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. ER - TY - CONF AU - Berendt, Bettina AU - Hotho, Andreas AU - Stumme, Gerd A2 - Svatek, Vojtech A2 - Snasel, Vaclav T1 - Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space T2 - Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space PB - Technical University of Ostrava C1 - PY - 2005/ CY - VL - IS - SP - 1 EP - 16 UR - http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-164/raws2005-paper1.pdf DO - KW - 2005 KW - SumSchool06 KW - mining KW - myown KW - semantic KW - web L1 - SN - 80-248-0864-1 N1 - N1 - AB - ER - TY - JOUR AU - Bloehdorn, Stephan AU - Cimiano, Philipp AU - Hotho, Andreas AU - Staab, Steffen T1 - An Ontology-based Framework for Text Mining JO - LDV Forum - GLDV Journal for Computational Linguistics and Language Technology PY - 2005/05 VL - 20 IS - 1 SP - 87 EP - 112 UR - DO - KW - framework KW - text KW - ontology KW - myown KW - SumSchool06 KW - mining KW - 2005 L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Hotho, Andreas AU - Nürnberger, Andreas AU - Paaß, Gerhard T1 - A Brief Survey of Text Mining JO - LDV Forum - GLDV Journal for Computational Linguistics and Language Technology PY - 2005/05 VL - 20 IS - 1 SP - 19 EP - 62 UR - http://www.kde.cs.uni-kassel.de/hotho/pub/2005/hotho05TextMining.pdf DO - KW - 2005 KW - SumSchool06 KW - mining KW - myown KW - ontology KW - overview KW - survey KW - text KW - tm L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Hotho, Andreas T1 - Text Clustern mit Hintergrundwissen (Dissertationsbeschreibung) JO - Künstliche Intelligenz (KI) PY - 2005/ VL - 1 IS - SP - 62 EP - 64 UR - http://www.kde.cs.uni-kassel.de/hotho/pub/2005/hotho05KI_final.pdf DO - KW - clustern KW - SumSchool06 KW - myown KW - hintergrundwissen KW - 2005 L1 - SN - N1 - N1 - AB - ER - TY - BOOK AU - Antoniou, Grigoris AU - van Harmelen, Frank A2 - T1 - A Semantic Web Primer PB - MIT Press C1 - PY - 2004/ VL - IS - SP - EP - UR - DO - KW - web KW - SumSchool06 KW - book KW - semantic KW - introduction L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Bloehdorn, Stephan AU - Hotho, Andreas A2 - T1 - Boosting for Text Classification with Semantic Features T2 - Proceedings of the MSW 2004 workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining PB - C1 - PY - 2004/08 CY - VL - IS - SP - 70 EP - 87 UR - http://www.kde.cs.uni-kassel.de/hotho/pub/2004/msw04bloehdorn.pdf DO - KW - boosting KW - text KW - ontology KW - SumSchool06 KW - classification KW - myown KW - 2004 L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Bloehdorn, Stephan AU - Hotho, Andreas A2 - T1 - Text Classification by Boosting Weak Learners based on Terms and Concepts T2 - Proceedings of the Fourth IEEE International Conference on Data Mining PB - IEEE Computer Society Press C1 - PY - 2004/november CY - VL - IS - SP - 331 EP - 334 UR - http://www.kde.cs.uni-kassel.de/hotho/pub/2004/icdm04boosting.pdf DO - KW - boosting KW - text KW - ontology KW - myown KW - classification KW - SumSchool06 KW - 2004 KW - weak KW - learner L1 - SN - N1 - N1 - AB - ER - TY - BOOK AU - Hotho, Andreas A2 - T1 - Clustern mit Hintergrundwissen PB - Akademische Verlagsgesellschaft Aka GmbH C1 - Berlin PY - 2004/ VL - 286 IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/hotho/pub/2004/dissAho.pdf DO - KW - clustern KW - text KW - ontology KW - SumSchool06 KW - myown KW - 2004 KW - hintergrundwissen L1 - SN - 3-89838-286-9 N1 - N1 - AB - ER - TY - CONF AU - Hotho, A. AU - Staab, S. AU - Stumme, G. A2 - T1 - Explaining Text Clustering Results using Semantic Structures T2 - Proc. of the 7th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD PB - C1 - PY - 2003/ CY - VL - 2838 IS - SP - 217 EP - 228 UR - DO - KW - 2003 KW - SumSchool06 KW - clustering KW - fca KW - myown KW - text KW - visualization L1 - SN - N1 - N1 - AB - ER - TY - RPRT AU - Hotho, A. AU - Staab, S. AU - Stumme, G. A2 - T1 - Text Clustering Based on Background Knowledge PB - Institute AIFB, Universität Karlsruhe AD - PY - 2003/ VL - IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/hotho/pub/hotho_etal_techreport425.pdf DO - KW - clustering KW - text KW - SumSchool06 KW - myown KW - knowledge KW - background KW - 2003 L1 - N1 - N1 - N1 - AB - ER - TY - CONF AU - Hotho, A. AU - Staab, S. AU - Stumme, G. A2 - T1 - WordNet improves text document clustering T2 - Proc. of the SIGIR 2003 Semantic Web Workshop PB - C1 - Toronto, Canada PY - 2003/ CY - VL - IS - SP - EP - UR - http://www.kde.cs.uni-kassel.de/hotho/pub/hothoetal_sigir_ws_sem_web.pdf DO - KW - clustering KW - text KW - ontology KW - wordnet KW - evaluation KW - myown KW - SumSchool06 KW - 2003 L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Lauser, Boris AU - Hotho, Andreas A2 - T1 - Automatic multi-label subject indexing in a multilingual environment T2 - Proc. of the 7th European Conference in Research and Advanced Technology for Digital Libraries, ECDL 2003 PB - Springer C1 - PY - 2003/ CY - VL - 2769 IS - SP - 140 EP - 151 UR - DO - KW - 2003 KW - SumSchool06 KW - agrovoc KW - classification KW - myown KW - ontology KW - text L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Oberle, Daniel AU - Berendt, Bettina AU - Hotho, Andreas AU - Gonzalez, Jorge A2 - Ruiz, Ernestina Menasalvas A2 - Segovia, Javier A2 - Szczepaniak, Piotr S. T1 - Conceptual User Tracking T2 - Advances in Web Intelligence, First International Atlantic Web Intelligence Conference, AWIC 2003, Madrid, Spain, May 5-6, 2003, Proceedings PB - Springer C1 - PY - 2003/ CY - VL - 2663 IS - SP - 142 EP - 154 UR - http://www.aifb.uni-karlsruhe.de/WBS/dob/pubs/awic2003.pdf DO - KW - 2003 KW - SumSchool06 KW - conceptual KW - mining KW - myown KW - tracking KW - usage KW - user KW - web L1 - SN - N1 - N1 - AB - ER - TY - BOOK AU - A2 - Staab, S. A2 - Studer, R. T1 - Handbook on Ontologies PB - Springer C1 - Berlin, DE PY - 2003/ VL - IS - SP - EP - UR - DO - KW - web KW - ontology KW - SumSchool06 KW - overview KW - semantic L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Bozsak, E. AU - Ehrig, M. AU - Handschuh, S. AU - Hotho, A. AU - Maedche, A. AU - Motik, B. AU - Oberle, D. AU - Schmitz, C. AU - Staab, S. AU - Stojanovic, L. AU - Stojanovic, N. AU - Studer, R. AU - Stumme, G. AU - Sure, Y. AU - Tane, J. AU - Volz, R. AU - Zacharias, V. A2 - Bauknecht, K. A2 - Tjoa, A. Min A2 - Quirchmayr, G. T1 - KAON - Towards a Large Scale Semantic Web T2 - E-Commerce and Web Technologies, Third International Conference, EC-Web 2002, Proceedings PB - Springer C1 - Berlin PY - 2002/ CY - VL - 2455 IS - SP - 304 EP - 313 UR - DO - KW - web KW - SumSchool06 KW - myown KW - kaon KW - semantic KW - management KW - 2002 L1 - SN - N1 - N1 - AB - ER - TY - BOOK AU - A2 - Fensel, Dieter A2 - Wahlster, Wolfgang A2 - Lieberman, Henry A2 - Hendler, James T1 - Spinning the Semantic Web: Bringing the World Wide Web
to Its Full Potential PB - MIT Press C1 - PY - 2002/ VL - IS - SP - EP - UR - DO - KW - web KW - SumSchool06 KW - overview KW - semantic L1 - SN - N1 - The big one N1 - AB - ER - TY - JOUR AU - Hotho, Andreas AU - Maedche, Alexander AU - Staab, Steffen T1 - Text Clustering Based on Good Aggregations JO - Künstliche Intelligenz (KI) PY - 2002/ VL - 16 IS - 4 SP - 48 EP - 54 UR - http://www.aifb.uni-karlsruhe.de/WBS/aho/pub/Ontology_based_Text_Document_Clustering_2002.pdf DO - KW - clustering KW - text KW - ontology KW - SumSchool06 KW - myown KW - 2002 L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Hotho, Andreas AU - Maedche, Alexander AU - Staab, Steffen A2 - T1 - Ontology-based Text Clustering T2 - Proc. of the Workshop ``Text Learning: Beyond Supervision'' at IJCAI 2001. Seattle, WA, USA, August 6, 2001 PB - C1 - PY - 2001/ CY - VL - IS - SP - EP - UR - DO - KW - clustering KW - 2001 KW - text KW - ontology KW - myown KW - SumSchool06 KW - knowledge KW - background L1 - SN - N1 - N1 - AB - ER -