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
OntoMiner: Bootstrapping and Populating Ontologies from Domain-Specific Web Sites
IEEE Intelligent Systems
CUTS: CUrvature-based development pattern analysis and segmentation for blogs and other Text Streams
Proceedings of the seventeenth conference on Hypertext and hypermedia
CP/CV: concept similarity mining without frequency information from domain describing taxonomies
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Discovering Subsumption Hierarchies of Ontology Concepts from Text Corpora
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
TaxaMiner: an experimentation framework for automated taxonomy bootstrapping
International Journal of Web and Grid Services
Creating tag hierarchies for effective navigation in social media
Proceedings of the 2008 ACM workshop on Search in social media
Emerging topic detection on Twitter based on temporal and social terms evaluation
Proceedings of the Tenth International Workshop on Multimedia Data Mining
Survey on social tagging techniques
ACM SIGKDD Explorations Newsletter
Navigating within news collections using tag-flakes
Journal of Visual Languages and Computing
Synthesis of collective tag-based opinions in the socialweb
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
ACM Transactions on Intelligent Systems and Technology (TIST)
A phrase mining framework for recursive construction of a topical hierarchy
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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We present the tagFlake system, which supports semantically informed navigation within a tag cloud. tagFlake relies on TMine for organizing tags extracted from textual content in hierarchical organizations, suitable for navigation, visualization, classification, and tracking. TMine extracts the most significant tag/terms from text documents and maps them onto a hierarchy in such a way that descendant terms are contextually dependent on their ancestors within the given corpus of documents. This provides tagFlake with a mechanism for enabling navigation within the tag space and for classification of the text documents based on the contextual structure captured by the created hierarchy. tagFlake is language neutral, since it does not rely on any natural language processing technique and is unsupervised.