Pyjedai

Optimizations, User-friendly Approach Updates

This is the second release. Project is still under development. In this release we:
- Added `WorkFlow` module: A high-level method that simplifies all the process. User friendly approach.
- Added comments in the basic methods.
- Performed time optimizations using by utilizing the most python.
- Created automatic tests.
- Created new Block Building Method, by using pre-trained embeddings and Gensim. Similarity search with FAISS framework.
- Uploaded to PyPI.
- Visualization techniques for performance check.

**First pyJedAI release:** This release presents the basic structure of the well-known JedAI toolkit into the python environment. Contains:
- **Data reading techniques**: RDF/OWL, SPARKQL, CSV, JSON, DB
- **Block building**: Standard Blocking, QGrams & Extended, SuffixArray & Extended
- **Block cleaning**: Block purging, Block filtering
- **Comparison cleaning**: Weighted edge/node pruning, Cardinality edge/node pruning, BLAST, etc
- **Entity matching**: strsimpy
- **Entity clustering**: Connected component clustering
- **Similarity Joins**: SchemaAgnosticΕJoin, TopKSchemaAgnosticJoin
- **Evaluation** through Jupyter notebook