update manuscript

paper.md

@@ -304,6 +304,6 @@ The pipeline can be tested using a local running instance of LinkedPipes or usin
 
 ## Conclusion
 
-In this work, an ETL consumption pipeline was developed to construct a knowledge graph from Bioschemas JSON-LD feeds. The LinkedPipes suite was explored and assessed as suitable for the purpose of this project. This approach proved that consuming JSON-LD data feeds through an ETL pipeline is a viable solution. Moreover, the ability to automate the execution of the pipeline via a scheduled REST API call (e.g. using a cron job or a Jenkins job) makes it convenient to continuously update the knowledge graph with new data feeds. Finally, the RDF-based nature of LinkedPipes in creating and communicating ETL pipelines largely contributes to the overall FAIRness of this approach and helps to make not only the data FAIR but also the software/pipeline used for the process to be FAIRer too.
+In this work, an ETL consumption pipeline was developed to construct a knowledge graph from Bioschemas JSON-LD feeds. The LinkedPipes suite was explored and assessed as suitable for the purpose of this project. This approach proved that consuming JSON-LD data feeds through an ETL pipeline is a viable solution. Moreover, the ability to automate the execution of the pipeline via a scheduled REST API call (e.g. using a cron job or a Jenkins job) makes it convenient to continuously update the knowledge graph with new data feeds. Finally, the RDF-based nature of LinkedPipes in creating and communicating ETL pipelines largely contributes to the overall FAIRness of this approach and helps to make not only the data FAIR but also the software/pipeline used to create the data.
 
 ## References