Cognitive Overlaps along the Polyrepresentation Continuum

The principle of polyrepresentation is a coherent and comprehensive cognitive framework that can be applied simultaneously to the cognitive space of the user and the information space of IR systems. The principle has the potential to guide the design of interactive IR systems that take full advantage of the available document representations and user’s context to improve retrieval performance.

[1]  Nicholas J. Belkin,et al.  Retrieval techniques , 1987 .

[2]  P. Ingwersen Cognitive Information Retrieval. , 1999 .

[3]  Nicholas J. Belkin,et al.  Ask for Information Retrieval: Part I. Background and Theory , 1997, J. Documentation.

[4]  E. A. Fox,et al.  Combining the Evidence of Multiple Query Representations for Information Retrieval , 1995, Inf. Process. Manag..

[5]  Carol Collier Kuhlthau Inside the Search Process: Information Seeking from the User's Perspective. , 1991 .

[6]  Peter Ingwersen,et al.  Polyrepresentation of information needs and semantic entities: elements of a cognitive theory for information retrieval interaction , 1994, SIGIR '94.

[7]  Pia Borlund,et al.  Evaluation of interactive information retrieval systems , 2000 .

[8]  Irene Wormell SAP — a new way to produce subject descriptions of books , 1981 .

[9]  B. Dervin,et al.  Information needs and uses. , 1986 .

[10]  Ole Harbo,et al.  Theory and application of information research : proceedings of the second International Research Forum on Information Science, 3-6 August 1977, Royal School of Librarianship, Copenhagen , 1980 .

[11]  Gabriella Kazai,et al.  Overview of the Initiative for the Evaluation of XML retrieval (INEX) 2002 , 2002, INEX Workshop.

[12]  C. J. van Rijsbergen,et al.  Incorporating user search behavior into relevance feedback , 2003, J. Assoc. Inf. Sci. Technol..

[13]  Miranda Lee Pao,et al.  Relevance Odds of Retrieval Overlaps from Seven Search Fields , 1994, Inf. Process. Manag..

[14]  Birger Larsen,et al.  References and citations in automatic indexing and retrieval systems - experiments with the boomerang effect , 2004 .

[15]  W. Bruce Croft,et al.  SIGIR '94 : proceedings of the seventeenth annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, organised by Dublin City University : 3-6 July 1994, Dublin, Ireland , 1994 .

[16]  Peter Ingwersen,et al.  Cognitive Perspectives of Information Retrieval Interaction: Elements of a Cognitive IR Theory , 1996, J. Documentation.

[17]  Paul Over,et al.  Interactivity at the Text Retrieval Conference (TREC) , 2001, Inf. Process. Manag..

[18]  Gerard Salton,et al.  Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer , 1989 .

[19]  Nicholas J. Belkin,et al.  Cognitive models and information transfer , 1984 .

[20]  Peter Ingwersen,et al.  Search Procedures in the Library - Analysed from the Cognitive Point of View , 1982, J. Documentation.

[21]  W. Bruce Croft,et al.  Combining automatic and manual index representations in probabilistic retrieval , 1995 .

[22]  Helen R. Tibbo,et al.  The Cystic Fibrosis Database: Content and Research Opportunities. , 1991 .

[23]  Jaana Kekäläinen,et al.  The impact of query structure and query expansion on retrieval performance , 1998, SIGIR '98.

[24]  Donna K. Harman,et al.  Overview of the first TREC conference , 1993, SIGIR.

[25]  Harry Bruce Emerging frameworks and methods : CoLIS4 : proceedings of the Fourth International Conference on Conceptions of Library and Information Science, Seattle, WA, USA, July 21-25, 2002 , 2002 .

[26]  Alan F. Smeaton,et al.  Progress in the Application of Natural Language Processing to Information Retrieval Tasks , 1992, Comput. J..

[27]  Peter Ingwersen,et al.  Information Retrieval Interaction , 1992 .

[28]  Marcia J. Bates,et al.  Subject access in online catalogs: A design model , 1986 .

[29]  Pia Borlund,et al.  The IIR evaluation model: a framework for evaluation of interactive information retrieval systems , 2003, Inf. Res..

[30]  Peter Ingwersen,et al.  Testing the principle of polyrepresentation , 2004 .

[31]  C. Benito Annual Review of Information Science and Technology (ARIST) , 2003 .

[32]  Mikkel Christoffersen Identifying core documents with a multiple evidence relevance filter , 2004, Scientometrics.

[33]  Nicholas J. Belkin,et al.  Distributed Expert-Based Information Systems: An Interdisciplinary Approach , 1987, Inf. Process. Manag..

[34]  Carol Collier Kuhlthau,et al.  A Principle of Uncertainty for Information seeking , 1993, J. Documentation.

[35]  Birger Larsen,et al.  Exploiting citation overlaps for Information Retrieval: Generating a boomerang effect from the network of scientific papers , 2002, Scientometrics.

[36]  Ryen W. White,et al.  A Simulated Study of Implicit Feedback Models , 2004, ECIR.

[37]  W. Bruce Croft,et al.  A Comparison of Text Retrieval Models , 1992, Comput. J..

[38]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.