Visualization of a document collection: the vibe system
Information Processing and Management: an International Journal
WordNet: a lexical database for English
Communications of the ACM
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Document clustering with committees
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Learning Algorithms for Keyphrase Extraction
Information Retrieval
Kernel methods for relation extraction
The Journal of Machine Learning Research
A document management methodology based on similarity contents
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
A reference ontology for biomedical informatics: the foundational model of anatomy
Journal of Biomedical Informatics - Special issue: Unified medical language system
A Concept-Driven Algorithm for Clustering Search Results
IEEE Intelligent Systems
A shortest path dependency kernel for relation extraction
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Neural Network Based Document Clustering Using WordNet Ontologies
International Journal of Hybrid Intelligent Systems
Visual analytics: Storylines: Visual exploration and analysis in latent semantic spaces
Computers and Graphics
A knowledge engineering approach to knowledge management
Information Sciences: an International Journal
Using lexical chains for keyword extraction
Information Processing and Management: an International Journal
Promoting Insight-Based Evaluation of Visualizations: From Contest to Benchmark Repository
IEEE Transactions on Visualization and Computer Graphics
A Concept-Driven Automatic Ontology Generation Approach for Conceptualization of Document Corpora
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Learning concept hierarchies from text corpora using formal concept analysis
Journal of Artificial Intelligence Research
IVEA: an information visualization tool for personalized exploratory document collection analysis
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
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As a greater volume of information becomes increasingly available across all disciplines, many approaches, such as document clustering and information visualization, have been proposed to help users manage information easily. However, most of these methods do not directly extract key concepts and their semantic relationships from document corpora, which could help better illuminate the conceptual structures within given information. To address this issue, we propose an approach called “Clonto” to process a document corpus, identify the key concepts, and automatically generate ontologies based on these concepts for the purpose of conceptualization. For a given document corpus, Clonto applies latent semantic analysis to identify key concepts, allocates documents based on these concepts, and utilizes WordNet to automatically generate a corpus-related ontology. The documents are linked to the ontology through the key concepts. Based on two test collections, the experimental results show that Clonto is able to identify key concepts, and outperforms four other clustering algorithms. Moreover, the ontologies generated by Clonto show significant informative conceptual structures. © 2009 Wiley Periodicals, Inc.