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Metadata-based generation and management of knowledgebases from molecular biological databases.
1Department of Computer Science, Birkbeck College, University of London, U.K.
Computer Methods and Programs in Biomedicine
|June 1, 1990
Summary
GENPRO software bridges knowledge-based systems and databases, enabling automatic data integration. This facilitates complex reasoning tasks in data-rich fields like protein structure analysis.
Area of Science:
- Computational Biology
- Artificial Intelligence
- Bioinformatics
Background:
- Knowledge-based systems and databases exist as isolated computational entities.
- Integrating these systems is crucial for data-rich domains.
- Existing systems lack seamless communication channels.
Purpose of the Study:
- To present GENPRO, a program facilitating communication between knowledge-based systems and databases.
- To enable automatic generation and management of data for knowledge-based systems.
- To demonstrate the application in the protein structure domain.
Main Methods:
- Developed GENPRO software to create a communication channel.
- Extended methodology for interactive Prolog clause input with verification.
- Utilized metadata for automatic generation of logic programming ground clauses from databases.
Main Results:
- GENPRO successfully integrates pre-existing databases with knowledge-based systems.
- Automatic generation of protein structure data (logic programming ground clauses) is achieved.
- Interactive input with syntactic and semantic verification enhances usability.
Conclusions:
- GENPRO provides an effective solution for integrating knowledge-based systems and databases.
- The system streamlines data handling for complex reasoning in bioinformatics.
- This approach facilitates protein structure inference, model-building, and prediction.