Designing views in hypothesiscreator: System for assisting in discovery

Osamu Maruyama, Tomoyuki Uchida, Kim Lan Sim, Satoru Miyano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


We discuss the significance of designing views on data in a computational system assisting scientists in the process of discovery. A view on data is considered as a particular way to interpret the data. In the scientific literature, devising a new view capturing the essence of data is a key to discovery. A system HypothesisCreator, which we have been developing to assist scientists in the process of discovery, supports users’ designing views on data and have the function of searching for good views on the data. In this paper we report a series of computational experiments on scientific data with HypothesisCreator and analyses of the produced hypotheses, some of which select several views good for explaining given data, searched and selected from over ten millions of designed views. Through these experiments we have convinced that view is one of the important factors in discovery process, and that discovery systems should have an ability of designing and selecting views on data in a systematic way so that experts on the data can employ their knowledge and thoughts efficiently for their purposes.

Original languageEnglish
Title of host publicationDiscovery Science - 2nd International Conference, DS 1999, Proceedings
EditorsSetsuo Arikawa, Koichi Furukawa
PublisherSpringer Verlag
Number of pages13
ISBN (Print)354066713X, 9783540667131
Publication statusPublished - 1999
Externally publishedYes
Event2nd International Conference on Discovery Science, DS 1999 - Tokyo, Japan
Duration: Dec 6 1999Dec 8 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd International Conference on Discovery Science, DS 1999

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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