Artikel in Tagungsbänden
Semantics made by you and me: Self-emerging ontologies can capture the diversity of shared knowledge.
In:
Proceedings of the 2nd Web Science Conference (WebSci10).
Raleigh, NC, USA, 2010.
Dominik Benz, Andreas Hotho und Gerd Stumme.
[BibTeX]
Sonstiges
Semantic Analysis of Tag Similarity Measures in Collaborative Tagging Systems.
2008.
Ciro Cattuto, Dominik Benz, Andreas Hotho und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.
Artikel in Tagungsbänden
Position Paper: Ontology Learning from Folksonomies..
In: A. Hinneburg
(Herausgeber):
LWA 2007: Lernen - Wissen - Adaption, Halle, September 2007, Workshop Proceedings (LWA), Seiten 109-112.
Martin-Luther-University Halle-Wittenberg, 2007.
Dominik Benz und Andreas Hotho.
[doi]
[BibTeX]
Learning Disjointness.
In: E. Franconi, M. Kifer und W. May
(Herausgeber):
Proceedings of the European Semantic Web Conference, ESWC2007, Band 4519, Reihe Lecture Notes in Computer Science.
Springer-Verlag, 2007.
Johanna Völker, Denny Vrandecic, York Sure und Andreas Hotho.
[doi]
[BibTeX]
Buchbeiträge
Learning Ontologies to Improve Text Clustering and Classification.
In:
From Data and Information Analysis to Knowledge Engineering, Seiten 334-341.
Springer Berlin Heidelberg, 2006.
Stephan Bloehdorn, Philipp Cimiano und Andreas Hotho.
[doi]
[Kurzfassung]
[BibTeX]
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 -
Artikel in Tagungsbänden
Clustering Ontologies from Text.
In:
Proceedings of the Conference on Languages Resources and Evaluation (LREC).
ELRA - European Language Ressources Association, Lisbon, Portugal, 2004.
Philipp Cimiano, Andreas Hotho und Steffen Staab.
[doi]
[BibTeX]
Conceptual Knowledge Processing with Formal Concept Analysis and Ontologies.
In:
Proceedings of the The Second International Conference on Formal Concept Analysis (ICFCA 04), Band 2961, Reihe LNCS.
Springer, 2004.
Philipp Cimiano, Andreas Hotho, Gerd Stumme und Julien Tane.
[doi]
[BibTeX]