Embedding knowledge in scientific databases via concept maps as metadata

Details Embedding knowledge in scientific databases via concept maps as metadata Embedding knowledge in scientific databases via concept maps as metadata

Mar 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002esasp.477..607m&link_type=abstract

In: Proceedings of the Second Solar Cycle and Space Weather Euroconference, 24 - 29 September 2001, Vico Equense, Italy. Editor:

Computer Science

Databases

1

Concept Map, Knowledge, Database

Scientific paper

In this work we suggest the use of Concept Maps (CM) as means to embed knowledge in databases as a possible overcoming of the intrinsic limitation of conventional data management. CMs, which contain operational schemes for multi-set data processing and analysis, can be organized in the database as an indexed set of metadata, which acts as a specialized expert system for the end user with no specific expertise and allows him to make an advanced use of the data by providing a guided decision support.

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