LEADER 04687oam 2200673 450 001 9910485021403321 005 20210520122547.0 010 $a3-540-74951-9 024 7 $a10.1007/978-3-540-74951-6 035 $a(CKB)1000000000490593 035 $a(SSID)ssj0000317804 035 $a(PQKBManifestationID)11266424 035 $a(PQKBTitleCode)TC0000317804 035 $a(PQKBWorkID)10307488 035 $a(PQKB)11765415 035 $a(DE-He213)978-3-540-74951-6 035 $a(MiAaPQ)EBC3063357 035 $a(MiAaPQ)EBC6413242 035 $a(PPN)123165105 035 $a(EXLCZ)991000000000490593 100 $a20210520d2007 uy 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aFrom Web to social Web $ediscovering and deploying user and content profiles : Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006 : revised selected and invited papers /$fedited by Bettina Berendt [and three others] 205 $a1st ed. 2007. 210 1$aBerlin, Germany ;$aNew York, New York :$cSpringer,$d[2007] 210 4$d©2007 215 $a1 online resource (XI, 164 p.) 225 1 $aLecture notes in computer science. Lecture notes in artificial intelligence ;4737 300 $a"Web Mining (WebMine) 2006 was organized as part of the 17th European Conference on Machine Learning (ECML) and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)"--P. [x]. 311 $a3-540-74950-0 320 $aIncludes bibliographical references and index. 327 $aAn Analysis of Bloggers, Topics and Tags for a Blog Recommender System -- Combining Web Usage Mining and XML Mining in a Real Case Study -- Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web -- Discovering User Profiles from Semantically Indexed Scientific Papers -- Web Usage Mining in Noisy and Ambiguous Environments: Exploring the Role of Concept Hierarchies, Compression, and Robust User Profiles -- From World-Wide-Web Mining to Worldwide Webmining: Understanding People?s Diversity for Effective Knowledge Discovery -- Aspect-Based Tagging for Collaborative Media Organization -- Contextual Recommendation. 330 $aThe World Wide Web is a rich source of information about human behavior. It containslarge amount of data organizedvia interconnected Web pages,traces of information search, user feedback on items of interest, etc. In addition to large data volumes, one of the important characteristics of the Web is its dynamics, where content,structure and usagearechanging over time. This showsup in the rise of related research areas like communities of practice, knowledge mana- ment, Web communities, and peer-to-peer. In particular the notion of colla- rative work and thus the need of its systematic analysis become more and more important. For instance, to develop e?ective Web applications, it is essential to analyze patterns hidden in the usage of Web resources, their contents and their interconnections. Machine learning and data mining methods have been used extensively to ?nd patterns in usage of the network by exploiting both contents and link structures. We have investigated these topics in a series of workshops on Semantic Web Mining (2001, 2002) at the European Conference on Machine Learning / Pr- ciples and Practice of Knowledge Discovery from Databases (ECML/PKDD) conference series, in the selection of papers for the post-proceedings of the - ropean Web Mining Forum 2003 Workshop, published as the Springer LNAI volume 3209 ?Web Mining: From Web to Semantic Web? in 2004, as well as in the Knowledge Discovery and Ontologies workshop in 2004 and in the selection ofpapersfor thepost-proceedingsofthe ECML/PKDD2005jointworkshopson Web Mining (European Web Mining Forum) and on Knowledge Discovery and. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence ;$v4737. 517 3 $aWebMine 2006 517 3 $aWorkshop on Web Mining 606 $aData mining$vCongresses 606 $aInternet searching$vCongresses 606 $aInternet users$vCongresses 606 $aWeb usage mining$vCongresses 606 $aWorld Wide Web$vCongresses 615 0$aData mining 615 0$aInternet searching 615 0$aInternet users 615 0$aWeb usage mining 615 0$aWorld Wide Web 676 $a006.3 702 $aBerendt$b Bettina 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910485021403321 996 $aFrom Web to social Web$92830133 997 $aUNINA