SONIA: a service for organizing networked information autonomously
Proceedings of the third ACM conference on Digital libraries
Internet browsing and searching: user evaluations of category map and concept space techniques
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A knowledge-based approach to organizing retrieved documents
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Extracting taxonomic relationships from on-line definitional sources using LEXING
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
Finding topic words for hierarchical summarization
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine Learning
Information Architecture for the World Wide Web
Information Architecture for the World Wide Web
Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
EZ.WordNet: Principles for Automatic Generation of a Coarse Grained WordNet
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Automatic construction of a hypernym-labeled noun hierarchy from text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
The cluster-abstraction model: unsupervised learning of topic hierarchies from text data
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Automatic construction of multifaceted browsing interfaces
Proceedings of the 14th ACM international conference on Information and knowledge management
Clustering versus faceted categories for information exploration
Communications of the ACM - Supporting exploratory search
An evaluation scheme for hierarchical information browsing structures
CHI '08 Extended Abstracts on Human Factors in Computing Systems
User-Centric Faceted Search for Semantic Portals
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Teaching applied natural language processing: triumphs and tribulations
TeachNLP '05 Proceedings of the Second ACL Workshop on Effective Tools and Methodologies for Teaching Natural Language Processing and Computational Linguistics
The nested chinese restaurant process and bayesian nonparametric inference of topic hierarchies
Journal of the ACM (JACM)
NLP support for faceted navigation in scholarly collections
NLPIR4DL '09 Proceedings of the 2009 Workshop on Text and Citation Analysis for Scholarly Digital Libraries
From Keyword Search to Exploration: Designing Future Search Interfaces for the Web
Foundations and Trends in Web Science
Exploring the information space of cultural collections using formal concept analysis
ICFCA'11 Proceedings of the 9th international conference on Formal concept analysis
Concept analysis as a formal method for menu design
DSVIS'05 Proceedings of the 12th international conference on Interactive Systems: design, specification, and verification
International Journal of Information Management: The Journal for Information Professionals
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Currently, information architects create metadata category hierarchies manually. We present a nearly-automated approach for deriving such hierarchies, by converting the lexical hierarchy WordNet into a format that reflects the contents of a target information collection. We use the term "nearly-automated" because an information architect should have to make only small adjustments to produce an acceptable metadata structure. We contrast the results with an algorithm that uses lexical co-occurrence statistics.