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FREyA : an Interactive Way of Querying Linked Data using Natural Language. Danica Damljanović, Milan Agatonović, Hamish Cunningham contact: danica@dcs.shef.ac.uk. Natural Language Interfaces and Linked Open Data. What are NLIs? Challenges: NL understanding/grammar

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freya an interactive way of querying linked data using natural language

FREyA:an Interactive Way of Querying LinkedData using Natural Language

Danica Damljanović, Milan Agatonović, Hamish Cunningham

contact: danica@dcs.shef.ac.uk

natural language interfaces and linked open data
Natural Language Interfaces and Linked Open Data
  • What are NLIs?
  • Challenges:
    • NL understanding/grammar
    • ambiguity/expressiveness
    • knowledge structure/portability
      • small ontologies, large ontologies, multiple ontologies, Linked Open Data?

QALD-1

shift in challenges
Shift in Challenges
  • Portability 5 years ago vs. today?
    • Heterogeneity, incompleteness, redundancy
  • Can one system support both?

QALD-1

finding pocs
Finding POCs

ESWC 2010

finding ocs
Finding OCs

ESWC 2010

mapping poc to ocs
Mapping POC to OCs

POC

POC

population

geo:State

geo:State

new york

geo:City

ESWC 2010

geo:cityPopulation

learning
Learning

IF

THEN

querying linked data with freya the usual cycle
Querying Linked Data with FREyA:the usual cycle

for i=1 to n {

Initialise the system using dataset Ai(forceDialog)

Train the system by asking questions

Save learningModeli

}

Intialise the system (automatic mode) by loading learningModeli, i=1,n

connect to the repository containing all Aidatasets, where i=1, n

QALD-1

evaluation
evaluation
  • Initialisation
  • System performance
    • Precision, recall, f-measure using MusicBrainz and DBPedia datasets
    • Mean Reciprocal Rank to assess the effect of learning mechanism
  • Analysis of failures

QALD-1

learning1
Learning

QALD-1

conclusion
Conclusion
  • Output:
    • Correct answer OR
    • Identifying the flaws in the data?
  • Ranking/disambiguation algorithms to improve MRR

QALD-1

thank you for your attention questions
thank you for your attention! questions?

Thanks to Ivan Peikov from Ontotext who helped with the configuration of OWLIM which was necessary for performing the experiments reported in this paper.

Contact: danica@dcs.shef.ac.uk

slide18
Demo

United States geography:

  • http://gate.ac.uk/sale/dd/movies/mooney/html/freya.html

MusicBrainz:

  • http://gate.ac.uk/sale/dd/movies/mb/html/musicbrainz.html
  • DBpedia:
  • http://gate.ac.uk/sale/dd/movies/dbpedia/html/small/freya.html