Andreas Hotho

Andreas Hotho is a person.

• AKA: A. Hotho.
• See: Ontology-based Data Mining, Ontology Population from Text.

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References

• http://www.kde.cs.uni-kassel.de/hotho
• http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/h/Hotho:Andreas.html
• http://scholar.google.com/scholar?q=Andreas+Hotho

2006

• (Hotho et al., 2006) ⇒ Andreas Hotho, Robert Jäschke, Christoph Schmitz, and Gerd Stumme. (2006). “Information Retrieval in Folksonomies: Search and Ranking.” In: Proceedings of the 3rd Annual European Semantic Web Conference (ESWC 2006). doi:10.1007/11762256_31

2005

• (Cimiano et al., 2005) ⇒ Philipp Cimiano, Andreas Hotho, and Steffen Staab. (2005). “Learning Concept Hierarchies from Text Corpora using Formal Concept Analysis.” In: Journal of Artificial Intelligence Research (JAIR), 24.

2003

• (Hotho et al., 2003a) ⇒ Andreas Hotho, Steffen Staab, and Gerd Stumme. (2003). “Wordnet Improves Text Document Clustering.” In: Proceedings of the SIGIR Workshop on Semantic Web Workshop.
• (Hotho et al., 2003b) ⇒ Andreas Hotho, Steffen Staab, and Gerd Stumme. (2003). “Ontologies Improve Text Document Clustering.” In: Proceedings of the Third IEEE International Conference on Data Mining (ICDM 2003).
• (Hotho et al., 2003c) ⇒ Andreas Hotho, Steffen Staab, and Gerd Stumme. (2003). “Explaining Text Clustering Results Using Semantic Structures.” In: Proceedings of the 7th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD 2003). doi:10.1007/978-3-540-39804-2_21
• (Hotho et al., 2003d) ⇒ Andreas Hotho, Steffen Staab, and Gerd Stumme. (2003). “Text Clustering Based on Background Knowledge.” Technical report, University of Karlsruhe, Institute AIFB.

2002

• (Berendt et al., 2002) ⇒ Bettina Berendt, Andreas Hotho, and Gerd Stumme. (2002). “Towards Semantic Web Mining.” In: Proceedings of the First International Semantic Web Conference on The Semantic Web (ISWC 2002). doi:10.1007/3-540-48005-6_21

2001

• (Hotho et al., 2001) ⇒ Andreas Hotho, Alexander Maedche, and Steffen Staab. “Ontology-based Text Clustering.” In: Proceedings of the IJCAI-2001 Workshop on Text Learning: Beyond Supervision.

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