Treo: Best-effort natural language queries over linked data

  • André Freitas
  • , João Gabriel Oliveira
  • , Seán O'Riain
  • , Edward Curry
  • , João Carlos Pereira Da Silva

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

8 Citations (Scopus)

Abstract

Linked Data promises an unprecedented availability of data on the Web. However, this vision comes together with the associated challenges of querying highly heterogeneous and distributed data. In order to query Linked Data on the Web today, end-users need to be aware of which datasets potentially contain the data and the data model behind these datasets. This query paradigm, deeply attached to the traditional perspective of structured queries over databases, does not suit the heterogeneity and scale of the Web, where it is impractical for data consumers to have an a priori understanding of the structure and location of available datasets. This work describes Treo, a best-effort natural language query mechanism for Linked Data, which focuses on the problem of bridging the semantic gap between end-user natural language queries and Linked Datasets.

Original languageEnglish
Title of host publicationNatural Language Processing and Information Systems - 16th International Conference on Applications of Natural Language to Information Systems, NLDB 2011, Proceedings
Pages286-289
Number of pages4
DOIs
Publication statusPublished - 2011
Event16th International Conference on Applications of Natural Language to Information Systems, NLDB 2011 - Alicante, Spain
Duration: 28 Jun 201130 Jun 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6716 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Applications of Natural Language to Information Systems, NLDB 2011
Country/TerritorySpain
CityAlicante
Period28/06/1130/06/11

Keywords

  • Linked Data
  • Natural Language Queries

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