Domain Visualization Based on Authorized Documents

In this paper, we show our visualization approach for supporting interactive document retrieval based on authorized documents, such as survey articles or domain dictionaries. We assume that it is effective for accessing the required information sources that the system let users recognize the information space inclusively. Our research, therefore, aims to support users to access the information sources, which the user require, through the interaction between visualized information space and the user. We will use the term “domain visualization” to refer to visualizing the structure based on contents of the domain. We suppose that domain dictionaries or surveys which must be authorized in the domain are useful for domain visualization because it needs a retrieval function not to existing closed and static document set, but to an open and dynamic one. This paper shows our methodology, some pre-experiments to discuss about feature vector and document set, and a prototype of the system.

[1]  Edmund H. Durfee,et al.  The Distributed Agent Architecture of the University of Michigan Digital Library , 1995 .

[2]  Takenobu Tokunaga,et al.  Cluster-based text categorization: a comparison of category search strategies , 1995, SIGIR '95.

[3]  T. Landauer,et al.  Indexing by Latent Semantic Analysis , 1990 .

[4]  Atsuhiro Takasu,et al.  COSPEX: A System for Constructing Private Digital Libraries , 1997, IJCAI.

[5]  Jennifer Widom,et al.  Information translation, mediation, and mosaic-based browsing in the TSIMMIS system , 1995, SIGMOD '95.

[6]  Peter Willett,et al.  Recent trends in hierarchic document clustering: A critical review , 1988, Inf. Process. Manag..

[7]  Koichi Hori,et al.  A Model for Explaining a Phenomenon in Creative Concept Formation , 1993 .

[8]  David R. Karger,et al.  Scatter/Gather: a cluster-based approach to browsing large document collections , 1992, SIGIR '92.

[9]  Edwina L. Rissland,et al.  A case-based approach to intelligent information retrieval , 1995, SIGIR '95.

[10]  Alberto O. Mendelzon,et al.  Applying database visualization to the World Wide Web , 1996, SGMD.

[11]  Brad Perry,et al.  Applying a Data Miner To Heterogeneous Schema Integration , 1995, KDD.

[12]  Matthias Hemmje,et al.  LyberWorld—a visualization user interface supporting fulltext retrieval , 1994, SIGIR '94.

[13]  Marian H. Nodine,et al.  Experience with the InfoSleuth Agent Architecture , 1998 .

[14]  David Dubin Document analysis for visualization , 1995, SIGIR '95.

[15]  Ust Beijing,et al.  Data Mining and Knowledge Discovery in Databases , 1999 .

[16]  Kevin C. O'Kane Generating Hierarchical Document Indices from Common Denominators in Large Document Collections , 1996, Inf. Process. Manag..

[17]  Hinrich Schütze,et al.  A Cooccurrence-Based Thesaurus and Two Applications to Information Retrieval , 1994, Inf. Process. Manag..