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 CY - Boston PY - 2004/ VL - IS - SP - 461 EP - 481 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2004/berendt04usage.pdf M3 - KW - 2004 KW - itegpub KW - l3s KW - mining KW - myown KW - semantic 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 -