Proper conceptual instruments and operative tools are now needed to support the design of database models in the production of digital detailed geological maps by GIS applications. In these activities, problems related to uncertainty, usefulness and quality of geological data should be taken into account, while use-constraints of web-disseminated data are to be determined. In this paper, an analysis is carried out on the phases that characterize the acquisi- tion of structural-geological knowledge and related different levels of uncertainty. Methodologies to represent geological uncertainty in GIS databases are then proposed: tools (ontologies, metadata, rela- tional database tools) implemented in DBMS (Database Manage- ment Systems) are planned to help users to understand the origin and representativity of data, as well as the interpretations that lie beneath the geological conceptualization. In this view, geological database models should be flexible enough to describe the plurality of actual geological situations, other than consistent with sharing and interoperability needs. The representation of geological uncer- tainty, and the possibility to re-trace the knowledge path of data makers, allows evaluation of the quality of input-data with respect to a given purpose. Since these processes of giving information in an explicit format require more objectivity in producing input-data, an improvement of original data quality is expected.

The representation of knowledge and uncertainty in databases of GIS geological maps

Balestro G;Piana F
2007

Abstract

Proper conceptual instruments and operative tools are now needed to support the design of database models in the production of digital detailed geological maps by GIS applications. In these activities, problems related to uncertainty, usefulness and quality of geological data should be taken into account, while use-constraints of web-disseminated data are to be determined. In this paper, an analysis is carried out on the phases that characterize the acquisi- tion of structural-geological knowledge and related different levels of uncertainty. Methodologies to represent geological uncertainty in GIS databases are then proposed: tools (ontologies, metadata, rela- tional database tools) implemented in DBMS (Database Manage- ment Systems) are planned to help users to understand the origin and representativity of data, as well as the interpretations that lie beneath the geological conceptualization. In this view, geological database models should be flexible enough to describe the plurality of actual geological situations, other than consistent with sharing and interoperability needs. The representation of geological uncer- tainty, and the possibility to re-trace the knowledge path of data makers, allows evaluation of the quality of input-data with respect to a given purpose. Since these processes of giving information in an explicit format require more objectivity in producing input-data, an improvement of original data quality is expected.
2007
Istituto di Geoscienze e Georisorse - IGG - Sede Pisa
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/45142
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact