adjectivePertainsTo

It specifies an adjective word sense that pertains to either the noun or adjective second word sense.

Comment
en-USIt specifies an adjective word sense that pertains to either the noun or adjective second word sense.
Domain
AdjectiveWordSense
Range

A8

UnionOf

A9

First
NounWordSense
Rest

A32

First
AdjectiveWordSense
Rest
nil

AdjectiveSatelliteSynset

A Synset in an adjective cluster representing a concept that is similar in meaning to the concept represented by its head synset .

Comment
en-USA Synset in an adjective cluster representing a concept that is similar in meaning to the concept represented by its head synset .
SubClassOf
AdjectiveSynset

AdjectiveSatelliteWordSense

A sense of an adjective satellite word.

Comment
en-USA sense of an adjective satellite word.
SubClassOf
AllValuesFrom
AdjectiveSatelliteSynset
OnProperty
inSynset
Cardinality
1
OnProperty
inSynset
OnProperty
inSynset
SomeValuesFrom
AdjectiveSatelliteSynset
AdjectiveWordSense

AdjectiveSynset

A synset including adjective word senses.

Comment
en-USA synset including adjective word senses.
SubClassOf
OnProperty
containsWordSense
SomeValuesFrom
AdjectiveWordSense
AllValuesFrom
AdjectiveWordSense
OnProperty
containsWordSense
Synset

AdjectiveWordSense

A sense of an adjective word.

Comment
en-USA sense of an adjective word.
SubClassOf
Cardinality
1
OnProperty
inSynset
AllValuesFrom
AdjectiveSynset
OnProperty
inSynset
OnProperty
inSynset
SomeValuesFrom
AdjectiveSynset
WordSense

adverbPertainsTo

It specifies an adverb word sense that pertains to the adjective second word sense.

Comment
en-USIt specifies an adverb word sense that pertains to the adjective second word sense.
Domain
AdverbWordSense
Range
AdjectiveWordSense

AdverbSynset

A synset including adverb word senses.

Comment
en-USA synset including adverb word senses.
SubClassOf
OnProperty
containsWordSense
SomeValuesFrom
AdverbWordSense
AllValuesFrom
AdverbWordSense
OnProperty
containsWordSense
Synset

AdverbWordSense

A meaning of an adverb word.

Comment
en-USA meaning of an adverb word.
SubClassOf
Cardinality
1
OnProperty
inSynset
AllValuesFrom
AdverbSynset
OnProperty
inSynset
OnProperty
inSynset
SomeValuesFrom
AdverbSynset
WordSense

antonymOf

It specifies antonymous word senses. This is a lexical relation that holds for all syntactic categories. For each antonymous pair, both relations are listed.

Comment
en-USIt specifies antonymous word senses. This is a lexical relation that holds for all syntactic categories. For each antonymous pair, both relations are listed.
Domain
WordSense
Range
WordSense

attribute

It defines the attribute relation between noun and adjective synset pairs in which the adjective is a value of the noun.

Comment
en-USIt defines the attribute relation between noun and adjective synset pairs in which the adjective is a value of the noun.
Domain
NounSynset
InverseOf
attributeOf
Range
AdjectiveSynset
Domain
AdjectiveSynset
InverseOf
attribute
Range
NounSynset

causedBy

It specifies that the second synset is a cause of the first synset. This relation only holds for verbs.

Comment
en-USIt specifies that the second synset is a cause of the first synset. This relation only holds for verbs.
Domain
VerbSynset
Range
VerbSynset

causes

inverse of causedBy

Comment
en-USinverse of causedBy
InverseOf
causedBy

classifiedBy

It specifies that the first synset has been classified as a member of the class (either as topic or 'category', as region, or as usage) represented by the second (noun) synset.

Comment
en-USIt specifies that the first synset has been classified as a member of the class (either as topic or 'category', as region, or as usage) represented by the second (noun) synset.
Domain
Synset
InverseOf
classifies
Range
NounSynset
Domain
Synset
Range
NounSynset
SubPropertyOf
classifiedBy
Domain
Synset
Range
NounSynset
SubPropertyOf
classifiedBy
Domain
Synset
Range
NounSynset
SubPropertyOf
classifiedBy

classifies

Domain
NounSynset
InverseOf
classifiedBy
Range
Synset

Collocation

A collocation in WordNet is a string of two or more words, connected by spaces or hyphens. Examples are: man-eating shark , blue-collar , depend on , line of products . In the database files spaces are represented as underscore (_ ) characters.

Comment
en-USA collocation in WordNet is a string of two or more words, connected by spaces or hyphens. Examples are: man-eating shark , blue-collar , depend on , line of products . In the database files spaces are represented as underscore (_ ) characters.
SubClassOf
Word

containsWordSense

****A relation added here to link synsets and word senses explicitly (in the WordNet db, it is implicit in the sense tag record)****

Comment
en-US****A relation added here to link synsets and word senses explicitly (in the WordNet db, it is implicit in the sense tag record)****
Domain
Synset
InverseOf
inSynset
Range
WordSense

derivationallyRelated

It specifies that there exists a symmetric lexical morphosemantic relation between the first and second synset terms representing derivational morphology. ***In the WordNet database this relation extends over word senses within synsets***

Comment
en-USIt specifies that there exists a symmetric lexical morphosemantic relation between the first and second synset terms representing derivational morphology. ***In the WordNet database this relation extends over word senses within synsets***
Domain
WordSense
Range
WordSense
Domain
VerbSynset
InverseOf
entails
Range
VerbSynset

entails

A verb X entails Y if X cannot be done unless Y is, or has been, done. It specifies that the second synset is an entailment of first synset. This relation only holds for verbs.

Comment
en-USA verb X entails Y if X cannot be done unless Y is, or has been, done. It specifies that the second synset is an entailment of first synset. This relation only holds for verbs.
Domain
VerbSynset
InverseOf
entailedBy
Range
VerbSynset

frame

It specifies a generic sentence frame for one or all words in a synset. The operator is defined only for verbs.

Comment
en-USIt specifies a generic sentence frame for one or all words in a synset. The operator is defined only for verbs.
Domain
VerbWordSense
Range
Literal

gloss

It specifies the gloss for a synset.

Comment
en-USIt specifies the gloss for a synset.
Domain
Synset
Range
Literal
SubPropertyOf
comment

holonymOf

It specifies that the second synset is a meronym of the first synset. This relation only holds for nouns.

Comment
en-USIt specifies that the second synset is a meronym of the first synset. This relation only holds for nouns.
Domain
NounSynset
InverseOf
meronymOf
Range
NounSynset

http://www.w3.org/2006/03/wn/wn20/schema/

From WordNet documentation (http://wordnet.princeton.edu/man/wngloss.7WN): Information in WordNet is organized around logical groupings called synsets. Each synset consists of a list of synonymous words or collocations (eg. "fountain pen" , "take in" ), and pointers that describe the relations between this synset and other synsets. A word or collocation may appear in more than one synset, and in more than one part of speech. The words in a synset are logically grouped such that they are interchangeable in some context. Two kinds of relations are represented by pointers: lexical and semantic. Lexical relations hold between word forms; semantic relations hold between word meanings. These relations include (but are not limited to) hypernymy/hyponymy, antonymy, entailment, and meronymy/holonymy. Nouns and verbs are organized into hierarchies based on the hypernymy/hyponymy relation between synsets. Additional pointers are be used to indicate other relations. Adjectives are arranged in clusters containing head synsets and satellite synsets. Each cluster is organized around antonymous pairs (and occasionally antonymous triplets). The antonymous pairs (or triplets) are indicated in the head synsets of a cluster. Most head synsets have one or more satellite synsets, each of which represents a concept that is similar in meaning to the concept represented by the head synset. One way to think of the adjective cluster organization is to visualize a wheel, with a head synset as the hub and satellite synsets as the spokes. Two or more wheels are logically connected via antonymy, which can be thought of as an axle between the wheels. Pertainyms are relational adjectives and do not follow the structure just described. Pertainyms do not have antonyms; the synset for a pertainym most often contains only one word or collocation and a lexical pointer to the noun that the adjective is "of or pertaining to". Participial adjectives have lexical pointers to the verbs that they are derived from. Adverbs are often derived from adjectives, and sometimes have antonyms; therefore the synset for an adverb usually contains a lexical pointer to the adjective from which it is derived.WordNet2.0 datamodel, version 7. This ontology is an attempt to encode part of the WordNet 2.0 datamodel into OWL. It is part of the work made by the WNET Task Force of the SWBPD Working Group of W3C. First version has been edited by Guus Schreiber, then revised by Brian McBride. Current version (4) has been enlarged, commented, and checked after the original WordNet specifications by Aldo Gangemi. V5: Minor adaptations/additions for RDFS/OWL compatibility by Mark van Assem. Changes from V5 to V6 of the datamodel: added some missing inverse properties, added owl:SymmetricProperty for wn:sameVerbGroupAs, wn:derivationallyRelated. Removed two nameless classes. V6 to V7: added class AdjectiveSatelliteWordSense.

Comment
en-USFrom WordNet documentation (http://wordnet.princeton.edu/man/wngloss.7WN): Information in WordNet is organized around logical groupings called synsets. Each synset consists of a list of synonymous words or collocations (eg. "fountain pen" , "take in" ), and pointers that describe the relations between this synset and other synsets. A word or collocation may appear in more than one synset, and in more than one part of speech. The words in a synset are logically grouped such that they are interchangeable in some context. Two kinds of relations are represented by pointers: lexical and semantic. Lexical relations hold between word forms; semantic relations hold between word meanings. These relations include (but are not limited to) hypernymy/hyponymy, antonymy, entailment, and meronymy/holonymy. Nouns and verbs are organized into hierarchies based on the hypernymy/hyponymy relation between synsets. Additional pointers are be used to indicate other relations. Adjectives are arranged in clusters containing head synsets and satellite synsets. Each cluster is organized around antonymous pairs (and occasionally antonymous triplets). The antonymous pairs (or triplets) are indicated in the head synsets of a cluster. Most head synsets have one or more satellite synsets, each of which represents a concept that is similar in meaning to the concept represented by the head synset. One way to think of the adjective cluster organization is to visualize a wheel, with a head synset as the hub and satellite synsets as the spokes. Two or more wheels are logically connected via antonymy, which can be thought of as an axle between the wheels. Pertainyms are relational adjectives and do not follow the structure just described. Pertainyms do not have antonyms; the synset for a pertainym most often contains only one word or collocation and a lexical pointer to the noun that the adjective is "of or pertaining to". Participial adjectives have lexical pointers to the verbs that they are derived from. Adverbs are often derived from adjectives, and sometimes have antonyms; therefore the synset for an adverb usually contains a lexical pointer to the adjective from which it is derived.
en-USWordNet2.0 datamodel, version 7. This ontology is an attempt to encode part of the WordNet 2.0 datamodel into OWL. It is part of the work made by the WNET Task Force of the SWBPD Working Group of W3C. First version has been edited by Guus Schreiber, then revised by Brian McBride. Current version (4) has been enlarged, commented, and checked after the original WordNet specifications by Aldo Gangemi. V5: Minor adaptations/additions for RDFS/OWL compatibility by Mark van Assem. Changes from V5 to V6 of the datamodel: added some missing inverse properties, added owl:SymmetricProperty for wn:sameVerbGroupAs, wn:derivationallyRelated. Removed two nameless classes. V6 to V7: added class AdjectiveSatelliteWordSense.
Domain
Synset
InverseOf
hyponymOf
Range
Synset

hyponymOf

It specifies that the second synset is a hypernym of the first synset. This relation holds for nouns and verbs. The symmetric operator, hyponym, implies that the first synset is a hyponym of the second synset.

Comment
en-USIt specifies that the second synset is a hypernym of the first synset. This relation holds for nouns and verbs. The symmetric operator, hyponym, implies that the first synset is a hyponym of the second synset.
Domain
Synset
InverseOf
hypernymOf
Range
Synset

inSynset

****A relation added here to link word senses and synsets explicitly (in the WordNet db, it is implicit in the sense tag record)****

Comment
en-US****A relation added here to link word senses and synsets explicitly (in the WordNet db, it is implicit in the sense tag record)****
Domain
WordSense
InverseOf
containsWordSense
Range
Synset

integer

lexicalForm

A datatype relation between Word and its lexical form.

Comment
en-USA datatype relation between Word and its lexical form.
Domain
Word
Range
Literal
SubPropertyOf
label

memberHolonymOf

It specifies that the second synset is a member meronym of the first synset. This relation only holds for nouns.

Comment
en-USIt specifies that the second synset is a member meronym of the first synset. This relation only holds for nouns.
Domain
NounSynset
InverseOf
memberMeronymOf
Range
NounSynset
SubPropertyOf
holonymOf
Domain
NounSynset
InverseOf
memberHolonymOf
Range
NounSynset
SubPropertyOf
meronymOf

meronymOf

noun/noun, e.g. nose/face

Comment
en-USnoun/noun, e.g. nose/face
Domain
NounSynset
InverseOf
holonymOf
Range
NounSynset

NounSynset

A synset including noun word senses.

Comment
en-USA synset including noun word senses.
SubClassOf
AllValuesFrom
NounWordSense
OnProperty
containsWordSense
OnProperty
containsWordSense
SomeValuesFrom
NounWordSense
Synset

NounWordSense

A meaning of a noun word.

Comment
en-USA meaning of a noun word.
SubClassOf
AllValuesFrom
NounSynset
OnProperty
inSynset
OnProperty
inSynset
SomeValuesFrom
NounSynset
Cardinality
1
OnProperty
inSynset
WordSense

partHolonymOf

It specifies that the second synset is a part meronym of the first synset. This relation only holds for nouns.

Comment
en-USIt specifies that the second synset is a part meronym of the first synset. This relation only holds for nouns.
Domain
NounSynset
InverseOf
partMeronymOf
Range
NounSynset
SubPropertyOf
holonymOf
Domain
NounSynset
InverseOf
partHolonymOf
Range
NounSynset
SubPropertyOf
meronymOf

participle

participleOf

It specifies that the adjective first word is a participle of the verb second word.

Comment
en-USIt specifies that the adjective first word is a participle of the verb second word.
Domain
AdjectiveWordSense
InverseOf
participle
Range
VerbWordSense

positiveInteger

sameVerbGroupAs

It specifies verb synsets that are similar in meaning and should be grouped together when displayed in response to a grouped synset search.

Comment
en-USIt specifies verb synsets that are similar in meaning and should be grouped together when displayed in response to a grouped synset search.
Domain
VerbSynset
Range
VerbSynset

seeAlso

It specifies that additional information about the first word can be obtained by seeing the second word. This operator is only defined for verbs and adjectives. There is no symmetric relation (ie. it cannot be inferred that the additional information about the second word can be obtained from the first word).

Comment
en-USIt specifies that additional information about the first word can be obtained by seeing the second word. This operator is only defined for verbs and adjectives. There is no symmetric relation (ie. it cannot be inferred that the additional information about the second word can be obtained from the first word).
Domain

A36

UnionOf

A31

First
AdjectiveWordSense
Rest

A30

First
VerbWordSense
Rest
nil
Range

A28

UnionOf

A29

First
VerbWordSense
Rest

A13

First
AdjectiveWordSense
Rest
nil

sense

****A relation added here to link words and word senses explicitly (in the WordNet db, it is implicit in the synset record)****

Comment
en-US****A relation added here to link words and word senses explicitly (in the WordNet db, it is implicit in the synset record)****
Domain
Word
InverseOf
word
Range
WordSense

similarTo

It specifies that the second synset is similar in meaning to the first synset. This means that the second synset is a satellite of the first synset, which is the cluster head. This relation only holds for adjective synsets contained in adjective clusters.

Comment
en-USIt specifies that the second synset is similar in meaning to the first synset. This means that the second synset is a satellite of the first synset, which is the cluster head. This relation only holds for adjective synsets contained in adjective clusters.
Domain
AdjectiveSynset
Range
AdjectiveSynset

substanceHolonymOf

It specifies that the second synset is a substance meronym of the first synset. This relation only holds for nouns.

Comment
en-USIt specifies that the second synset is a substance meronym of the first synset. This relation only holds for nouns.
Domain
NounSynset
InverseOf
substanceMeronymOf
Range
NounSynset
SubPropertyOf
holonymOf
Domain
NounSynset
InverseOf
substanceHolonymOf
Range
NounSynset
SubPropertyOf
meronymOf

Synset

A synonym set; a set of words that are interchangeable in some context. ****************************** Word and WordSenses are distinguished in this datamodel for two reasons: 1) WordNet uses the distinction in the database, and several relations are defined for WordSenses rather than for Synsets. 2) For the sake of ontological clarity, here it is assumed that Synsets include word senses, in order to partition the logical space of the lexicon (words as forms, which belong to different natural language lexica, words as meanings, which also can be peculiar to different natural languages, but usually exist in several of them, and synsets, which cluster word senses by abstracting out their distributional context. ******************************

Comment
en-USA synonym set; a set of words that are interchangeable in some context. ****************************** Word and WordSenses are distinguished in this datamodel for two reasons: 1) WordNet uses the distinction in the database, and several relations are defined for WordSenses rather than for Synsets. 2) For the sake of ontological clarity, here it is assumed that Synsets include word senses, in order to partition the logical space of the lexicon (words as forms, which belong to different natural language lexica, words as meanings, which also can be peculiar to different natural languages, but usually exist in several of them, and synsets, which cluster word senses by abstracting out their distributional context. ******************************
DisjointWith
Word
WordSense
SubClassOf
OnProperty
containsWordSense
SomeValuesFrom
WordSense
Thing

synsetId

A datatype relation between synsets and their integer identifiers.

Comment
en-USA datatype relation between synsets and their integer identifiers.
Domain
Synset
Range
nonNegativeInteger

tagCount

A datatype relation between word senses and their tags within synsets.

Comment
en-USA datatype relation between word senses and their tags within synsets.
Domain
WordSense
Range
nonNegativeInteger

Thing

VerbSynset

A synset including verb word senses.

Comment
en-USA synset including verb word senses.
SubClassOf
OnProperty
containsWordSense
SomeValuesFrom
VerbWordSense
AllValuesFrom
VerbWordSense
OnProperty
containsWordSense
Synset

VerbWordSense

A meaning of a verb word.

Comment
en-USA meaning of a verb word.
SubClassOf
Cardinality
1
OnProperty
inSynset
OnProperty
inSynset
SomeValuesFrom
VerbSynset
AllValuesFrom
VerbSynset
OnProperty
inSynset
WordSense

Word

Any word or composed term (collocation) deputed to have a sense in WordNet. ****For the sake of ontological clarity, here it is assumed that synsets include word senses, in order to partition the logical space of the lexicon (words as forms, which belong to different natural language lexica, words as meanings, which also can be peculiar to different natural languages, but usually exist in several of them, and synsets, which cluster word senses by abstracting out their distributional context.****

Comment
en-USAny word or composed term (collocation) deputed to have a sense in WordNet. ****For the sake of ontological clarity, here it is assumed that synsets include word senses, in order to partition the logical space of the lexicon (words as forms, which belong to different natural language lexica, words as meanings, which also can be peculiar to different natural languages, but usually exist in several of them, and synsets, which cluster word senses by abstracting out their distributional context.****
DisjointWith
WordSense
SubClassOf
OnProperty
sense
SomeValuesFrom
WordSense

word

****A relation added here to link word senses and words explicitly (in the WordNet db, it is implicit in the synset record)****

Comment
en-US****A relation added here to link word senses and words explicitly (in the WordNet db, it is implicit in the synset record)****
Domain
WordSense
InverseOf
sense
Range
Word

WordSense

A meaning of a word in WordNet. Each sense of a word is in a different synset. Each word sense is contained in exactly one synset. ****************************** Word and WordSenses are distinguished in this datamodel for two reasons: 1) WordNet uses the distinction in the database, and several relations are defined for WordSenses rather than for Synsets. 2) For the sake of ontological clarity, here it is assumed that synsets include word senses, in order to partition the logical space of the lexicon (words as forms, which belong to different natural language lexica, words as meanings, which also can be peculiar to different natural languages, but usually exist in several of them, and synsets, which cluster word senses by abstracting out their distributional context. ******************************

Comment
en-USA meaning of a word in WordNet. Each sense of a word is in a different synset. Each word sense is contained in exactly one synset. ****************************** Word and WordSenses are distinguished in this datamodel for two reasons: 1) WordNet uses the distinction in the database, and several relations are defined for WordSenses rather than for Synsets. 2) For the sake of ontological clarity, here it is assumed that synsets include word senses, in order to partition the logical space of the lexicon (words as forms, which belong to different natural language lexica, words as meanings, which also can be peculiar to different natural languages, but usually exist in several of them, and synsets, which cluster word senses by abstracting out their distributional context. ******************************
SubClassOf
AllValuesFrom
Word
OnProperty
word
OnProperty
word
SomeValuesFrom
Word
Cardinality
1
OnProperty
inSynset