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AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
Bloehdorn, S., Cimiano, P. & Hotho, A. Learning Ontologies to Improve Text Clustering and Classification 2006 From Data and Information Analysis to Knowledge Engineering   article DOIURL  
Abstract: Recent work has shown improvements in text clustering and classification tasks by integrating conceptual features extracted from ontologies. In this paper we present text mining experiments in the medical domain in which the ontological structures used are acquired automatically in an unsupervised learning process from the text corpus in question. We compare results obtained using the automatically learned ontologies with those obtained using manually engineered ones. Our results show that both types of ontologies improve results on text clustering and classification tasks, whereby the automatically acquired ontologies yield a improvement competitive with the manually engineered ones. ER -
BibTeX:
@article{bloehdorn2006learning,
  author = {Stephan Bloehdorn and Philipp Cimiano and Andreas Hotho},
  title = {Learning Ontologies to Improve Text Clustering and Classification},
  journal = {From Data and Information Analysis to Knowledge Engineering},
  year = {2006},
  pages = {334--341},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2006/2006-03-gfkl05-bloehdorn-etal-learning-ontologies.pdf},
  doi = {http://dx.doi.org/10.1007/3-540-31314-1_40}
}
Cattuto, C., Benz, D., Hotho, A. & Stumme, G. Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems 2008   misc URL  
Abstract: Social bookmarking systems allow users to organise collections of resources on the Web in a collaborative fashion. The increasing popularity of these systems as well as first insights into their emergent semantics have made them relevant to disciplines like knowledge extraction and ontology learning. The problem of devising methods to measure the semantic relatedness between tags and characterizing it semantically is still largely open. Here we analyze three measures of tag relatedness: tag co-occurrence, cosine similarity of co-occurrence distributions, and FolkRank, an adaptation of the PageRank algorithm to folksonomies. Each measure is computed on tags from a large-scale dataset crawled from the social bookmarking system del.icio.us. To provide a semantic grounding of our findings, a connection to WordNet (a semantic lexicon for the English language) is established by mapping tags into synonym sets of WordNet, and applying there well-known metrics of semantic similarity. Our results clearly expose different characteristics of the selected measures of relatedness, making them applicable to different subtasks of knowledge extraction such as synonym detection or discovery of concept hierarchies.
BibTeX:
@misc{cattuto-2008,
  author = {Ciro Cattuto and Dominik Benz and Andreas Hotho and Gerd Stumme},
  title = {Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems},
  year = {2008},
  url = {http://www.citebase.org/abstract?id=oai:arXiv.org:0805.2045}
}
Cimiano, P. Ontology Learning and Population from Text: Algorithms, Evaluation and Applications 2006   book URL  
BibTeX:
@book{cimiano2006,
  author = {Philipp Cimiano},
  title = {Ontology Learning and Population from Text: Algorithms, Evaluation and Applications},
  publisher = {Springer-Verlag New York, Inc.},
  year = {2006},
  url = {http://portal.acm.org/citation.cfm?id=1177318}
}
Cimiano, P., Hotho, A. & Staab, S. Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis 2005 Journal of Artificial Intelligence Research (JAIR)   article URL  
BibTeX:
@article{cimiano2005learning,
  author = {P. Cimiano and A. Hotho and S. Staab},
  title = {Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis},
  journal = {Journal of Artificial Intelligence Research (JAIR)},
  publisher = {AAAI Press},
  year = {2005},
  volume = {24},
  pages = {305-339},
  url = {http://www.jair.org/media/1648/live-1648-2403-jair.pdf}
}
Cimiano, P., Hotho, A. & Staab, S. Clustering Ontologies from Text 2004 Proceedings of the Conference on Languages Resources and Evaluation (LREC)   inproceedings URL  
BibTeX:
@inproceedings{cim04a,
  author = {Philipp Cimiano and Andreas Hotho and Steffen Staab},
  title = {Clustering Ontologies from Text},
  booktitle = {Proceedings of the Conference on Languages Resources and Evaluation (LREC)},
  publisher = {ELRA - European Language Ressources Association},
  year = {2004},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/lrec04.pdf}
}
Cimiano, P., Hotho, A., Stumme, G. & Tane, J. Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies 2004 Proceedings of the The Second International Conference on Formal Concept Analysis (ICFCA 04)   inproceedings URL  
BibTeX:
@inproceedings{cim04b,
  author = {Philipp Cimiano and Andreas Hotho and Gerd Stumme and Julien Tane},
  title = {Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies},
  booktitle = {Proceedings of the The Second International Conference on Formal Concept Analysis (ICFCA 04)},
  publisher = {Springer},
  year = {2004},
  volume = {2961},
  url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2004/icfca04.pdf}
}
Cimiano, P. & Völker, J. Text2Onto - A Framework for Ontology Learning and Data-driven Change Discovery 2005 Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB)   inproceedings URL  
BibTeX:
@inproceedings{nldb05,
  author = {Philipp Cimiano and Johanna Völker},
  title = {Text2Onto - A Framework for Ontology Learning and Data-driven Change Discovery},
  booktitle = {Proceedings of the 10th International Conference on Applications of Natural Language to Information Systems (NLDB)},
  publisher = {Springer},
  year = {2005},
  volume = {3513},
  pages = {227-238},
  url = {\url{http://www.aifb.uni-karlsruhe.de/WBS/jvo/publications/Text2Onto_nldb_2005.pdf}}
}
McRae, K., Cree, G. S., Seidenberg, M. S. & McNorgan, C. Semantic feature production norms for a large set of living and nonliving things 2005 Behav Res Methods   article URL  
Abstract: Semantic features have provided insight into numerous behavioral phenomena concerning concepts, categorization, and semantic memory in adults, children, and neuropsychological populations. Numerous theories and models in these areas are based on representations and computations involving semantic features. Consequently, empirically derived semantic feature production norms have played, and continue to play, a highly useful role in these domains. This article describes a set of feature norms collected from approximately 725 participants for 541 living (dog) and nonliving (chair) basic-level concepts, the largest such set of norms developed to date. This article describes the norms and numerous statistics associated with them. Our aim is to make these norms available to facilitate other research, while obviating the need to repeat the labor-intensive methods involved in collecting and analyzing such norms. The full set of norms may be downloaded from www.psychonomic.org/archive.
BibTeX:
@article{McRae:2005:Behav-Res-Methods:16629288,
  author = {K McRae and G S Cree and M S Seidenberg and C McNorgan},
  title = {Semantic feature production norms for a large set of living and nonliving things},
  journal = {Behav Res Methods},
  year = {2005},
  volume = {37},
  number = {4},
  pages = {547-559},
  url = {http://www.ncbi.nlm.nih.gov/pubmed/16629288}
}
Völker, J., Vrandecic, D., Sure, Y. & Hotho, A. Learning Disjointness 2007 Proceedings of the European Semantic Web Conference, ESWC2007   inproceedings URL  
BibTeX:
@inproceedings{voelker1:07:eswc,
  author = {Johanna Völker and Denny Vrandecic and York Sure and Andreas Hotho},
  title = {{Learning Disjointness}},
  booktitle = {Proceedings of the European Semantic Web Conference, ESWC2007},
  publisher = {Springer-Verlag},
  year = {2007},
  volume = {4519},
  url = {http://www.eswc2007.org/pdf/eswc07-voelker1.pdf}
}
Ontology Learning from Text: Methods, Evaluation and Applications 2005   book  
BibTeX:
@book{buitelaar05ontologylearningbook,,
  title = {Ontology Learning from Text: Methods, Evaluation and Applications},
  publisher = {IOS Press},
  year = {2005},
  volume = {123}
}

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