John McCrae Cognitive Interaction Technology Excellence Center - - PowerPoint PPT Presentation

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John McCrae Cognitive Interaction Technology Excellence Center - - PowerPoint PPT Presentation

Jan 18, 2024 373 likes •518 views

The need for Lexicalization of Linked Data John McCrae Cognitive Interaction Technology Excellence Center Universitt Bielefeld Linked Data Linked data is growing rapidly... but mostly it looks like this: Linked Data We

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The need for Lexicalization

  • f Linked Data

John McCrae

Cognitive Interaction Technology Excellence Center – Universität Bielefeld

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Linked Data

  • Linked data is growing rapidly...
  • … but mostly it looks like this:
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  • We need:

– Natural Language Generation/Interface

  • Description in text

– Question Answering

  • Mapping natural language description to (SPARQL) queries

– Machine Translation

  • Adapting linked data vocabularies to new languages

Linked Data

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4

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5

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  • Linguistic description of linked data terms by

rdfs:label

  • Usage statistics:

Labels

61.80% 5.50% 30.50% 1.50% 0.70% Unlabelled Non-standard property No language English only Multilingual

Source: Ell, B., Vrandecic, D. & Simperl, E. Labels in the Web of Data. In Proc. of ISWC-2011.

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  • Simple labels are very ambiguous, e.g.,

– “addresses” (from openEHR Demographic )

  • The “addresses” of an organization?
  • Someone “addresses” an audience?
  • A set of web “addresses”??
  • Use URIs for labels not/as well as strings!

Labels are not enough!

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Linguistic Linked Data

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  • Common format for describing lexical information relative

to 'ontologies' (OWL, RDF(S))

  • Built on existing models

– Lexical Markup Framework (ISO 24613) – SKOS

  • Design:

– Modular – Concise – RDF-native – Not prescriptive

Lexicon model for ontologies

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Lexicon model for ontologies

  • Allows full linguistic

description

  • Further development

under W3C OntoLex community group

  • Described in

cookbook

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  • People will not create a lemon model for each vocabularies
  • Instead refer to repositories on lemon data

– Such as lemon source

  • Before lemon

– openehr:addresses rdfs:label

“Addresses”@en

  • With lemon

– openehr:addresses lemon:lexicalization

lemonsource:address__noun__sense1__en

  • Full linguistic description available by dereferencing URI

Using Lemon

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  • Ontolex Community group

– http://www.w3.org/community/ontolex

  • Lemon cookbook

– http://lexinfo.net/lemon-cookbook.pdf

  • Monnet project

– http://www.monnet-project.eu/

Thank you!