See WordNet on Wiktionary
{
"etymology_templates": [
{
"args": {
"1": "en",
"2": "word",
"3": "net"
},
"expansion": "word + net",
"name": "compound"
}
],
"etymology_text": "From word + net.",
"head_templates": [
{
"args": {},
"expansion": "WordNet",
"name": "en-proper noun"
}
],
"lang": "English",
"lang_code": "en",
"pos": "name",
"senses": [
{
"categories": [
{
"kind": "other",
"name": "English entries with incorrect language header",
"parents": [
"Entries with incorrect language header",
"Entry maintenance"
],
"source": "w"
},
{
"kind": "other",
"name": "Pages with 1 entry",
"parents": [],
"source": "w"
},
{
"kind": "other",
"name": "Pages with entries",
"parents": [],
"source": "w"
},
{
"kind": "topical",
"langcode": "en",
"name": "Artificial intelligence",
"orig": "en:Artificial intelligence",
"parents": [
"Computer science",
"Cybernetics",
"Computing",
"Sciences",
"Applied mathematics",
"Systems theory",
"Technology",
"All topics",
"Mathematics",
"Systems",
"Fundamental",
"Formal sciences",
"Interdisciplinary fields",
"Society"
],
"source": "w"
},
{
"kind": "topical",
"langcode": "en",
"name": "Linguistics",
"orig": "en:Linguistics",
"parents": [
"Language",
"Social sciences",
"Communication",
"Sciences",
"Society",
"All topics",
"Fundamental"
],
"source": "w"
}
],
"examples": [
{
"ref": "1996, Keith J. Holyoak, Paul Thagard, Mental Leaps: Analogy in Creative Thought, page 259:",
"text": "Copycat uses a network of concepts, called a Slipnet, to find correspondences between nonidentical objects, just as ARCS uses WordNet-style semantic information to find similar concepts.",
"type": "quote"
},
{
"ref": "1997, Josephine A. Edwards, Geoffrey Kingscott, Language Industries Atlas, page 334:",
"text": "Recently the Group started a project of creating a thesaurus of the WordNet type for Estonian.",
"type": "quote"
},
{
"ref": "2001, Philippe Martin and Peter Eklund, \"Large-scale cooperatively built KBs\", Harry S. Delugach, Gerd Stumme, Conceptual Structures: Broadening the Base : 9th International Conference on, page 232",
"text": "By (partly) mirroring one another, general servers would probably share a similar general WordNet-like or CYC-like ontology […]."
},
{
"ref": "2002, Nicoletta Calzolari et al., \"Towards a Standard for a Multilingual Lexical Entry: The EAGLES/ISLE Initiative\", in Alexander Gelbukh, ed., Computational Linguistics and Intelligent Text Processing: Third, page 270",
"text": "One very interesting possibility seems to be to complement WordNet-style lexicons with the SIMPLE design, thereby trying to get at a more comprehensive and coherent architecture for the development of semantic lexical resources."
},
{
"ref": "2003, Piet Van Sterkenburg, editor, A Practical Guide to Lexicography, page 198:",
"text": "Chai (2000) uses WordNet for information extraction, ie the identification and extraction of domain specific target information from a document [....]",
"type": "quote"
},
{
"ref": "2005, Paul Buitelaar, Philipp Cimiano, Bernardo Magnini, Ontology Learning from Text: Methods, Evaluation And Applications, page 64:",
"text": "For conference, which has 3 senses in WordNet, we get the following candidate taxonomic relations: [....]",
"type": "quote"
}
],
"glosses": [
"A particular wordnet, a semantically structured lexical database, for the English language at Princeton University."
],
"id": "en-WordNet-en-name-n2ROuWom",
"links": [
[
"linguistics",
"linguistics"
],
[
"artificial intelligence",
"artificial intelligence"
],
[
"wordnet",
"wordnet"
],
[
"lexical",
"lexical"
],
[
"database",
"database"
]
],
"qualifier": "artificial intelligence",
"raw_glosses": [
"(linguistics, artificial intelligence) A particular wordnet, a semantically structured lexical database, for the English language at Princeton University."
],
"topics": [
"human-sciences",
"linguistics",
"sciences"
],
"wikipedia": [
"WordNet"
]
}
],
"word": "WordNet"
}
{
"etymology_templates": [
{
"args": {
"1": "en",
"2": "word",
"3": "net"
},
"expansion": "word + net",
"name": "compound"
}
],
"etymology_text": "From word + net.",
"head_templates": [
{
"args": {},
"expansion": "WordNet",
"name": "en-proper noun"
}
],
"lang": "English",
"lang_code": "en",
"pos": "name",
"senses": [
{
"categories": [
"English compound terms",
"English entries with incorrect language header",
"English lemmas",
"English proper nouns",
"English terms with quotations",
"English uncountable nouns",
"Pages with 1 entry",
"Pages with entries",
"Quotation templates to be cleaned",
"en:Artificial intelligence",
"en:Linguistics"
],
"examples": [
{
"ref": "1996, Keith J. Holyoak, Paul Thagard, Mental Leaps: Analogy in Creative Thought, page 259:",
"text": "Copycat uses a network of concepts, called a Slipnet, to find correspondences between nonidentical objects, just as ARCS uses WordNet-style semantic information to find similar concepts.",
"type": "quote"
},
{
"ref": "1997, Josephine A. Edwards, Geoffrey Kingscott, Language Industries Atlas, page 334:",
"text": "Recently the Group started a project of creating a thesaurus of the WordNet type for Estonian.",
"type": "quote"
},
{
"ref": "2001, Philippe Martin and Peter Eklund, \"Large-scale cooperatively built KBs\", Harry S. Delugach, Gerd Stumme, Conceptual Structures: Broadening the Base : 9th International Conference on, page 232",
"text": "By (partly) mirroring one another, general servers would probably share a similar general WordNet-like or CYC-like ontology […]."
},
{
"ref": "2002, Nicoletta Calzolari et al., \"Towards a Standard for a Multilingual Lexical Entry: The EAGLES/ISLE Initiative\", in Alexander Gelbukh, ed., Computational Linguistics and Intelligent Text Processing: Third, page 270",
"text": "One very interesting possibility seems to be to complement WordNet-style lexicons with the SIMPLE design, thereby trying to get at a more comprehensive and coherent architecture for the development of semantic lexical resources."
},
{
"ref": "2003, Piet Van Sterkenburg, editor, A Practical Guide to Lexicography, page 198:",
"text": "Chai (2000) uses WordNet for information extraction, ie the identification and extraction of domain specific target information from a document [....]",
"type": "quote"
},
{
"ref": "2005, Paul Buitelaar, Philipp Cimiano, Bernardo Magnini, Ontology Learning from Text: Methods, Evaluation And Applications, page 64:",
"text": "For conference, which has 3 senses in WordNet, we get the following candidate taxonomic relations: [....]",
"type": "quote"
}
],
"glosses": [
"A particular wordnet, a semantically structured lexical database, for the English language at Princeton University."
],
"links": [
[
"linguistics",
"linguistics"
],
[
"artificial intelligence",
"artificial intelligence"
],
[
"wordnet",
"wordnet"
],
[
"lexical",
"lexical"
],
[
"database",
"database"
]
],
"qualifier": "artificial intelligence",
"raw_glosses": [
"(linguistics, artificial intelligence) A particular wordnet, a semantically structured lexical database, for the English language at Princeton University."
],
"topics": [
"human-sciences",
"linguistics",
"sciences"
],
"wikipedia": [
"WordNet"
]
}
],
"word": "WordNet"
}
Download raw JSONL data for WordNet meaning in All languages combined (3.1kB)
This page is a part of the kaikki.org machine-readable All languages combined dictionary. This dictionary is based on structured data extracted on 2024-11-06 from the enwiktionary dump dated 2024-10-02 using wiktextract (fbeafe8 and 7f03c9b). The data shown on this site has been post-processed and various details (e.g., extra categories) removed, some information disambiguated, and additional data merged from other sources. See the raw data download page for the unprocessed wiktextract data.
If you use this data in academic research, please cite Tatu Ylonen: Wiktextract: Wiktionary as Machine-Readable Structured Data, Proceedings of the 13th Conference on Language Resources and Evaluation (LREC), pp. 1317-1325, Marseille, 20-25 June 2022. Linking to the relevant page(s) under https://kaikki.org would also be greatly appreciated.