Framester: A wide coverage linguistic linked data hub

  • Aldo Gangemi
  • , Mehwish Alam
  • , Luigi Asprino
  • , Valentina Presutti
  • , Diego Reforgiato Recupero

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

Abstract

Semantic web applications leveraging NLP can benefit from easy access to expressive lexical resources such as FrameNet. However, the usefulness of FrameNet is affected by its limited coverage and nonstandard semantics. The access to existing linguistic resources is also limited because of poor connectivity among them. We present some strategies based on Linguistic Linked Data to broaden FrameNet coverage and formal linkage of lexical and factual resources. We created a novel resource, Framester, which acts as a hub between FrameNet, Word- Net, VerbNet, BabelNet, DBpedia, Yago, DOLCE-Zero, as well as other resources. Framester is not only a strongly connected knowledge graph, but also applies a rigorous formal treatment for Fillmore’s frame semantics, enabling full-fledged OWL querying and reasoning on a large framebased knowledge graph. We also describe Word Frame Disambiguation, an application that reuses Framester data as a base in order to perform frame detection from text, with results comparable in precision to the state of the art, but with a much higher coverage.

Original languageEnglish
Title of host publicationKnowledge Engineering and Knowledge Management - 20th International Conference, EKAW 2016, Proceedings
EditorsEva Blomqvist, Paolo Ciancarini, Francesco Poggi, Fabio Vitali
PublisherSpringer Verlag
Pages239-254
Number of pages16
ISBN (Print)9783319490038
DOIs
Publication statusPublished - 1 Jan 2016
Externally publishedYes
Event20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Revised Selected Paper - Bologna, Italy
Duration: 19 Nov 201623 Nov 2016

Publication series

NameLecture Notes in Computer Science
Volume10024 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Revised Selected Paper
Country/TerritoryItaly
CityBologna
Period19/11/1623/11/16

Keywords

  • Frame detection
  • Frame semantics
  • FrameNet
  • Framenet coverage
  • Framester
  • Knowledge graphs
  • Linguistic linked data

Fingerprint

Dive into the research topics of 'Framester: A wide coverage linguistic linked data hub'. Together they form a unique fingerprint.

Cite this