LEADER 05820nam 22008175 450 001 9910144348903321 005 20200630050825.0 010 $a3-540-30123-2 024 7 $a10.1007/b100615 035 $a(CKB)1000000000212561 035 $a(DE-He213)978-3-540-30123-3 035 $a(SSID)ssj0000269744 035 $a(PQKBManifestationID)11217839 035 $a(PQKBTitleCode)TC0000269744 035 $a(PQKBWorkID)10247700 035 $a(PQKB)10854675 035 $a(MiAaPQ)EBC3089051 035 $a(PPN)155180673 035 $a(EXLCZ)991000000000212561 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWeb Mining: From Web to Semantic Web $eFirst European Web Mining Forum, EWMF 2003, Cavtat-Dubrovnik, Croatia, September 22, 2003, Revised Selected and Invited Papers /$fedited by Bettina Berendt, Andreas Hotho, Dunja Mladenic, Maarten van Someren, Myra Spiliopoulou, Gerd Stumme 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (X, 206 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v3209 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-23258-3 327 $aA Roadmap for Web Mining: From Web to Semantic Web -- On the Deployment of Web Usage Mining -- Mining the Web to Add Semantics to Retail Data Mining -- Semantically Enhanced Collaborative Filtering on the Web -- Mapping Documents onto Web Page Ontology -- Mining Web Sites Using Wrapper Induction, Named Entities, and Post-processing -- Web Community Directories: A New Approach to Web Personalization -- Evaluation and Validation of Two Approaches to User Profiling -- Greedy Recommending Is Not Always Optimal -- An Approach to Estimate the Value of User Sessions Using Multiple Viewpoints and Goals -- Monitoring the Evolution of Web Usage Patterns. 330 $aIn the last years, research on Web mining has reached maturity and has broadened in scope. Two different but interrelated research threads have emerged, based on the dual nature of the Web: ? The Web is a practically in?nite collection of documents: The acquisition and - ploitation of information from these documents asks for intelligent techniques for information categorization, extraction and search, as well as for adaptivity to the interests and background of the organization or person that looks for information. ? The Web is a venue for doing business electronically: It is a venue for interaction, information acquisition and service exploitation used by public authorities, n- governmental organizations, communities of interest and private persons. When observed as a venue for the achievement of business goals, a Web presence should be aligned to the objectives of its owner and the requirements of its users. This raises the demand for understandingWeb usage, combining it with other sources of knowledge inside an organization, and deriving lines of action. ThebirthoftheSemanticWebatthebeginningofthedecadeledtoacoercionofthetwo threadsintwoaspects:(i)theextractionofsemanticsfromtheWebtobuildtheSemantic Web;and(ii)theexploitationofthesesemanticstobettersupportinformationacquisition and to enhance the interaction for business and non-business purposes. Semantic Web mining encompasses both aspects from the viewpoint of knowledge discovery. 410 0$aLecture Notes in Artificial Intelligence ;$v3209 606 $aArtificial intelligence 606 $aDatabase management 606 $aInformation storage and retrieval 606 $aApplication software 606 $aUser interfaces (Computer systems) 606 $aComputers and civilization 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aComputers and Society$3https://scigraph.springernature.com/ontologies/product-market-codes/I24040 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aInformation storage and retrieval. 615 0$aApplication software. 615 0$aUser interfaces (Computer systems) 615 0$aComputers and civilization. 615 14$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aInformation Storage and Retrieval. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aComputers and Society. 676 $a006.3 702 $aBerendt$b Bettina$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHotho$b Andreas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMladenic$b Dunja$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $avan Someren$b Maarten$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSpiliopoulou$b Myra$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStumme$b Gerd$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aEuropean Web Mining Forum 906 $aBOOK 912 $a9910144348903321 996 $aWeb Mining: From Web to Semantic Web$92272564 997 $aUNINA