Stumme, G.; Hotho, A. & Berendt, B. (2006), 'Semantic Web Mining - State of the Art and Future Directions', Journal of Web Semantics 4 (2) , 124-143 .
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SemanticWeb Mining aims at combining the two fast-developing research areas SemanticWeb andWeb Mining. This survey analyzes the convergence of trends from both areas: an increasing number of researchers is working on improving the results ofWeb Mining by exploiting semantic structures in theWeb, and they make use ofWeb Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The Semantic Web is the second-generation WWW, enriched by machine-processable information which supports the user in his tasks. Given the enormous size even of today’s Web, it is impossible to manually enrich all of these resources. Therefore, automated schemes for learning the relevant information are increasingly being used. Web Mining aims at discovering insights about the meaning of Web resources and their usage. Given the primarily syntactical nature of the data being mined, the discovery of meaning is impossible based on these data only. Therefore, formalizations of the semantics of Web sites and navigation behavior are becoming more and more common. Furthermore, mining the Semantic Web itself is another upcoming application. We argue that the two areas Web Mining and Semantic Web need each other to fulfill their goals, but that the full potential of this convergence is not yet realized. This paper gives an overview of where the two areas meet today, and sketches ways of how a closer integration could be profitable.

Berendt, B.; Hotho, A. & Stumme, G. (2005), Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space, in Vojtech Svatek & Vaclav Snasel, ed., 'Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space' , Technical University of Ostrava, , pp. 1--16 .
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Bloehdorn, S.; Cimiano, P.; Hotho, A. & Staab, S. (2005), 'An Ontology-based Framework for Text Mining', LDV Forum - GLDV Journal for Computational Linguistics and Language Technology 20 (1) , 87-112 .
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Hotho, A.; Nürnberger, A. & Paaß, G. (2005), ' A Brief Survey of Text Mining', LDV Forum - GLDV Journal for Computational Linguistics and Language Technology 20 (1) , 19-62 .
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Hotho, A. (2005), 'Text Clustern mit Hintergrundwissen (Dissertationsbeschreibung)', Künstliche Intelligenz (KI) 1 , 62-64 .
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2004

Bloehdorn, S. & Hotho, A. (2004), Boosting for Text Classification with Semantic Features, in 'Proceedings of the MSW 2004 workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining' , pp. 70-87 .
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Bloehdorn, S. & Hotho, A. (2004), Text Classification by Boosting Weak Learners based on Terms and Concepts, in 'Proceedings of the Fourth IEEE International Conference on Data Mining' , IEEE Computer Society Press, , pp. 331-334 .
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2003

Hotho, A.; Staab, S. & Stumme, G. (2003), Explaining Text Clustering Results using Semantic Structures, in 'Proc. of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD' , pp. 217-228 .
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Hotho, A.; Staab, S. & Stumme, G. (2003), 'Text Clustering Based on Background Knowledge' , Technical report, Institute AIFB, Universität Karlsruhe , 36 pages .
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Hotho, A.; Staab, S. & Stumme, G. (2003), WordNet improves text document clustering, in 'Proc. of the SIGIR 2003 Semantic Web Workshop' .
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Lauser, B. & Hotho, A. (2003), Automatic multi-label subject indexing in a multilingual environment, in 'Proc. of the 7th European Conference in Research and Advanced Technology for Digital Libraries, ECDL 2003' , Springer, , pp. 140-151 .
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Oberle, D.; Berendt, B.; Hotho, A. & Gonzalez, J. (2003), Conceptual User Tracking, in Ernestina Menasalvas Ruiz; Javier Segovia & Piotr S. Szczepaniak, ed., 'Advances in Web Intelligence, First International Atlantic Web Intelligence Conference, AWIC 2003, Madrid, Spain, May 5-6, 2003, Proceedings' , Springer, , pp. 142-154 .
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2002

Bozsak, E.; Ehrig, M.; Handschuh, S.; Hotho, A.; Maedche, A.; Motik, B.; Oberle, D.; Schmitz, C.; Staab, S.; Stojanovic, L.; Stojanovic, N.; Studer, R.; Stumme, G.; Sure, Y.; Tane, J.; Volz, R. & Zacharias, V. (2002), KAON - Towards a Large Scale Semantic Web, in K. Bauknecht; A. Min Tjoa & G. Quirchmayr, ed., 'E-Commerce and Web Technologies, Third International Conference, EC-Web 2002, Proceedings' , Springer, Berlin , pp. 304--313 .
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Fensel, D.; Wahlster, W.; Lieberman, H. & Hendler, J., ed. (2002), Spinning the Semantic Web: Bringing the World Wide Web
to Its Full Potential , MIT Press .
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Hotho, A.; Maedche, A. & Staab, S. (2002), 'Text Clustering Based on Good Aggregations', Künstliche Intelligenz (KI) 16 (4) , 48-54 .
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2001

Hotho, A.; Maedche, A. & Staab, S. (2001), Ontology-based Text Clustering, in 'Proc. of the Workshop ``Text Learning: Beyond Supervision'' at IJCAI 2001. Seattle, WA, USA, August 6, 2001' .
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