A Distributed Agent System upon Semantic Web Technologies to Provide Biological Data

Background. Semantic Web technologies are increasingly used in biological database systems. The improved expressiveness show advantages in tracking provenance and allowing knowledge to be more explicitly annotated. The list of semantic web standards needs a complementary set of tools to handle data in those formats to use them in bioinformatics workflows. Methods. The approach proposed in this paper uses the Apache Jena library to create an environment where semantic web technologies can be use in the statistical environment R. The code is exposed as two R packages available from the Comprehensive R Archive Network (CRAN). The RJava library and a custom convenience class is used to bridge between R and the Jena library. Results. We here present two examples showing how the Resource Description Framework (RDF) and SPARQL query standards can be employed in R. The first example takes input on BRCA1 SNPs from a BioMart and converts this into a RDF data set. The second example runs a query on an experimental remote SPARQL end point provided by Uniprot, and searches textual annotations of proteins encoded by the BRCA1 gene. The third example shows how the package can be used to handle RDF returned by OpenTox web services. Discussion. The two provided library bring basic semantic web technologies to R. While only a subset of Apache Jena is currently exposed, it provides key methods to deal with RDF data and resources. The libraries are freely available from the CRAN under the Affero GNU Public License version 3: http://cran.r-project.org/web/packages/rrdf/.

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Accessing biological data with semantic web technologies

10.7287/peerj.preprints.185v1 ◽

2013 ◽

Cited By ~ 2

Author(s):

Egon Willighagen

Keyword(s):

Semantic Web ◽

Brca1 Gene ◽

Database Systems ◽

Biological Data ◽

Biological Database ◽

Semantic Web Technologies ◽

Data Set ◽

Web Technologies ◽

Web Standards ◽

Rdf Data

Background. Semantic Web technologies are increasingly used in biological database systems. The improved expressiveness show advantages in tracking provenance and allowing knowledge to be more explicitly annotated. The list of semantic web standards needs a complementary set of tools to handle data in those formats to use them in bioinformatics workflows. Methods. The approach proposed in this paper uses the Apache Jena library to create an environment where semantic web technologies can be use in the statistical environment R. The code is exposed as two R packages available from the Comprehensive R Archive Network (CRAN). The RJava library and a custom convenience class is used to bridge between R and the Jena library. Results. We here present two examples showing how the Resource Description Framework (RDF) and SPARQL query standards can be employed in R. The first example takes input on BRCA1 SNPs from a BioMart and converts this into a RDF data set. The second example runs a query on an experimental remote SPARQL end point provided by Uniprot, and searches textual annotations of proteins encoded by the BRCA1 gene. Discussion. The two provided library bring basic semantic web technologies to R. While only a subset of Apache Jena is currently exposed, it provides key methods to deal with RDF data and resources. The libraries are freely available from the CRAN under the Affero GNU Public License version 3: http://cran.r-project.org/web/packages/rrdf/.

Download Full-text

Accessing biological data in R with semantic web technologies

10.7287/peerj.preprints.185 ◽

2014 ◽

Author(s):

Egon Willighagen

Keyword(s):

Semantic Web ◽

Brca1 Gene ◽

Database Systems ◽

Biological Data ◽

Biological Database ◽

Semantic Web Technologies ◽

Data Set ◽

Web Technologies ◽

Web Standards ◽

Description Framework

Background. Semantic Web technologies are increasingly used in biological database systems. The improved expressiveness shows advantages in tracking provenance and allowing knowledge to be more explicitly annotated. The list of semantic web standards needs a complementary set of tools to handle data in those formats to use them in bioinformatics workflows. Methods. The approach proposed in this paper uses the Apache Jena library to create an environment where semantic web technologies can be used in the statistical environment R. The code is exposed as two R packages available from the Comprehensive R Archive Network (CRAN). The RJava library and a custom convenience class is used to bridge between R and the Jena library. Results. We here present three examples showing how the Resource Description Framework (RDF) and SPARQL query standards can be employed in R. The first example takes input on BRCA1 SNPs from a BioMart and converts this into a RDF data set. The second example runs a query on an experimental remote SPARQL end point provided by Uniprot, and searches textual annotations of proteins encoded by the BRCA1 gene. The third example shows how the package can be used to handle RDF returned by OpenTox web services. Discussion. The two provided library bring basic semantic web technologies to R. This paper only shows examples from the biology domain, but we believe the approaches are generally applicable. It currently only exposes a subset of key Apache Jena, but the rrdf package makes it easy to make more of the library's functionality, such as the shortest path finding. The rrdf libraries are freely available from the CRAN under the Affero GNU Public License version 3: http://cran.r-project.org/web/packages/rrdf/.

Download Full-text

Accessing biological data in R with semantic web technologies

10.7287/peerj.preprints.185v3 ◽

2014 ◽

Cited By ~ 3

Author(s):

Egon Willighagen

Keyword(s):

Semantic Web ◽

Brca1 Gene ◽

Database Systems ◽

Biological Data ◽

Biological Database ◽

Semantic Web Technologies ◽

Data Set ◽

Web Technologies ◽

Web Standards ◽

Description Framework

Background. Semantic Web technologies are increasingly used in biological database systems. The improved expressiveness shows advantages in tracking provenance and allowing knowledge to be more explicitly annotated. The list of semantic web standards needs a complementary set of tools to handle data in those formats to use them in bioinformatics workflows. Methods. The approach proposed in this paper uses the Apache Jena library to create an environment where semantic web technologies can be used in the statistical environment R. The code is exposed as two R packages available from the Comprehensive R Archive Network (CRAN). The RJava library and a custom convenience class is used to bridge between R and the Jena library. Results. We here present three examples showing how the Resource Description Framework (RDF) and SPARQL query standards can be employed in R. The first example takes input on BRCA1 SNPs from a BioMart and converts this into a RDF data set. The second example runs a query on an experimental remote SPARQL end point provided by Uniprot, and searches textual annotations of proteins encoded by the BRCA1 gene. The third example shows how the package can be used to handle RDF returned by OpenTox web services. Discussion. The two provided library bring basic semantic web technologies to R. This paper only shows examples from the biology domain, but we believe the approaches are generally applicable. It currently only exposes a subset of key Apache Jena, but the rrdf package makes it easy to make more of the library's functionality, such as the shortest path finding. The rrdf libraries are freely available from the CRAN under the Affero GNU Public License version 3: http://cran.r-project.org/web/packages/rrdf/.

Download Full-text