Tutorial on Visual Analytics with Linked Open Data and Social Media (VisLOD2015)
When: June 1, 2015
Where: Portoroz, Slovenia
Collocated with the 12th Extended Semantic Web Conference (ESWC2015)
Workshop URI: http://linkedscience.org/events/vislod2015/
What is VisLOD2015 tutorial about?
The increasing availability of essential information as Linked Open Data has empowered ordinary citizens and organisations with means to increase their understanding of their political, social, economic and cultural environment. Social Media, on the other hand, offer means to share experiences, connect with friends/relatives, keep updated with situations and understand the public perception of events, places or individuals. With the availability of large spatiotemporal datasets, a considerable challenge is how to quickly and efficiently consume such datasets.
Visual Analytics solutions offer a promising direction of research for consuming large semantic datasets and quickly identify hidden trends, patterns and anomalies, obtain overviews of large data spaces and promptly reach data points of interest. The goal of the tutorial is to bring together researchers and practitioners interested in visual and interactive techniques for exploring Social Media, Linked Open Data and Web Content.
The VisLOD tutorial will cover technical aspects from two perspectives: data collection and data analysis using Visualisation techniques. Data collection hand-on will include gathering i) Social Media content, ii) Linked Data and iii) performing Information Extraction on Web content.
The VisLOD tutorial is arranged at ESWC2015 to bring together researchers and practitioners interested in visual and interactive techniques for exploring Linked Open Data and Social Media. The hands-on tutorial will cover technical aspects from two perspectives: Social Media analysis and Visualisation of Social Media and Linked Data.
In summary, VisLOD tutorial addresses the following three impact areas
- Extracting relevant Information from Social Media, Linked Open Data and Web content and presenting technical know-how for developing spatiotemporally and thematically aware Visual Analytic Solutions for all extracted content
- Sharing lessons learned from implementing software solutions with existing
infrastructures and open source libraries - An explicit focus on HCI techniques — aesthetic design, contextual
inquiry, prototyping, storyboarding — for designing, developing and
implementing Semantic Web solutions
The material will also be made available on USB sticks on the day of the tutorial and are also available for download and browsing online.
Teachers
Dr. Suvodeep Mazumdar is a Research Associate in the OAK Group, and holds a PhD in Computer Science from the University of Sheffield (UK). His field of research concerns Human Computer Interaction and Information Visualisation for knowledge management in large organizations and the social web. He has an extensive experience in iterative user centred design and evaluation of information visualisation systems. He co-chaired tracks on Visual Analytics for Crisis Management and has run tutorials on Visual Analytics with Social Media for Crisis Management at ISCRAM2013 and ISCRAM2014. He was chair of the SMILE2013 and SMILE2014 (Social Media and Linked Data for Emergency Response) workshops, co-located with the Extended Semantic Web Conference in 2013 and 2014. He was also run a tutorial (with the same title) at ESWC2014. Twitter: ovus00.
Dr. Tomi Kauppinen is a docent and researcher at the Department of Computer Science at the Aalto University School of Science in Finland and privatdozent at the Institute for Geoinformatics at the University of Münster. His research focuses on information usability and sensemaking of heterogeneous spatiotemporal data via link discovery, spatial data mining and visualizations. He has co-chaired several workhops including VISUAL2014, SMILE2014, GIO2014, GIBDA2012 and workshops on Linked Science 2011-2014. He has given tutorials on visualizing and analyzing Linked Open Data at Spatial Cognition 2014, ESWC2014, ESWC2013, EKAW2012 and SWAT4LS conferences. His academic teaching record includes courses ranging from Linked Data and Knowledge Discovery to Information Visualization and Spatial Information Usability. He has given over 20 invited talks and keynotes in international conferences and workshops. Twitter: @LinkedScience.
Dr. Anna Lisa Gentile is a Research Associate in the OAK Group. She holds a PhD from the University of Bari (Italy). Her research field concerns large-scale Information Extraction technologies. She worked on Named Entity Disambiguation during her PhD where she investigated the exploitation of large and freely available Knowledge Resources. Since 2007 she investigated the use of background knowledge in supporting IE tasks. She exploited IE outcomes for designing community and organization oriented services. She has published in major conferences such as LREC, EMNLP and ISWC has been serving as a PC member for conferences such as ISWC, ESWC, IJCNLP amongst others, co-organized workshops (LD4IE in 2013 and 2014), and delivered tutorials at ISWC2013, EMNLP2013, ESWC2014. Twitter: @AnLiGentile.
