Morph-kgc

This release features support for [YARRRML](https://w3id.org/kg-construct/yarrrml), a user-friendly serialization of RML (also for [RML-star](https://w3id.org/rml/star/spec) and [RML-FNML](https://w3id.org/rml/fnml/spec)). Compliance with [RML-Core](https://w3id.org/rml/core/spec) has also been implemented.

Changes
- 167: [YARRRML](https://w3id.org/kg-construct/yarrrml) support.
- 170: [RML-Core](https://w3id.org/rml/core/spec) compliance.
- 172: Upgrading to the latest version of [RML-FNML](https://w3id.org/rml/fnml/spec).
- 173: Bug fix for in-memory DataFrames with _NaN_ cells, by ershimen.

This is a bug fix release. Queries for databricks are now correctly generated.

This release features in-memory data structures, by TheRazorace. It enables the transformation of DataFrames and Python Dicts to RDF.

Changes
- 160: Support for in-memory data structures, by TheRazorace.
- 159: Support for additional database configuration parameters enabling databricks.
- 132: Bug fix for JSON path not working for iterations over lists, by KappaGi.

This release of Morph-KGC features declarative data transformations with [`RML+FnO`](https://kg-construct.github.io/fnml-spec/). In addition to a set of built-in functions, Python user-defined functions are also supported.

Changes

117: [RML+FnO](https://kg-construct.github.io/fnml-spec/) support.
119: Fixed bug where `file_path` was not being correctly processed.
96: Upgrading the project settings file to `pyproject.toml`.
118: Namespaces in XML files are now properly handled, kudos mielvds.
124: Implementation of [RML-star](https://kg-construct.github.io/rml-star-spec/) normalization to allow star maps referencing triples maps with multiple predicate-object maps.

This is a bug fix release solving issue 113 introduced in `v2.3.0` which was causing Morph-KGC to fail when executed via command line.

This release of Morph-KGC features `RML views` over tabular sources. RML views empower the mapping of tabular data to RDF enabling complex joins, transformation functions or mixed content by using SQL, a query language familiar to data engineers.

Changes
94: Parallelized materialization when running as a library on Linux.
89: Support for [schema-qualified names](https://www.w3.org/TR/r2rml/#dfn-schema-qualified-name).
87: Compacting and simplifying the internal representation of quoted maps.
86: Emty arrays in JSON are now processed correctly.
81: CSVs with any separator.
80: Support for `.rml`, `.r2rml` and `.rml-star` file extensions.
76: Support of mapping rules with all term maps being constant-valued.
65: Handling non-atomic write operation in Windows.
93: RML tabular views.
84: Compacting and simplifying the internal representation of subject, predicate, object and graph maps.