Advanced Insights into Data Ontology Storage and Visualization
Explore the development of a comprehensive tool for graphical query languages, usability testing, and transformation of RDB data to RDF data, leading to the creation of an ontology-based information system. Discover the impact of user tutorials on query readability, with valuable results from medical data querying experiments.
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Presentation Transcript
Data as Ontology Storage, Visualization, Query Martins Zviedris supervisor: prof. Guntis Barzdins
AIM(1): DEFINE SYNTAX AND SEMANTICS OF A GRAPHICAL QUERY LANGUAGE
AIM(2): SHOW THAT END USERS CAN READ THE DEVELOPED GRAPHICAL QUERIES
Readability Errors without tutorial Errors with tutorial 7 8 7 6 Number of respondents Number of respondents 6 5 5 4 4 3 3 2 2 1 1 0 0 0 1 2 3 4 5 6 7 0 1 2 3 4 5 6 7 Number of errors Number of errors Total 18 queries. Average 2.16 errors in case with tutorial and 2.46 without tutorial. 26 participants in each case.
AIM(3): DEVELOP A TOOL TO INPUT GRAPHICAL QUERIES
ViziQuer Available online
AIM(4): TEST THE GRAPHICAL QUERY LANGUAGE USABILITY IN PRACTICE RESULT(-): EXPERIMENTAL USE IN MEDICAL DATA QUERYING; RECORDED OVER 200 TOOL DOWNLOADS
Medical project Transformed RDB data to RDF data Tested ViziQuer
Ontology Based Information System (OBIS) Easy to configure Easy to use Lightweight
Ontology repository Schema extraction from existing endpoints Ontology repository for new OBIS based system creation
Related work Query-by-Example backbone of visual query languages Tabulator explore RDF data gFacet table based RDF data query Unique feature navigate over schema data in RDF data
Conclusions Common users do not understand math and technical terms; Language must be explicit and preferably self commented! ViziQuer lite incorporates query methodology
PUBLICATIONS Total 8 publications, of which 6 indexed by SCOPUS
Notable publications M.Zviedris, G.Barzdins, ViziQuer: A Tool to Explore and Query SPARQL Endpoints , The Semantic Web: Research and Applications, LNCS, 2011, Volume 6644/2011, pp. 441-445 (SCOPUS) (Author contribution 90%) (10 citations outside LV) M.Zviedris, R.Liepins, Readability of diagrammatic query language , IEEE Symposium on Visual Languages and Human-Centric Computing 2014, IEEE, 2014, pp.227-228 (SCOPUS) (Author contribution 90%)
Other Publications G.Barzdins, E.Liepins, M.Veilande, M.Zviedris, "Ontology Enabled Graphical Database Query Tool for End-Users", Selected papers from DB&IS'2008, Hele-Mai Haav (Eds.), Frontiesrs in Artificial Intelligence and Applicatons series, IOS Press, 2009. 187:105 116 (SCOPUS) (Author contribution 40%) G.Barzdins, S.Rikacovs, M.Veilande, M.Zviedris, Ontological Re-Engeneering of Medical Databases , Proceedings of the Latvian Academy of Sciences, Section B, Vol. 63 (2009), No. 4/5 (663/664), pp. 153 155 (SCOPUS) (Author contribution 40%) M.Zviedris. Ontology repository for User Interaction. In Mathieu d'Aquin, Alexander Garcia Castro, Christoph Lange, Kim Viljanen edititors, ORES-2010 Workshop on Ontology Repositories and Editiors for the Semantic Web, volume http://CEUR-WS.org/Vol-596/ .CEUR, 2010. (SCOPUS) (Author contribution 100%) M.Zviedris, A.Romane, G.Barzdins, K.Cerans, Ontology-Based Information System , Wooju K., Ying D. and Hong-gee K. (Eds.) The 3rd Joint International Semantic Technology Conference, Revised Selected Papers, LNCS, Volume 8388, pp. 33-47 (SCOPUS) (Author contribution 60%) G.Barzdins, E.Liepins, M.Veilande, M.Zviedris, Semantic Latvia Approach in the Medical Domain , Proceedings of the 8th International Baltic Conference (Baltic DB&IS 2008), June 2-5, Tallin, Estonia, Tallinn University of Technology Press, 89.-102. lpp. (Author contribution 40%) G.Barzdins, S.Rikacovs, M.Zviedris, Graphical Query Language as SPARQL Frontend , In Grundspenkis, J., Kirikova, M., Manolopoulos, Y., Morzy, T., Novickis, L., Vossen, G. (Eds.), Local Proceedings of 13th East-European Conference (ADBIS 2009), pp. 93 107. Riga Technical University, Riga. (2009) (Author contribution 80%) Total 8 publications, of which 6 indexed by SCOPUS
Answers to remarks by opponents Is it sufficient to ask users how well they understand the visual language? The ViziQuer tool was tested by local users and medical domain specialists and was improved based on received feedback. I agree that a more formal testing would be useful.
Answers to remarks by opponents Ar apgalvojums, ka OWL ir popul r k ontolo iju valoda ir iek auts bez atsauc m. Taj pat laik pla i tiek lietotas ar valoda KIF un citas. Varb t, ka lai b z tu p t jumu uz OWL, b tunepiecie amsanaliz tar citas valodu iesp jas? OWL is de facto standard of W3C. Also it has standard of the query language SPARQL. Majority of online semantic data is in OWL/RDF and is available via SPARQL endpoints. It is used as one of open data publishing formats. European Union open data portal provides data via OWL/RDF and SPARQL endpoint.
Answers to remarks by opponents Autors ar pamato vajadz bu ieviest papildus teksta veida apz m jumus grafiskajos elementos ( What are , Restrict that u.c.), lai uzlabotu las m bu, bet l dz ar to rodas jaut jums, vai nenotiek novirz an s no grafisk s valodas idejas, semantiku ietverot tekst , nevis grafiskajos elementos ? Usability tests showed that some constructs benefit from graphical representation, but others not.
