Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
A mathematical model of the finding of usability problems
CHI '93 Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems
The KDD process for extracting useful knowledge from volumes of data
Communications of the ACM
IEEE Transactions on Visualization and Computer Graphics
Information Visualization and Visual Data Mining
IEEE Transactions on Visualization and Computer Graphics
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Ontology visualization methods—a survey
ACM Computing Surveys (CSUR)
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
The RelFinder user interface: interactive exploration of relationships between objects of interest
Proceedings of the 15th international conference on Intelligent user interfaces
Instance based clustering of semantic web resources
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Knoocks - A Visualization Approach for OWL Lite Ontologies
CISIS '10 Proceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems
How Information Visualization Novices Construct Visualizations
IEEE Transactions on Visualization and Computer Graphics
A novel approach to visualizing and navigating ontologies
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Connecting the dots: a multi-pivot approach to data exploration
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part I
Towards task-based development of enterprise mashups
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Linked Data in Disaster Mitigation and Preparedness
INCOS '11 Proceedings of the 2011 Third International Conference on Intelligent Networking and Collaborative Systems
CropCircles: topology sensitive visualization of OWL class hierarchies
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
Empirical findings on ontology metrics
Expert Systems with Applications: An International Journal
Facet graphs: complex semantic querying made easy
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Interactive relationship discovery via the semantic web
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Design and Evaluation of MagnetViz—A Graph Visualization Tool
IEEE Transactions on Visualization and Computer Graphics
Unsupervised generation of data mining features from linked open data
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Weighted faceted browsing for characteristics-based visualization selection through end users
Proceedings of the 4th ACM SIGCHI symposium on Engineering interactive computing systems
Approaches to visualising linked data: a survey
Semantic Web
Thematic clustering and exploration of linked data
Search Computing
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Recently, the interest in semantic web technologies increased in various domains, e.g., software engineering or biology. Since this technologies address the long tail of information domains with missing content types, the number of linked datasets will grow even more rapidly. Tech-savvy users and scientists benefit from this trend as they have the knowledge to created complex queries, and thus, to retrieve interesting subsets and answers. However, end-users have difficulties to understand the data's paradigm and need appropriate tool support to slice and dice the data to understandable parts or particular resources. In this paper, we propose a novel approach to enable end-users to browse huge semantic datasets, to detect, and to select interesting resources according to their specific tasks. Based on our evaluation results of two user studies using a web-based prototype we explain, which visualization and interaction techniques in combination with automatic filters are well-suited for novices.