@inproceedings{DBLP:conf/www/MartinASNSA15,
title = {CubeViz: Exploration and Visualization of Statistical Linked Data},
author = {Michael Martin and 
Konrad Abicht and 
Claus Stadler and 
Axel-Cyrille Ngonga Ngomo and 
Tommaso Soru and 
Sören Auer},
url = {http://svn.aksw.org/papers/2015/WWW_Demo_CubeViz/public.pdf},
doi = {10.1145/2740908.2742848},
year  = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 24th International Conference on World Wide Web 
Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion 
Volume},
pages = {219--222},
publisher = {ACM},
abstract = {CubeViz is a flexible exploration and visualization platform for statistical data represented adhering to the RDF Data Cube vocabulary. If statistical data is provided adhering to the Data Cube vocabulary, CubeViz exhibits a faceted browsing widget allowing to interactively filter observations to be visualized in charts. Based on the selected structural part, CubeViz offers suitable chart types and options for configuring the visualization by users. In this demo we present the CubeViz visualization architecture and components, sketch its underlying API and the libraries used to generate the desired output. By employing advanced introspection, analysis and visualization bootstrapping techniques CubeViz hides the schema complexity of the encoded data in order to support a user-friendly exploration experience.},
keywords = {20-7514, 2015, abicht, cubeviz, es, geoknow, group_aksw, martin, ontowiki, stadler, sys:relevantFor:bis, sys:relevantFor:geoknow, sys:relevantFor:infai, topic_Exploration},
pubstate = {published},
tppubtype = {inproceedings}
}

{"_id":"KQDToPEqECRPQaC2z","bibbaseid":"martin-abicht-stadler-ngomo-soru-auer-cubevizexplorationandvisualizationofstatisticallinkeddata-2015","downloads":0,"creationDate":"2017-01-29T00:28:02.934Z","title":"CubeViz: Exploration and Visualization of Statistical Linked Data","author_short":["Martin, M.","Abicht, K.","Stadler, C.","Ngomo, A. N.","Soru, T.","Auer, S."],"year":2015,"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/SmartDataAnalytics/SDA-Publications/master/sda.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","title":"CubeViz: Exploration and Visualization of Statistical Linked Data","author":[{"firstnames":["Michael"],"propositions":[],"lastnames":["Martin"],"suffixes":[]},{"firstnames":["Konrad"],"propositions":[],"lastnames":["Abicht"],"suffixes":[]},{"firstnames":["Claus"],"propositions":[],"lastnames":["Stadler"],"suffixes":[]},{"firstnames":["Axel-Cyrille","Ngonga"],"propositions":[],"lastnames":["Ngomo"],"suffixes":[]},{"firstnames":["Tommaso"],"propositions":[],"lastnames":["Soru"],"suffixes":[]},{"firstnames":["Sören"],"propositions":[],"lastnames":["Auer"],"suffixes":[]}],"url":"http://svn.aksw.org/papers/2015/WWW_Demo_CubeViz/public.pdf","doi":"10.1145/2740908.2742848","year":"2015","date":"2015-01-01","booktitle":"Proceedings of the 24th International Conference on World Wide Web Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion Volume","pages":"219–222","publisher":"ACM","abstract":"CubeViz is a flexible exploration and visualization platform for statistical data represented adhering to the RDF Data Cube vocabulary. If statistical data is provided adhering to the Data Cube vocabulary, CubeViz exhibits a faceted browsing widget allowing to interactively filter observations to be visualized in charts. Based on the selected structural part, CubeViz offers suitable chart types and options for configuring the visualization by users. In this demo we present the CubeViz visualization architecture and components, sketch its underlying API and the libraries used to generate the desired output. By employing advanced introspection, analysis and visualization bootstrapping techniques CubeViz hides the schema complexity of the encoded data in order to support a user-friendly exploration experience.","keywords":"20-7514, 2015, abicht, cubeviz, es, geoknow, group_aksw, martin, ontowiki, stadler, sys:relevantFor:bis, sys:relevantFor:geoknow, sys:relevantFor:infai, topic_Exploration","pubstate":"published","tppubtype":"inproceedings","bibtex":"@inproceedings{DBLP:conf/www/MartinASNSA15,\r\ntitle = {CubeViz: Exploration and Visualization of Statistical Linked Data},\r\nauthor = {Michael Martin and \r\nKonrad Abicht and \r\nClaus Stadler and \r\nAxel-Cyrille Ngonga Ngomo and \r\nTommaso Soru and \r\nSören Auer},\r\nurl = {http://svn.aksw.org/papers/2015/WWW_Demo_CubeViz/public.pdf},\r\ndoi = {10.1145/2740908.2742848},\r\nyear = {2015},\r\ndate = {2015-01-01},\r\nbooktitle = {Proceedings of the 24th International Conference on World Wide Web \r\nCompanion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion \r\nVolume},\r\npages = {219--222},\r\npublisher = {ACM},\r\nabstract = {CubeViz is a flexible exploration and visualization platform for statistical data represented adhering to the RDF Data Cube vocabulary. If statistical data is provided adhering to the Data Cube vocabulary, CubeViz exhibits a faceted browsing widget allowing to interactively filter observations to be visualized in charts. Based on the selected structural part, CubeViz offers suitable chart types and options for configuring the visualization by users. In this demo we present the CubeViz visualization architecture and components, sketch its underlying API and the libraries used to generate the desired output. By employing advanced introspection, analysis and visualization bootstrapping techniques CubeViz hides the schema complexity of the encoded data in order to support a user-friendly exploration experience.},\r\nkeywords = {20-7514, 2015, abicht, cubeviz, es, geoknow, group_aksw, martin, ontowiki, stadler, sys:relevantFor:bis, sys:relevantFor:geoknow, sys:relevantFor:infai, topic_Exploration},\r\npubstate = {published},\r\ntppubtype = {inproceedings}\r\n}\r\n","author_short":["Martin, M.","Abicht, K.","Stadler, C.","Ngomo, A. N.","Soru, T.","Auer, S."],"key":"DBLP:conf/www/MartinASNSA15","id":"DBLP:conf/www/MartinASNSA15","bibbaseid":"martin-abicht-stadler-ngomo-soru-auer-cubevizexplorationandvisualizationofstatisticallinkeddata-2015","role":"author","urls":{"Paper":"http://svn.aksw.org/papers/2015/WWW_Demo_CubeViz/public.pdf"},"keyword":["20-7514","2015","abicht","cubeviz","es","geoknow","group_aksw","martin","ontowiki","stadler","sys:relevantFor:bis","sys:relevantFor:geoknow","sys:relevantFor:infai","topic_Exploration"],"metadata":{"authorlinks":{"stadler, c":"https://sda.tech/people/claus-stadler/"}},"html":""},"search_terms":["cubeviz","exploration","visualization","statistical","linked","data","martin","abicht","stadler","ngomo","soru","auer"],"keywords":["20-7514","2015","abicht","cubeviz","es","geoknow","group_aksw","martin","ontowiki","stadler","sys:relevantfor:bis","sys:relevantfor:geoknow","sys:relevantfor:infai","topic_exploration"],"authorIDs":["dL8jHBAvpwQhEeDt5"],"dataSources":["Smh7N7pGmghKvpo5R","utoK22vdACuMZhGfE"]}