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BabelNet


General

  • Ontologically Committed

    Ontological
  • Commitment Level

    Low
  • Subject

    Natural Language
  • Categorical

    Yes

Vertical

  • 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

  • Spacetime

    Not yet assessed
  • Locations

    Not yet assessed
  • Properties

    Not yet assessed
  • Endurants

    Not yet assessed
  • Immaterial

    Not yet assessed

Universal

  • 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 

  1. 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. 

  1. Top-level 

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  1. Key characteristics 

A sophisticated lexical ontology is used for the backbone lexical information.  

SKOS is used for the conceptual information.  

  1. 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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