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 - JOUR AU - Stumme, Gerd AU - Hotho, Andreas AU - Berendt, Bettina T1 - Semantic Web Mining - State of the Art and Future Directions JO - Journal of Web Semantics PY - 2006/ VL - 4 IS - 2 SP - 124 EP - 143 UR - http://www.kde.cs.uni-kassel.de/hotho/pub/2006/JWS2006SemanticWebMining.pdf DO - KW - 2006 KW - semantic KW - myown KW - mining KW - SumSchool06 KW - web L1 - SN - N1 - N1 - AB - 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. 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://www.kde.cs.uni-kassel.de/stumme/papers/2005/berendt2005semantic.pdf DO - KW - itegpub KW - 2005 KW - semantic KW - l3s KW - myown KW - mining KW - web L1 - SN - 80-248-0864-1 N1 - N1 - AB - 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://www.kde.cs.uni-kassel.de/stumme/papers/2005/berendt2005semantic.pdf DO - KW - itegpub KW - 2005 KW - semantic KW - l3s KW - myown KW - mining KW - web L1 - SN - 80-248-0864-1 N1 - Publications of Gerd Stumme N1 - AB - 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 - semantic KW - myown KW - mining KW - SumSchool06 KW - web L1 - SN - 80-248-0864-1 N1 - N1 - AB - 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 - DO - KW - trias_example KW - semantic KW - iccs_example KW - mining KW - web L1 - SN - 80-248-0864-1 N1 - N1 - AB - ER - TY - CONF AU - Berendt, Bettina AU - Hotho, Andreas AU - Mladenic, Dunja AU - van Someren, Maarten AU - Spiliopoulou, Myra AU - Stumme, Gerd A2 - Berendt, Bettina A2 - Hotho, Andreas A2 - Mladenic, Dunja A2 - van Someren, Maarten A2 - Spiliopoulou, Myra A2 - Stumme, Gerd T1 - A Roadmap for Web Mining: From Web to Semantic Web. T2 - Web Mining: From Web to Semantic Web PB - Springer C1 - Heidelberg PY - 2004/ CY - VL - 3209 IS - SP - 1 EP - 22 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf DO - KW - pkdd KW - workshop KW - itegpub KW - 2004 KW - proceedings KW - semantic KW - l3s KW - ecml KW - myown KW - roadmap KW - ewmf KW - mining KW - web L1 - SN - N1 - N1 - AB - The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science. ER - TY - CONF AU - Berendt, Bettina AU - Hotho, Andreas AU - Mladenic, Dunja AU - van Someren, Maarten AU - Spiliopoulou, Myra AU - Stumme, Gerd A2 - Berendt, Bettina A2 - Hotho, Andreas A2 - Mladenic, Dunja A2 - van Someren, Maarten A2 - Spiliopoulou, Myra A2 - Stumme, Gerd T1 - A Roadmap for Web Mining: From Web to Semantic Web. T2 - Web Mining: From Web to Semantic Web PB - Springer C1 - Heidelberg PY - 2004/ CY - VL - 3209 IS - SP - 1 EP - 22 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt2004roadmap.pdf DO - KW - pkdd KW - workshop KW - itegpub KW - 2004 KW - proceedings KW - semantic KW - l3s KW - ecml KW - myown KW - roadmap KW - ewmf KW - mining KW - web L1 - SN - N1 - Publications of Gerd Stumme N1 - AB - The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent Semantic Web. The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup languages like HTML allow users to publish and read documents at a world-wide scale and to communicate via chat connections, including information in the form of images and voice records. The HTTP protocol that enables access to documents over the network via Web browsers created an immense improvement in communication and access to information. For some years these possibilities were used mostly in the scientific world but recent years have seen an immense growth in popularity, supported by the wide availability of computers and broadband communication. The use of the internet for other tasks than finding information and direct communication is increasing, as can be seen from the interest in ldquoe-activitiesrdquo such as e-commerce, e-learning, e-government, e-science. ER - TY - CHAP AU - Berendt, Bettina AU - Hotho, Andreas AU - Stumme, Gerd A2 - Kargupta, Hillol A2 - Joshi, Anupam A2 - Sivakumar, Krishnamoorthy A2 - Yesha, Yelena T1 - Usage Mining for and on the Semantic Web T2 - Data Mining Next Generation Challenges and Future Directions PB - AAAI Press C1 - Boston PY - 2004/ VL - IS - SP - 461 EP - 481 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf DO - KW - itegpub KW - 2004 KW - semantic KW - l3s KW - myown KW - mining KW - usage KW - web L1 - SN - 0-262-61203-8 N1 - N1 - AB - Semantic Web Mining aims at combining the two fast-developing
research areas Semantic Web and Web Mining.
Web Mining aims at discovering insights about the meaning of Web
resources and their usage. Given the primarily syntactical nature
of data Web mining operates on, the discovery of meaning is
impossible based on these data only. Therefore, formalizations of
the semantics of Web resources and navigation behavior are
increasingly being used. This fits exactly with the aims of the
Semantic Web: the Semantic Web enriches the WWW by
machine-processable information which supports the user in his
tasks. In this paper, we discuss the interplay of the Semantic Web
with Web Mining, with a specific focus on usage mining. ER - TY - CHAP AU - Berendt, Bettina AU - Hotho, Andreas AU - Stumme, Gerd A2 - Kargupta, Hillol A2 - Joshi, Anupam A2 - Sivakumar, Krishnamoorthy A2 - Yesha, Yelena T1 - Usage Mining for and on the Semantic Web T2 - Data Mining Next Generation Challenges and Future Directions PB - AAAI Press C1 - Boston PY - 2004/ VL - IS - SP - 461 EP - 481 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf DO - KW - itegpub KW - 2004 KW - semantic KW - l3s KW - myown KW - mining KW - usage KW - web L1 - SN - 0-262-61203-8 N1 - Publications of Gerd Stumme N1 - AB - Semantic Web Mining aims at combining the two fast-developing
research areas Semantic Web and Web Mining.
Web Mining aims at discovering insights about the meaning of Web
resources and their usage. Given the primarily syntactical nature
of data Web mining operates on, the discovery of meaning is
impossible based on these data only. Therefore, formalizations of
the semantics of Web resources and navigation behavior are
increasingly being used. This fits exactly with the aims of the
Semantic Web: the Semantic Web enriches the WWW by
machine-processable information which supports the user in his
tasks. In this paper, we discuss the interplay of the Semantic Web
with Web Mining, with a specific focus on usage mining. ER - TY - CHAP AU - Berendt, Bettina AU - Hotho, Andreas AU - Stumme, Gerd A2 - Kargupta, Hillol A2 - Joshi, Anupam A2 - Sivakumar, Krishnamoorthy A2 - Yesha, Yelena T1 - Usage Mining for and on the Semantic Web T2 - Data Mining Next Generation Challenges and Future Directions PB - AAAI Press C1 - Boston PY - 2004/ VL - IS - SP - 461 EP - 481 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf DO - KW - trias_example KW - semantic KW - iccs_example KW - mining KW - usage KW - web L1 - SN - 0-262-61203-8 N1 - N1 - AB - Semantic Web Mining aims at combining the two fast-developing
research areas Semantic Web and Web Mining.
Web Mining aims at discovering insights about the meaning of Web
resources and their usage. Given the primarily syntactical nature
of data Web mining operates on, the discovery of meaning is
impossible based on these data only. Therefore, formalizations of
the semantics of Web resources and navigation behavior are
increasingly being used. This fits exactly with the aims of the
Semantic Web: the Semantic Web enriches the WWW by
machine-processable information which supports the user in his
tasks. In this paper, we discuss the interplay of the Semantic Web
with Web Mining, with a specific focus on usage mining. 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 - conceptual KW - tracking KW - 2003 KW - myown KW - mining KW - user KW - usage KW - SumSchool06 KW - web L1 - SN - N1 - N1 - AB - ER -