General
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Ontologically Committed
Ontological -
Commitment Level
Low -
Subject
Natural Language -
Categorical
Yes
Vertical
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Parent-arity Type Instance
Unconstrained -
Transitivity
Not yet assessed -
Boundedness Type Instance - Downward
Not yet assessed -
Boundedness Type Instance - Fixed Finite Levels
Not yet assessed -
Boundedness Type Instance - Number of Fixed Levels
Not yet assessed -
Stratification Type Instance
Not yet assessed -
Formal Generation - Whole Part - Fusion
Not yet assessed -
Formal Generation - Whole Part - Complement
Not yet assessed -
Formal Generation - Type Instance - Fusion
Not yet assessed -
Formal Generation - Super Sub Type - Fusion
Not yet assessed -
Formal Generation - Super Sub Type - Complement
Not yet assessed -
Relation Class-ness Type Instance
Not yet assessed -
Relation Class-ness Super Sub Type
Not yet assessed
Horizontal
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Spacetime
Not yet assessed -
Locations
Not yet assessed -
Properties
Not yet assessed -
Endurants
Not yet assessed -
Immaterial
Not yet assessed
Universal
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Merelogy
No -
Interpenetration
Not yet assessed -
Materialism
Not yet assessed -
Possibilia
Not yet assessed -
Criteria Of Identity
Not yet assessed -
Time
Not yet assessed -
Indexicals: Here And Now
Not yet assessed -
Higher-arity
Not yet assessed
BabelNet
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Overview
BabelNet is a semantic network akin to Wordnet. It includes some relations between concepts (synsets) that seem to be derived from several places, esp. Wikipedia/Wikidata. It is highly multilingual.
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Top-level
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Key characteristics
A sophisticated lexical ontology is used for the backbone lexical information.
SKOS is used for the conceptual information.
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Relevant extracts
BabelNet is an innovative multilingual encyclopedic dictionary, with wide lexicographic and encyclopedic coverage of terms, and a semantic network/ontology which connects concepts and named entities in a very large network of semantic relations, made up of about 20 million entries. Conceived within the Sapienza NLP Group, engineered and maintained by Babelscape, BabelNet follows the WordNet model based on the notion of synset (for synonym set), but extends it to contain multilingual lexicalizations. Each BabelNet synset represents a given meaning and contains all the synonyms which express that meaning in a range of different languages.
BabelNet encodes knowledge as a labeled directed graph G = (V , E) where V is the set of nodes – i.e., concepts such as play and named entities such as Shakespeare – and E ⊆ V × R × V is the set of edges connecting pairs of concepts (e.g., play is-a dramatic composition). Each edge is labeled with a semantic relation from R, i.e., {is-a, part-of,..., }, where denotes an unspecified semantic relation. Importantly, each node v ∈ V contains a set of lexicalizations of the concept for different languages, e.g., {playen, Theaterstückde, drammait, obraes, ... , pièce de théâtrefr}. We call such multilingually lexicalized concepts Babel synsets. Concepts and relations in BabelNet are harvested from the largest available semantic lexicon of English, WordNet, and a wide-coverage collaboratively-edited encyclopedia, Wikipedia (introduced in Section 2). (Navigli and Ponzetto, 2012)
R. Navigli and S. Ponzetto. BabelNet: The Automatic Construction, Evaluation and Application of a Wide-Coverage Multilingual Semantic Network. Artificial Intelligence, 193, Elsevier, 2012, pp. 217-250
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