Extended Boolean information retrieval
Communications of the ACM
Generating hierarchical summaries for web searches
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
OntoMiner: bootstrapping ontologies from overlapping domain specific web sites
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Extending the Utility of Treemaps with Flexible Hierarchy
IV '04 Proceedings of the Information Visualisation, Eighth International Conference
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
CUTS: CUrvature-based development pattern analysis and segmentation for blogs and other Text Streams
Proceedings of the seventeenth conference on Hypertext and hypermedia
Semi-automatic, data-driven construction of multimedia ontologies
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
CDIP: Collection-Driven, yet Individuality-Preserving Automated Blog Tagging
ICSC '07 Proceedings of the International Conference on Semantic Computing
Discovering Subsumption Hierarchies of Ontology Concepts from Text Corpora
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Ontology generation for large email collections
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Using tagflake for condensing navigable tag hierarchies from tag clouds
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating tag-based information access in image collections
Proceedings of the 23rd ACM conference on Hypertext and social media
RuleML'13 Proceedings of the 7th international conference on Theory, Practice, and Applications of Rules on the Web
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In social media, such as blogs, since the content naturally evolves over time, it is hard or in many cases impossible to organize the content for effective navigation. Thus, one commonly has to resort to simple tools, such as tags and tag clouds, for presenting frequently used keywords to users to provide them at least some high level idea about the content of a given set of social media entries. Most visualizations of tag clouds vary the sizes of the fonts to differentiate important tags from those that are less important. We propose an alternative "contextual-layout" method, TMine, for analyzing and presenting tags that are extracted from textual content. In TMine tags are first mapped onto a latent semantic space. Then, TMine analyzes the relationships between tags relying on an extended boolean interpretation of the semantic space. The tag cloud is condensed into a hierarchy in a way that captures contextual relationships between tags: in particular, descendant terms in the hierarchy occur within the context defined by the ancestor terms. This provides a mechanism for navigation within the tag space as well as for classification of the text documents based on the contextual structure implied by the tags.