Leveraging crowdsourced knowledge for web data clouds empowerment

The development of solutions to effectively browse and explore the huge amount of data actually available in the Linked Data Cloud is getting more and more importance. As a result, automated techniques to generate high-level, concept-based information structures are recently being emerging. The notion of inCloud we proposed is an example in this direction. In this paper, we propose to extend the in Cloud construction process with crowdsourced knowledge, to benefit from human knowledge and experience for improving the overall quality of resulting inClouds for linked data exploration.

[1]  John Grundy,et al.  Interactive Visualization Tools for Exploring the Semantic Graph of Large Knowledge Spaces , 2009 .

[2]  Fernando González-Ladrón-de-Guevara,et al.  Towards an integrated crowdsourcing definition , 2012, J. Inf. Sci..

[3]  Tommaso Di Noia,et al.  Semantic Wonder Cloud: Exploratory Search in DBpedia , 2010, ICWE Workshops.

[4]  Salil S. Kanhere,et al.  Participatory Sensing: Crowdsourcing Data from Mobile Smartphones in Urban Spaces , 2011, 2011 IEEE 12th International Conference on Mobile Data Management.

[5]  Stefano Ceri,et al.  Search Computing: broadening web search , 2012 .

[6]  Aldo Gangemi,et al.  Aemoo: Exploratory Search based on KnowledgePatterns over the Semantic Web , 2011 .

[7]  Alessandro Bozzon,et al.  Liquid query: multi-domain exploratory search on the web , 2010, WWW '10.

[8]  Tim Kraska,et al.  CrowdDB: answering queries with crowdsourcing , 2011, SIGMOD '11.

[9]  Xiang Zhang,et al.  Ontology summarization based on rdf sentence graph , 2007, WWW '07.

[10]  Jennifer Widom,et al.  CrowdScreen: algorithms for filtering data with humans , 2012, SIGMOD Conference.

[11]  Panagiotis G. Ipeirotis,et al.  Running Experiments on Amazon Mechanical Turk , 2010, Judgment and Decision Making.

[12]  Silvana Castano,et al.  Clouding Services for Linked Data Exploration , 2012, CAiSE.

[13]  Alon Y. Halevy,et al.  Crowdsourcing systems on the World-Wide Web , 2011, Commun. ACM.

[14]  Thanh Tran,et al.  Heterogeneous web data search using relevance-based on the fly data integration , 2012, WWW.

[15]  Alfio Ferrara,et al.  Linked data classification: a feature-based approach , 2013, EDBT '13.

[16]  G. Marchionini From Finding to Understanding , 2006 .