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e4b9a7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 | # -*- coding: utf-8 -*-
# SPDX-FileCopyrightText: 2016-2025 PyThaiNLP Project
# SPDX-FileType: SOURCE
# SPDX-License-Identifier: Apache-2.0
"""
Get data from ConceptNet API at http://conceptnet.io
"""
import requests
def edges(word: str, lang: str = "th"):
"""
Get edges from `ConceptNet <http://api.conceptnet.io/>`_ API.
ConceptNet is a public semantic network, designed to help computers
understand the meanings of words that people use.
For example, the term "ConceptNet" is a "knowledge graph", and
"knowledge graph" has "common sense knowledge" which is a part of
"artificial intelligence". Also, "ConcepNet" is used for
"natural language understanding" which is a part of
"artificial intelligence".
| "ConceptNet" --is a--> "knowledge graph" --has--> "common sense"\
--a part of--> "artificial intelligence"
| "ConceptNet" --used for--> "natural language understanding"\
--a part of--> "artificial intelligence"
With this illustration, it shows relationships (represented as *Edge*)
between the terms (represented as *Node*).
This function requires an internet connection to access the ConceptNet API.
Please use it considerately. It will timeout after 10 seconds.
:param str word: word to be sent to ConceptNet API
:param str lang: abbreviation of language (i.e. *th* for Thai, *en* for
English, or *ja* for Japan). By default, it is *th*
(Thai).
:return: return edges of the given word according to the
ConceptNet network.
:rtype: list[dict]
:Example:
::
from pythainlp.corpus.conceptnet import edges
edges('hello', lang='en')
# output:
# [{
# '@id': '/a/[/r/IsA/,/c/en/hello/,/c/en/greeting/]',
# '@type': 'Edge',
# 'dataset': '/d/conceptnet/4/en',
# 'end': {'@id': '/c/en/greeting',
# '@type': 'Node',
# 'label': 'greeting',
# 'language': 'en',
# 'term': '/c/en/greeting'},
# 'license': 'cc:by/4.0',
# 'rel': {'@id': '/r/IsA', '@type': 'Relation', 'label': 'IsA'},
# 'sources': [
# {
# '@id': '/and/[/s/activity/omcs/vote/,/s/contributor/omcs/bmsacr/]',
# '@type': 'Source',
# 'activity': '/s/activity/omcs/vote',
# 'contributor': '/s/contributor/omcs/bmsacr'
# },
# {
# '@id': '/and/[/s/activity/omcs/vote/,/s/contributor/omcs/test/]',
# '@type': 'Source',
# 'activity': '/s/activity/omcs/vote',
# 'contributor': '/s/contributor/omcs/test'}
# ],
# 'start': {'@id': '/c/en/hello',
# '@type': 'Node',
# 'label': 'Hello',
# 'language': 'en',
# 'term': '/c/en/hello'},
# 'surfaceText': '[[Hello]] is a kind of [[greeting]]',
# 'weight': 3.4641016151377544
# }, ...]
edges('สวัสดี', lang='th')
# output:
# [{
# '@id': '/a/[/r/RelatedTo/,/c/th/สวัสดี/n/,/c/en/prosperity/]',
# '@type': 'Edge',
# 'dataset': '/d/wiktionary/en',
# 'end': {'@id': '/c/en/prosperity',
# '@type': 'Node',
# 'label': 'prosperity',
# 'language': 'en',
# 'term': '/c/en/prosperity'},
# 'license': 'cc:by-sa/4.0',
# 'rel': {
# '@id': '/r/RelatedTo', '@type': 'Relation',
# 'label': 'RelatedTo'},
# 'sources': [{
# '@id': '/and/[/s/process/wikiparsec/2/,/s/resource/wiktionary/en/]',
# '@type': 'Source',
# 'contributor': '/s/resource/wiktionary/en',
# 'process': '/s/process/wikiparsec/2'}],
# 'start': {'@id': '/c/th/สวัสดี/n',
# '@type': 'Node',
# 'label': 'สวัสดี',
# 'language': 'th',
# 'sense_label': 'n',
# 'term': '/c/th/สวัสดี'},
# 'surfaceText': None,
# 'weight': 1.0
# }, ...]
"""
obj = requests.get(f"https://api.conceptnet.io/c/{lang}/{word}", timeout=10).json()
return obj["edges"]
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