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S3QL: a distributed domain specific language for controlled semantic integration of life sciences data.
Helena F Deus1, Miriã C Correa, Romesh Stanislaus
1Digital Enterprise Research Institute, National University of Ireland at Galway, IDA Business Park, Lower Dangan, Galway, Ireland. helena.deus@deri.org
BMC Bioinformatics
|July 16, 2011
Summary
Linked Data enables biological discovery by interlinking data. The S3DB query language (S3QL) simplifies managing this complex biomedical data, improving collaboration and access control for researchers.
Area of Science:
- Biomedical Informatics
- Data Science
- Life Sciences
Background:
- Linked Data principles enhance data value through explicit interlinking.
- Life sciences research faces challenges in adopting Linked Data due to evolving domains and semantic web standards.
- Knowledge Organization Systems (KOSs) offer an abstraction for publishing biological discoveries as Linked Data, managing context like provenance and access control.
Purpose of the Study:
- To introduce the S3DB query language (S3QL) for operating on the Simple Sloppy Semantic Database (S3DB) core model.
- To facilitate the management of Linked Data within biological discovery contexts.
- To provide a domain-specific language for efficient knowledge organization system creation and data management.
Main Methods:
- Developed S3QL as a domain-specific language operating on the S3DB core model.
- Implemented S3QL as an application programming interface (API) for S3DB systems.
- Generalized S3QL syntax beyond the S3DB core model for broader applicability.
Main Results:
- S3QL was implemented as an API for S3DB systems managing biomedical data.
- An S3QL query was assembled to manage entities from the Simple Knowledge Organization System.
- Use cases demonstrated S3QL's utility in gastrointestinal clinical trials, cancer genomics (TCGA), and infectious disease molecular epidemiology.
Conclusions:
- S3QL provides a convenient mechanism for interoperation between public and private biomedical datasets.
- The language facilitates the integration of linked data formalisms with institutional data.
- S3QL enhances the representation of context for data interoperability in biomedical research.
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