!!! note
    To run this notebook in JupyterLab, load [`examples/ex2_0.ipynb`](https://github.com/DerwenAI/textgraphs/blob/main/examples/ex2_0.ipynb)

    

# bootstrap the _lemma graph_ with RDF triples

Show how to bootstrap definitions in a _lemma graph_ by loading RDF, e.g., for synonyms.

## environment


```python
from icecream import ic
from pyinstrument import Profiler
import pyvis

import textgraphs
```


```python
%load_ext watermark
```


```python
%watermark
```

    Last updated: 2024-01-16T17:35:59.608787-08:00
    
    Python implementation: CPython
    Python version       : 3.10.11
    IPython version      : 8.20.0
    
    Compiler    : Clang 13.0.0 (clang-1300.0.29.30)
    OS          : Darwin
    Release     : 21.6.0
    Machine     : x86_64
    Processor   : i386
    CPU cores   : 8
    Architecture: 64bit
    



```python
%watermark --iversions
```

    pyvis     : 0.3.2
    textgraphs: 0.5.0
    sys       : 3.10.11 (v3.10.11:7d4cc5aa85, Apr  4 2023, 19:05:19) [Clang 13.0.0 (clang-1300.0.29.30)]
    


## load the bootstrap definitions

Define the bootstrap RDF triples in N3/Turtle format: we define an entity `Werner` as a synonym for `Werner Herzog` by using the [`skos:broader`](https://www.w3.org/TR/skos-reference/#semantic-relations) relation. Keep in mind that this entity may also refer to other Werners...


```python
TTL_STR: str = """
@base <https://github.com/DerwenAI/textgraphs/ns/> .
@prefix dbo: <http://dbpedia.org/ontology/> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .

<entity/werner_PROPN> a dbo:Person ;
    skos:prefLabel "Werner"@en .

<entity/werner_PROPN_herzog_PROPN> a dbo:Person ;
    skos:prefLabel "Werner Herzog"@en.

dbo:Person skos:definition "People, including fictional"@en ;
    skos:prefLabel "person"@en .

<entity/werner_PROPN_herzog_PROPN> skos:broader <entity/werner_PROPN> .
"""
```

Provide the source text


```python
SRC_TEXT: str = """                                                                                                                      
Werner Herzog is a remarkable filmmaker and an intellectual originally from Germany, the son of Dietrich Herzog.
After the war, Werner fled to America to become famous.
"""
```

set up the statistical stack profiling


```python
profiler: Profiler = Profiler()
profiler.start()
```

set up the `TextGraphs` pipeline


```python
tg: textgraphs.TextGraphs = textgraphs.TextGraphs(
    factory = textgraphs.PipelineFactory(
        kg = textgraphs.KGWikiMedia(
            spotlight_api = textgraphs.DBPEDIA_SPOTLIGHT_API,
            dbpedia_search_api = textgraphs.DBPEDIA_SEARCH_API,
            dbpedia_sparql_api = textgraphs.DBPEDIA_SPARQL_API,
    		wikidata_api = textgraphs.WIKIDATA_API,
            min_alias = textgraphs.DBPEDIA_MIN_ALIAS,
            min_similarity = textgraphs.DBPEDIA_MIN_SIM,
        ),
    ),
)
```

load the bootstrap definitions


```python
tg.load_bootstrap_ttl(
    TTL_STR,
    debug = False,
)
```

parse the input text


```python
pipe: textgraphs.Pipeline = tg.create_pipeline(
    SRC_TEXT.strip(),
)

tg.collect_graph_elements(
    pipe,
    debug = False,
)

tg.construct_lemma_graph(
    debug = False,
)
```

## visualize the lemma graph


```python
render: textgraphs.RenderPyVis = tg.create_render()

pv_graph: pyvis.network.Network = render.render_lemma_graph(
    debug = False,
)
```

initialize the layout parameters


```python
pv_graph.force_atlas_2based(
    gravity = -38,
    central_gravity = 0.01,
    spring_length = 231,
    spring_strength = 0.7,
    damping = 0.8,
    overlap = 0,
)

pv_graph.show_buttons(filter_ = [ "physics" ])
pv_graph.toggle_physics(True)
```


```python
pv_graph.prep_notebook()
pv_graph.show("tmp.fig04.html")
```

    tmp.fig04.html






![png](ex2_0_files/tmp.fig04.png)




Notice how the `Werner` and `Werner Herzog` nodes are now linked? This synonym from the bootstrap definitions above provided means to link more portions of the _lemma graph_ than the demo in `ex0_0` with the same input text.

## statistical stack profile instrumentation


```python
profiler.stop()
```




    <pyinstrument.session.Session at 0x1522e2110>




```python
profiler.print()
```

    
      _     ._   __/__   _ _  _  _ _/_   Recorded: 17:35:59  Samples:  2846
     /_//_/// /_\ / //_// / //_'/ //     Duration: 4.111     CPU time: 3.294
    /   _/                      v4.6.1
    
    Program: /Users/paco/src/textgraphs/venv/lib/python3.10/site-packages/ipykernel_launcher.py -f /Users/paco/Library/Jupyter/runtime/kernel-4365d4ba-2d4d-4d4b-83e2-eb5ef8abfe26.json
    
    4.111 IPythonKernel.dispatch_shell  ipykernel/kernelbase.py:378
    └─ 4.075 IPythonKernel.execute_request  ipykernel/kernelbase.py:721
          [9 frames hidden]  ipykernel, IPython
             3.995 ZMQInteractiveShell.run_ast_nodes  IPython/core/interactiveshell.py:3394
             ├─ 3.250 <module>  ../ipykernel_4433/1372904243.py:1
             │  └─ 3.248 PipelineFactory.__init__  textgraphs/pipe.py:434
             │     └─ 3.232 load  spacy/__init__.py:27
             │           [98 frames hidden]  spacy, en_core_web_sm, catalogue, imp...
             │              0.496 tokenizer_factory  spacy/language.py:110
             │              └─ 0.108 _validate_special_case  spacy/tokenizer.pyx:573
             │              0.439 <lambda>  spacy/language.py:2170
             │              └─ 0.085 _validate_special_case  spacy/tokenizer.pyx:573
             ├─ 0.672 <module>  ../ipykernel_4433/3257668275.py:1
             │  └─ 0.669 TextGraphs.create_pipeline  textgraphs/doc.py:103
             │     └─ 0.669 PipelineFactory.create_pipeline  textgraphs/pipe.py:508
             │        └─ 0.669 Pipeline.__init__  textgraphs/pipe.py:216
             │           └─ 0.669 English.__call__  spacy/language.py:1016
             │                 [31 frames hidden]  spacy, spacy_dbpedia_spotlight, reque...
             └─ 0.055 <module>  ../ipykernel_4433/72966960.py:1
                └─ 0.046 Network.prep_notebook  pyvis/network.py:552
                      [5 frames hidden]  pyvis, jinja2
    
    


## outro

_\[ more parts are in progress, getting added to this demo \]_