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Using views for retrieving data from extremely heterogeneous databanks
Summary
This study introduces a novel retrieval system, SRS, to overcome challenges in accessing scattered biological data. SRS employs flexible views for integrated searching across diverse molecular biology databases.
Area of Science:
- Molecular Biology
- Bioinformatics
- Database Management
Background:
- Biological information is stored in numerous specialized, heterogeneous databases.
- Data integration is challenging due to a lack of standardization and scattered information.
- Existing systems struggle to provide unified access to diverse biological data sources.
Purpose of the Study:
- To present a novel retrieval system, SRS, for flexible information access across multiple biological databases.
- To introduce the concept of 'views' for homogeneous data retrieval.
- To address the difficulties in gathering scattered data from heterogeneous sources.
Main Methods:
- Implementation of the SRS retrieval system.
- Utilizing links between databanks for cross-database searching.
- Employing a sophisticated parsing engine for information extraction.
- Developing two types of views: list-view and table-view for data presentation.
Main Results:
- SRS provides flexible and homogeneous access to data across databank boundaries.
- The list-view displays selected data fields in their original format.
- The table-view offers a standardized format (HTML, ASCII) independent of the source databank.
- Successfully integrates information from multiple, specialized biological databases.
Conclusions:
- The SRS system with its view concept offers an effective solution for cross-database searching in molecular biology.
- This approach enhances data accessibility and usability for researchers.
- Facilitates more efficient information gathering from the fragmented landscape of biological databases.