Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Efficient aggregation for graph summarization
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Multi Visualization and Dynamic Query for Effective Exploration of Semantic Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Semantic wonder cloud: exploratory search in DBpedia
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Structured data clouding across multiple webs
Information Systems
A conceptual framework for linked data exploration
ICWE'11 Proceedings of the 11th international conference on Current Trends in Web Engineering
Mining topic clouds from social data
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
Hi-index | 0.00 |
Exploration of linked data aims at providing tools and techniques that enable to effectively explore a dataset through concepts, relationships, and properties by means of SPARQL endpoints and visual interfaces. In this paper, we present a set of clouding services for linked data exploration, to enable the end-user to personalize and focus her/his exploration by interactively configuring high-level conceptual structures called inClouds.