@inproceedings{helmich_visualizing_2014,
	series = {Lecture {Notes} in {Computer} {Science}},
	title = {Visualizing {RDF} {Data} {Cubes} {Using} the {Linked} {Data} {Visualization} {Model}},
	isbn = {978-3-319-11954-0 978-3-319-11955-7},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-11955-7_50},
	doi = {10.1007/978-3-319-11955-7_50},
	abstract = {Data Cube represents one of the basic means for storing, processing and analyzing statistical data. Recently, the RDF Data Cube Vocabulary became a W3C recommendation and at the same time interesting datasets using it started to appear. Along with them appeared the need for compatible visualization tools. The Linked Data Visualisation Model is a formalism focused on this area and is implemented by Payola, a framework for analysis and visualization of Linked Data. In this paper, we present capabilities of LDVM and Payola to visualize RDF Data Cubes as well as other statistical datasets not yet compatible with the Data Cube Vocabulary. We also compare our approach to CubeViz, which is a visualization tool specialized on RDF Data Cube visualizations.},
	language = {en},
	urldate = {2018-05-11TZ},
	booktitle = {The {Semantic} {Web}: {ESWC} 2014 {Satellite} {Events}},
	publisher = {Springer, Cham},
	author = {Helmich, Jiří and Klímek, Jakub and Nečaský, Martin},
	month = may,
	year = {2014},
	note = {00021},
	pages = {368--373}
}

{"_id":"zxAT2y9PQQmWc7yPK","bibbaseid":"helmich-klmek-neask-visualizingrdfdatacubesusingthelinkeddatavisualizationmodel-2014","downloads":0,"creationDate":"2018-05-16T15:04:02.593Z","title":"Visualizing RDF Data Cubes Using the Linked Data Visualization Model","author_short":["Helmich, J.","Klímek, J.","Nečaský, M."],"year":2014,"bibtype":"inproceedings","biburl":"https://api.zotero.org/users/4282079/collections/QVXPDHMF/items?key=U62aeImfuN78X1koIwEbW1J0&format=bibtex&limit=100","bibdata":{"bibtype":"inproceedings","type":"inproceedings","series":"Lecture Notes in Computer Science","title":"Visualizing RDF Data Cubes Using the Linked Data Visualization Model","isbn":"978-3-319-11954-0 978-3-319-11955-7","url":"https://link.springer.com/chapter/10.1007/978-3-319-11955-7_50","doi":"10.1007/978-3-319-11955-7_50","abstract":"Data Cube represents one of the basic means for storing, processing and analyzing statistical data. Recently, the RDF Data Cube Vocabulary became a W3C recommendation and at the same time interesting datasets using it started to appear. Along with them appeared the need for compatible visualization tools. The Linked Data Visualisation Model is a formalism focused on this area and is implemented by Payola, a framework for analysis and visualization of Linked Data. In this paper, we present capabilities of LDVM and Payola to visualize RDF Data Cubes as well as other statistical datasets not yet compatible with the Data Cube Vocabulary. We also compare our approach to CubeViz, which is a visualization tool specialized on RDF Data Cube visualizations.","language":"en","urldate":"2018-05-11TZ","booktitle":"The Semantic Web: ESWC 2014 Satellite Events","publisher":"Springer, Cham","author":[{"propositions":[],"lastnames":["Helmich"],"firstnames":["Jiří"],"suffixes":[]},{"propositions":[],"lastnames":["Klímek"],"firstnames":["Jakub"],"suffixes":[]},{"propositions":[],"lastnames":["Nečaský"],"firstnames":["Martin"],"suffixes":[]}],"month":"May","year":"2014","note":"00021","pages":"368--373","bibtex":"@inproceedings{helmich_visualizing_2014,\n\tseries = {Lecture {Notes} in {Computer} {Science}},\n\ttitle = {Visualizing {RDF} {Data} {Cubes} {Using} the {Linked} {Data} {Visualization} {Model}},\n\tisbn = {978-3-319-11954-0 978-3-319-11955-7},\n\turl = {https://link.springer.com/chapter/10.1007/978-3-319-11955-7_50},\n\tdoi = {10.1007/978-3-319-11955-7_50},\n\tabstract = {Data Cube represents one of the basic means for storing, processing and analyzing statistical data. Recently, the RDF Data Cube Vocabulary became a W3C recommendation and at the same time interesting datasets using it started to appear. Along with them appeared the need for compatible visualization tools. The Linked Data Visualisation Model is a formalism focused on this area and is implemented by Payola, a framework for analysis and visualization of Linked Data. In this paper, we present capabilities of LDVM and Payola to visualize RDF Data Cubes as well as other statistical datasets not yet compatible with the Data Cube Vocabulary. We also compare our approach to CubeViz, which is a visualization tool specialized on RDF Data Cube visualizations.},\n\tlanguage = {en},\n\turldate = {2018-05-11TZ},\n\tbooktitle = {The {Semantic} {Web}: {ESWC} 2014 {Satellite} {Events}},\n\tpublisher = {Springer, Cham},\n\tauthor = {Helmich, Jiří and Klímek, Jakub and Nečaský, Martin},\n\tmonth = may,\n\tyear = {2014},\n\tnote = {00021},\n\tpages = {368--373}\n}\n\n","author_short":["Helmich, J.","Klímek, J.","Nečaský, M."],"key":"helmich_visualizing_2014","id":"helmich_visualizing_2014","bibbaseid":"helmich-klmek-neask-visualizingrdfdatacubesusingthelinkeddatavisualizationmodel-2014","role":"author","urls":{"Paper":"https://link.springer.com/chapter/10.1007/978-3-319-11955-7_50"},"downloads":0},"search_terms":["visualizing","rdf","data","cubes","using","linked","data","visualization","model","helmich","klímek","nečaský"],"keywords":[],"authorIDs":[],"dataSources":["N3CMPD4uLFHe2aopm"]}