A minimal client for entity-fishing service.
Project description
HIRMEOS Entity Fishing client
Python client to query the Entity Fishing service API developed in the context of the EU H2020 HIRMEOS project (WP3). For more information about entity-fishing, please check the Entity Fishing Documentation.
Installation
The client can be installed using pip:
pip install entity-fishing-client
Usage
Disambiguation
from nerd import nerd_client
client = nerd_client.NerdClient()
To disambiguate text (> 5 words):
client.disambiguate_text(
"Linux is a name that broadly denotes a family of free and open-source software operating systems (OS) built around the Linux kernel."
)
To disambiguate a search query
client.disambiguate_query(
"python method acronym concrete"
)
To process a PDF:
client.disambiguate_pdf(pdfFile, language)
you can supply the language (iso form of two digits, en, fr, etc..) and the entities (only for text) you already know, using the format:
{
'offsetEnd': 5,
'offsetStart': 0,
'rawName': 'Linux',
'wikidataId': 'Q388',
'wikipediaExternalRef': 6097297
}
The response is a tuple where the first element is the response body as a dictionary and the second element the error code. Here an example:
(
{'entities': [
{
'domains': ['Computer_Science'],
'nerd_score': 0.3753,
'nerd_selection_score': 0.7268,
'offsetEnd': 5,
'offsetStart': 0,
'rawName': 'Linux',
'type': 'PERSON',
'wikidataId': 'Q388',
'wikipediaExternalRef': 6097297
},
{
'domains': ['Computer_Science'],
'nerd_score': 0.7442,
'nerd_selection_score': 0.85,
'offsetEnd': 78,
'offsetStart': 49,
'rawName': 'free and open-source software',
'wikidataId': 'Q506883',
'wikipediaExternalRef': 1721496
},
{
'domains': ['Electrotechnology', 'Electronics',
'Computer_Science'],
'nerd_score': 0.7442,
'nerd_selection_score': 0.4487,
'offsetEnd': 96,
'offsetStart': 79,
'rawName': 'operating systems',
'wikidataId': 'Q9135',
'wikipediaExternalRef': 22194
},
{
'domains': [
'Electrotechnology', 'Electronics', 'Computer_Science'
],
'nerd_score': 0.7442,
'nerd_selection_score': 0.4487,
'offsetEnd': 100,
'offsetStart': 98,
'rawName': 'operating systems',
'wikidataId': 'Q9135',
'wikipediaExternalRef': 22194
},
{
'domains': ['Electronics', 'Computer_Science'],
'nerd_score': 0.743,
'nerd_selection_score': 0.8383,
'offsetEnd': 131,
'offsetStart': 119,
'rawName': 'Linux kernel',
'wikidataId': 'Q14579',
'wikipediaExternalRef': 21347315
}
],
'global_categories': [
{'category': 'Finnish inventions',
'page_id': 27421536,
'source': 'wikipedia-en',
'weight': 0.09684039970133569},
{'category': 'Free software programmed in C',
'page_id': 11241711,
'source': 'wikipedia-en',
'weight': 0.06433942787438053},
{'category': 'Unix variants',
'page_id': 10429397,
'source': 'wikipedia-en',
'weight': 0.09684039970133569},
{'category': 'Operating systems',
'page_id': 693664,
'source': 'wikipedia-en',
'weight': 0.12888888710813473},
{'category': 'Free software',
'page_id': 693287,
'source': 'wikipedia-en',
'weight': 0.06444444355406737},
{'category': 'Free system software',
'page_id': 6721544,
'source': 'wikipedia-en',
'weight': 0.06433942787438053},
{'category': 'Software licenses',
'page_id': 703100,
'source': 'wikipedia-en',
'weight': 0.06444444355406737},
{'category': 'Linux kernel',
'page_id': 13215678,
'source': 'wikipedia-en',
'weight': 0.06433942787438053},
{'category': 'Monolithic kernels',
'page_id': 10730969,
'source': 'wikipedia-en',
'weight': 0.06433942787438053},
{'category': '1991 software',
'page_id': 11167446,
'source': 'wikipedia-en',
'weight': 0.09684039970133569},
{'category': 'Linus Torvalds',
'page_id': 53479567,
'source': 'wikipedia-en',
'weight': 0.09684039970133569}
],
'language': {'conf': 0.9999973266294648, 'lang': 'en'},
'nbest': False,
'onlyNER': False,
'runtime': 107,
'sentences': [{'offsetEnd': 132, 'offsetStart': 0}],
'text': 'Linux is a name that broadly denotes a family of free and open-source software operating systems (OS) built around the Linux kernel.'
},
200
)
Batch processing
The batch processing is implemented in the class NerdBatch. The class can be instantiated by defining the entity-fishing url in the constructor, else the default one is used.
To run the processing, the method process requires the input directory, a callback and the number of threads/processes. There is an already ready implementation in script/batchSample.py.
To run it:
under this work branch, prepare two folders: input which containing the input Pdf files to be processed and output which collecting the processing result
we recommend to create a new virtualenv, activate it and install all the requirements needed in this virtual environment using $ pip install -r /path/of/entity-fishing-client-python/source/requirements.txt
(temporarly, until this branch is not merged) install entity-fishing multithread branch in edit mode (pip install -e /path/of/entity-fishing-client-python/source)
run it with python runFile.py input output 5
KB access
nerd.get_concept("Q456")
with response
(
{
'rawName': 'Lyon',
'preferredTerm': 'Lyon',
'nerd_score': 0,
'nerd_selection_score': 0,
'wikipediaExternalRef': 8638634,
'wikidataId': 'Q456',
'definitions': [
{
'definition': "'''Lyon''' ( or ;, locally: ; ), also known as ''Lyons'', is a city in east-central [[France]], in the [[Auvergne-Rhône-Alpes]] [[Regions of France|region]], about from [[Paris]], from [[Marseille]] and from [[Saint-Étienne]]. Inhabitants of the city are called ''Lyonnais''.",
'source': 'wikipedia-en',
'lang': 'en'
}
],
'domains': [
'Geology',
'Sociology'
],
'categories': [
{
'source': 'wikipedia-en',
'category': 'World Heritage Sites in France',
'page_id': 1178961
},
[...]
],
'multilingual': [
{
'lang': 'de',
'term': 'Lyon',
'page_id': 13964
},
{
'lang': 'es',
'term': 'Lyon',
'page_id': 46490
},
{
'lang': 'fr',
'term': 'Lyon',
'page_id': 802627
},
{
'lang': 'it',
'term': 'Lione',
'page_id': 41786
}
],
'statements': [
{
'conceptId': 'Q456',
'propertyId': 'P1082',
'propertyName': 'population',
'valueType': 'quantity',
'value': {
'amount': '+500716',
'unit': '1',
'upperBound': '+500717',
'lowerBound': '+500715'
}
},
{
'conceptId': 'Q456',
'propertyId': 'P1082',
'propertyName': 'population',
'valueType': 'quantity',
'value': {
'amount': '+500716',
'unit': '1',
'upperBound': '+500717',
'lowerBound': '+500715'
}
},
{
'conceptId': 'Q456',
'propertyId': 'P1464',
'propertyName': 'category for people born here',
'valueType': 'wikibase-item',
'value': 'Q8061504'
},
{
'conceptId': 'Q456',
'propertyId': 'P190',
'propertyName': 'sister city',
'valueType': 'wikibase-item',
'value': 'Q5687',
'valueName': 'Jericho'
},
{
'conceptId': 'Q456',
'propertyId': 'P190',
'propertyName': 'sister city',
'valueType': 'wikibase-item',
'value': 'Q2079',
'valueName': 'Leipzig'
},
{
'conceptId': 'Q456',
'propertyId': 'P190',
'propertyName': 'sister city',
'valueType': 'wikibase-item',
'value': 'Q580',
'valueName': 'Łódź'
},
[...]
]
},
200
)
Utilities
Language detection
nerd.get_language("This is a sentence. This is a second sentence.")
with response:
(
{
'sentences':
[
{'offsetStart': 0, 'offsetEnd': 19},
{'offsetStart': 19, 'offsetEnd': 46}
]
},
200
)
Segmentation
nerd.segment("This is a sentence. This is a second sentence.")
with response:
(
{
"lang": "en",
"conf": 0.9
},
200
)
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file entity-fishing-client-0.7.2.tar.gz
.
File metadata
- Download URL: entity-fishing-client-0.7.2.tar.gz
- Upload date:
- Size: 13.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 00a5e50cf82fe0c6121716e08718a3606c6396f684ce5b973ee20e0e1473353d |
|
MD5 | 2b72b5111e1fe94532f0a9191e98b37f |
|
BLAKE2b-256 | 3a9c28988b2e461c532837ffa220bc80fb2be908933a435f86632c45f294df00 |
File details
Details for the file entity_fishing_client-0.7.2-py3-none-any.whl
.
File metadata
- Download URL: entity_fishing_client-0.7.2-py3-none-any.whl
- Upload date:
- Size: 14.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2692f43efd9f6cd730a680736591a8e69fabcc6fd0f69996cd5b7c01825f718d |
|
MD5 | b44b3998995d0c8940ae161845e3220e |
|
BLAKE2b-256 | 98391015e951c9d0d90405ed9b2e0132c9441b342ea2c23ec066aeb1d4ac1c36 |