Quality Checking and Matching Linked Dictionary Data

Kun Ji, Shanshan Wang, Lauri Henrik Carlson

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


The growth of web accessible dictionary and term data has led to a proliferation
of platforms distributing the same lexical resources in different combinations
and packagings. Finding the right word or translation is like finding a needle in
a haystack. The quantity of the data is undercut by the redundancy and doubtful quality of the resources. In this paper, we develop ways to assess the quality of multilingual lexical web and linked data resources by internal consistency. Concretely, we deconstruct Princeton WordNet [1] to its component word senses or word labels, with the properties they have or inherit from their synsets, and see to what extent these properties allow reconstructing the synsets they came from. The methods developed should then be applicable to aggregation of term data coming from different term sources - to find which entries coming from different sources could be similarly pooled together, to cut redundancy and improve coverage and reliability. The multilingual dictionary BabelNet [2] can be used for evaluation. We restrain our current research to dictionary data and improving language models rather than introducing external sources.
Original languageEnglish
Title of host publication15th International Semantic Web Conference (ISWC 2016) : the 11th International Workshop on Ontology Matching
EditorsPavel Shvaiko, Jérôme Euzenat, Ernesto Jiménez-Ruiz, Michelle Cheatham, Oktie Hassanzadeh, Ryutaro Ichise
Number of pages2
Publication date22 Oct 2016
Publication statusPublished - 22 Oct 2016
MoE publication typeA4 Article in conference proceedings
EventInternational Semantic Web Conference - Kobe, Japan
Duration: 17 Oct 201621 Oct 2016
Conference number: 15

Publication series

NameCEUR workshop proceedings
ISSN (Electronic)1613-0073

Fields of Science

  • 113 Computer and information sciences
  • Information extraction
  • Linked data
  • Edit distance
  • 6160 Other humanities
  • Quality checking
  • Terminology
  • Aggregation

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