Ontology based graphical query language supporting recursion

Arun Anand Sadanandan, Kow Weng Onn, Dickson Lukose

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

5 Citations (Scopus)


Text based queries often lead tend to be complex, and may result in non user friendly query structures. However, querying information systems using visual means, even for complex queries has proven to be more efficient and effective as compared to text based queries. This is owing to the fact that visual systems make way for better human-computer communication. This paper introduces an improved query system using a Visual Query Language. The system allows the users to construct query graphs by interacting with the ontology in a user friendly manner. The main purpose of the system is to enable efficient querying on ontologies even by novice users who do not have an in-depth knowledge of internal query structures. The system also supports graphical recursive queries and methods to interpret recursive programs from these visual query graphs. Additionally, we have performed some preliminary usability experiments to test the efficiency and effectiveness of the system.

Original languageEnglish
Title of host publicationKnowledge-Based and Intelligent Information and Engineering Systems - 14th International Conference, KES 2010, Proceedings
EditorsRossitza Setchi, Ivan Jordanov, Robert J. Howlett, Lakhmi C. Jain
Place of PublicationBerlin Germany
Number of pages12
EditionPart I
ISBN (Print)3642153860, 9783642153860
Publication statusPublished - 2010
Externally publishedYes
EventInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2010 - Cardiff, United Kingdom
Duration: 8 Sep 201010 Sep 2010
Conference number: 14th
https://link.springer.com/book/10.1007/978-3-642-15387-7 (Proceedings)

Publication series

NameLecture Notes in Artificial Intelligence
NumberPART 1
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Knowledge-Based and Intelligent Information and Engineering Systems 2010
Abbreviated titleKES 2010
Country/TerritoryUnited Kingdom
Internet address


  • Graphical Recursion
  • Ontologies
  • Semantic Web
  • Visual Query Languages
  • Visual Query Systems
  • Visual Semantic Query

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