Knowledge Driven Intelligent Survey Systems for Linguists

Ricardo Soares, Elspeth Claire Edelstein, Jeff Z Pan, Adam Wyner

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

2 Citations (Scopus)
16 Downloads (Pure)


In this paper, we propose Knowledge Graph (KG), an articulated underlying semantic structure, to be a semantic bridge between human and systems. To illustrate our proposal, we focus on KG based intelligent survey systems. In state of the art systems, knowledge is hard-coded or implicit in these systems, making it hard for researchers to reuse, customise, link, or transmit the structured knowledge. Furthermore, such systems do not facilitate dynamic interaction based on the semantic structure. We design and implement a knowledge-driven intelligent survey system which is based on knowledge graph, a widely used technology that facilitates sharing and querying hypotheses, survey content, results, and analyses. The approach is developed, implemented, and tested in the field of Linguistics. Syntacticians and morphologists develop theories of grammar of natural languages. To evaluate theories, they seek intuitive grammaticality (well-formedness) judgments from native speakers, which either support a theory or provide counter-evidence. Our preliminary experiments show that a knowledge graph based linguistic survey can provide more nuanced results than traditional document-based grammaticality judgment surveys by allowing for tagging and manipulation of specific linguistic variables.
Original languageEnglish
Title of host publicationSemantic Technology
EditorsR Ichise , F Lecue , T Kawamura , D Zhao , S Muggleton , K Kozaki
Number of pages16
ISBN (Electronic)978-3-030-04284-4
ISBN (Print)978-3-030-04283-7
Publication statusPublished - 2018
Event Joint International Semantic Technology Conference 2018 - Awaji City, Hyogo, Japan
Duration: 26 Nov 201828 Nov 2018
Conference number: 8

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conference Joint International Semantic Technology Conference 2018
Abbreviated titleJIST 2018
CityAwaji City, Hyogo
Internet address

Bibliographical note

This work was supported the EU Marie Curie K-Drive project (286348).


  • Knowledge graph
  • Intelligent survey system
  • Grammaticality judgments


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