Interfaces to Support Customized Views and Manipulation of Statistical Data

The importance of knowledge representation in understanding and managing complex information resources is gaining increasing recognition. A clear, unambiguous representation of concepts, rules, sources, ranges, of values, etc., is fundamental to the organization and presentation of information in an intelligible and useful way. Providing citizen access to statistical information is a particular challenge, in that users have a wide range of expertise and interest to support them in their quest for answers. The knowledge representation can guide system designers in determining what kind of information to provide and how best to do it, and can also serve as a resource for the users themselves, showing them how the “statistical world” is put together.

[1]  Ronald J. Brachman,et al.  ON THE EPISTEMOLOGICAL STATUS OF SEMANTIC NETWORKS , 1979 .

[2]  Winifred Sewell,et al.  Observations of end-user online searching behavior over eleven years , 1986, J. Am. Soc. Inf. Sci..

[3]  Mary Beth Rosson,et al.  Paradox of the active user , 1987 .

[4]  Colin Potts,et al.  Design of Everyday Things , 1988 .

[5]  Louis M. Gomez,et al.  No IFs, ANDs, or ORs: A Study of Database Querying , 1990, Int. J. Man Mach. Stud..

[6]  Thomas R. Gruber,et al.  Toward principles for the design of ontologies used for knowledge sharing? , 1995, Int. J. Hum. Comput. Stud..

[7]  Frederick G. Conrad,et al.  A heuristic evaluation of a World Wide Web prototype , 1996, INTR.

[8]  Nicola Guarino.  UNDERSTANDING, BUILDING, AND USING ONTOLOGIES , 1997 .

[9]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[10]  Gary Marchionini,et al.  Information Seeking Behavior on Statistical Websites: Theoretical and Design Implications , 1998 .

[11]  Sinan Si Alhir.  UML in a Nutshell , 1998 .

[12]  Ivar Jacobson,et al.  The Unified Modeling Language User Guide , 1998, J. Database Manag..

[13]  Fredric C. Gey,et al.  Using Ordinary Language To Access Metadata of Diverse Types of Information Resources: Trade Classifications and Numeric Data. , 1999 .

[14]  Michael Levi,et al.  Interacting with statistics — report from a workshop at CHI 99 , 1999, SGCH.

[15]  Dagobert Soergel.  The Rise of Ontologies or the Reinvention of Classification , 1999, J. Am. Soc. Inf. Sci..

[16]  Jakob Nielsen,et al.  Designing Web Usability: The Practice of Simplicity , 1999 .

[17]  Gary Marchionini,et al.  Look Before You Click: A Relation Browser for Federal Statistics Websites , 2000 .

[18]  Gary Marchionini,et al.  Agileviews: A Human-Centered Framework for Interfaces to Information Spaces. , 2000 .

[19]  John F. Sowa,et al.  Knowledge representation: logical, philosophical, and computational foundations , 2000 .