diff --git a/README.md b/README.md
index 4a36ba4b..4acdb607 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@ Magma Core is a lightweight set of Java classes to enable [HQDM data objects](ht
 
 ## Introduction
 
-Representing things that are of common interest in data presents a consistency challenge. How can we use the apparent logic of computer based systems to store, process and query without suffering the losses due to the used of different models, structures and requirements on which interconnected systems are based? There is a lot to be gained from achieving consistency of representation, from addressing the core challenges to do with data quality and information management through to enabling emerging topics like Digital Twins & Artificial Intelligence. Inconsistent representations in data also undermines the ability to achieve improved information security, policy controls and ensuring that information is fit for its intended purpose.
+Representing things that are of common interest in data presents a consistency challenge. How can we use the apparent logic of computer based systems to store, process and query without suffering the losses due to the use of different models, structures and requirements on which interconnected systems are based? There is a lot to be gained from achieving consistency of representation, from addressing the core challenges to do with data quality and information management through to enabling emerging topics like Digital Twins & Artificial Intelligence. Inconsistent representations in data also undermines the ability to achieve improved information security, policy controls and ensuring that information is fit for its intended purpose.
 
 This code release is a contribution to support the adoption of data models that have properties that enable consistency of representation, particularly in the face of emerging and changing requirements. The theory on which the model that this repo adopts is based upon the entity-relationship model published by Dr. Matthew West\* as the [High Quality Data Model Framework](http://www.informationjunction.co.uk/hqdm_framework/). At its core are some ontological commitments drawn upon the identity of actual things being based on distinct existence in space-time. A collection of arguments, including Set Theoretic commitments, provide a powerful model framework that can be extended to (almost) any application area of interest. This approach is often summarised as 4-dimensionalism and is being incorporated into the [UK's Information Management Framework]() (part of the National Digital Twin), as the Foundation Data Model - a backbone of distributed information systems that are sufficiently integrated to address system-wide data quality. One of the challenges in adopting such models is simultaneously addressing the analytic & technological challenges. This release is provided to help those interested in learning about and adopting such models by lowering the technical barriers.
 
@@ -24,7 +24,7 @@ An introduction to Magma Core and the [HQDM Java object library](https://github.
 - To run Magma Core, run `mvn compile exec:java -Dexec.mainClass="uk.gov.gchq.magmacore.MagmaCore"`. This will execute the selected example method from the demo package. Alternatively, if you are using an IDE, you should be able to run the main method in MagmaCore.java from the editor.
 - To select which example to run, change the FusekiService.run() call in MagmaCore.java to the desired demo class in magmacore/demo. Each of these demos have slightly different behaviours, which are described in the code.
 - By default, this is set to the Fuseki server example, which will build and populate a Jena dataset hosted on a Fuseki server accessible at `localhost:3330/tdb`
-  - The dataset can then be queried via a web browser by going to `http://localhost:3330/tdb/sparql?query=?query=SELECT ?s ?p ?o WHERE {?s ?p ?o.}`
+  - The dataset can then be queried via a web browser by going to `http://localhost:3330/tdb/sparql?query=SELECT ?s ?p ?o WHERE {?s ?p ?o.}`
   - This can also be done via curl on the command line using: `curl -X POST -d "query=select ?s ?p ?o where { ?s ?p ?o . }" localhost:3330/tdb/query`
 
 ## Contributing