- MathQL-1 is particularly helpful in distributed systems where query
- engines are implemented as stand-alone units, because in this situation
- the query results are exchanged between the system components as well as
- the queries, and thus both the queries and the query results need to be
-encoded in a clearly defined format.<br>
- <br>
-Other languages to be developed in the context of the MathQL proposal will
-be suitable for queries about the semantic structure of mathematical data:
-this will include content-based pattern-matching (MathQL-2) and possibly
-other forms of formal matching involving for instance isomorphism, unification
-and definitions expansion (MathQL-3).<br>
- </td>
- </tr>
-
- </tbody>
+ As an RDF query language, MathQL-1 provides the main features required
+ by the RDF community while complying with the needs of HELM. The peculiar
+ aspects of this language concern the query results, which are highly structured
+ and possess their own syntax, formally explained by a rigorous semantics.<br>
+ <br>
+ MathQL-1 is particularly helpful in distributed systems where query
+ engines are implemented as stand-alone units, because in this situation
+ the query results are exchanged between the system components as well
+as the queries, and thus both the queries and the query results need to
+be encoded in a clearly defined format.<br>
+ <br>
+ Other languages to be developed in the context of the MathQL proposal will
+be suitable for queries about the semantic structure of mathematical data:
+this will include content-based pattern-matching (MathQL-2) and possibly other
+forms of formal matching involving for instance isomorphism, unification and
+definitions expansion (MathQL-3).<br>
+ </td>
+ </tr>
+
+ </tbody>