18:48:28
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.646-654
    Type
    a
  9. Ingwersen, P.: Information and information science in context (1992) 0.00
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    Source
    Libri. 42(1992), S.99-135
    Type
    a
  10. Ingwersen, P.: ¬A cognitive view of three selected online search facilities (1984) 0.00
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    Source
    Online review. 8(1984) no.5, S.465-492
    Type
    a
  11. Ingwersen, P.; Wormell, I.: Means to improve subject access and representation in modern information retrieval (1988) 0.00
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    Source
    Libri. 38(1988), S.94-119
    Type
    a
  12. Ingwersen, P.: Psychological aspects of information retrieval (1984) 0.00
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    Source
    Social science information studies. 4(1984), S.83-95
    Type
    a
  13. Ingwersen, P.: Information and information science (1995) 0.00
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    Pages
    S.137-174
    Type
    a
  14. Ingwersen, P.: Europe and information science (1997) 0.00
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    Source
    Journal of the American Society for Information Science. 48(1997) no.12, S.1139-1141
    Type
    a
  15. Borlund, P.; Ingwersen, P.: ¬The development of a method for the evaluation of interactive information retrieval systems (1997) 0.00
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    Abstract
    Describes the development of a methods for the evaluation and comparison of interactive information retrieval systems. The method is based on the introduction of the concept of a 'simulated work task situation' or scenario and the involvement of real end users as test persons. The relevance assessments are made with reference to the concepts of situational as well as topic relevance, assessed in a non binary way and calculated as precision. The method is further based on a mixture of simulated and real information needs, and involves also assessments made by individual panel memebers
    Source
    Journal of documentation. 53(1997) no.3, S.225-250
    Type
    a
  16. Björneborn, L.; Ingwersen, P.: Toward a basic framework for Webometrics (2004) 0.00
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    Abstract
    In this article, we define webometrics within the framework of informetric studies and bibliometrics, as belonging to library and information science, and as associated with cybermetrics as a generic subfield. We develop a consistent and detailed link typology and terminology and make explicit the distinction among different Web node levels when using the proposed conceptual framework. As a consequence, we propose a novel diagram notation to fully appreciate and investigate link structures between Web nodes in webometric analyses. We warn against taking the analogy between citation analyses and link analyses too far.
    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.14, S.1216-1227
    Type
    a
  17. Ingwersen, P.: ¬The cognitive perspective in information retrieval (1994) 0.00
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    Abstract
    Outlines the principles underlying the theory of polyrepresentation applied to the user's cognitive space and the information space of information retrieval systems, set in a cognitive framework. Uses polyrepresentation to represent the current user's information needs, problem states, and domain work tasks or interests in a structure of causality, as well as to embody semantic full text entities by means of the principle of 'intentional redundancy'
    Source
    International forum on information and documentation. 19(1994) no.2, S.25-32
    Type
    a
  18. Christensen, F.H.; Ingwersen, P.: Online citation analysis : a methodological approach (1996) 0.00
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    Abstract
    Investigates the possibilities and limitations of online citation analysis. The Dialog online processing tools RANK, MAP and TARGET are used to perform analysis of citations to and from isolated sets of documents as well as to carry out diachrone journal analysis. Discusses the implications of this analysis on the journal impact factors of ISI journals. Suggests that by the combined application of RANK and TARGET, a hitherto overlooked possibility of the online analysis of bibliographic coupling and mapping of scientific fields has been revealed
    Source
    Scientometrics. 37(1996) no.1, S.39-62
    Type
    a
  19. Ingwersen, P.: ¬The calculation of Web impact factors (1998) 0.00
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    Abstract
    Reports investigations into the feasibility and reliability of calculating impact factors for web sites, called Web Impact Factors (Web-IF). analyzes a selection of 7 small and medium scale national and 4 large web domains as well as 6 institutional web sites over a series of snapshots taken of the web during a month. Describes the data isolation and calculation methods and discusses the tests. The results thus far demonstrate that Web-IFs are calculable with high confidence for national and sector domains whilst institutional Web-IFs should be approached with caution
    Source
    Journal of documentation. 54(1998) no.2, S.236-243
    Type
    a
  20. Ingwersen, P.: Cognitive perspectives of information retrieval interaction : elements of a cognitive IR theory (1996) 0.00
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    Abstract
    The objective of this paper is to amalgamate theories of text retrieval from various research traditions into a cognitive theory for information retrieval interaction. Set in a cognitive framework, the paper outlines the concept of polyrepresentation applied to both the user's cognitive space and the information space of IR systems. The concept seeks to represent the current user's information need, problem state, and domain work task or interest in a structure of causality. Further, it implies that we should apply different methods of representation and a variety of IR techniques of different cognitive and functional origin simultaneously to each semantic full-text entity in the information space. The cognitive differences imply that by applying cognitive overlaps of information objects, originating from different interprestations of such objects through time and by type, the degree of uncertainty inherent in IR is decreased. ... The lack of consistency among authors, indexers, evaluators or users is of an identical cognitive nature. It is unavoidable, and indeed favourable to IR. In particular, for full-text retrieval, alternative semantic entities, including Salton 'et al.'s' 'passage retrieval', are proposed to replace the traditional document record as the basic retrieval entity. These empirically observed phenomena of inconsistency and of semantic entities and values associated with data interpretation support strongly a cognitive approach to IR and the logical use of olypresentation, cognitive overlaps, and both data fusion and data diffusion
    Source
    Journal of documentation. 52(1996) no.1, S.3-50
    Type
    a