Ontology Based Graphical Query Language Supporting Recursion Author(s): Arun Anand Sadanandan, Kow Weng Onn and Dickson Lukose Keywords: Visual Query Languages, Visual Query Systems, Visual Semantic Query, Graphical Recursion, Semantic Web, Ontologies
Abstract:
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.
From the abstract I was expecting visual representation of the subjects that form the query. The interface remains abstract but is a good step in the direction of a more useful query interface for the non-expert. (Which we all are in some domain.)
Questions:
- Compare to your experience with query language interfaces. (3-5 pages, no citations)
- Are recursive queries important for library catalogs? (3-5 pages, no citations, but use examples to make your case, pro or con)
- Suggestions for a visual query language for the current TMQL draft? (research project)
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