Refining query previews techniques for data with multivalued attributes: the case of NASA EOSDIS
- 20 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
Query Previews allow users to rapidly gain an understanding of the content and scope of a digital data collection. These previews present overviews of abstracted metadata, enabling users to rapidly and dynamically avoid undesired data. We present our recent work on developing query previews for a variety of NASA EOSDIS situations. We focus on approaches that successfully address the challenge of multi-valued attribute data. Memory requirements and processing time associated with running these new solutions remain independent of the number of records in the dataset. We describe two techniques and their respective prototypes used to preview NASA Earth science data.Keywords
This publication has 9 references indexed in Scilit:
- Query previews in networked information systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Interface and data architecture for query preview in networked information systemsACM Transactions on Information Systems, 1999
- The geometry of browsingPublished by Springer Nature ,1998
- CubetreePublished by Association for Computing Machinery (ACM) ,1997
- Information Seeking in Electronic EnvironmentsPublished by Cambridge University Press (CUP) ,1995
- TileBarsPublished by Association for Computing Machinery (ACM) ,1995
- Dynamic queries for visual information seekingIEEE Software, 1994
- Helgon: extending the retrieval by reformulation paradigmPublished by Association for Computing Machinery (ACM) ,1989
- What makes RABBIT run?International Journal of Man-Machine Studies, 1984