Semantics, Web and Mining: Joint International Workshop, EWMF 2005 and KDO 2005, Porto, Portugal, October 3-7, 2005, Revised Selected Papers (Lecture Notes in Computer Science, 4289)

Finding knowledge - or meaning - in data is the goal of every knowledge d- covery e?ort. Subsequent goals and questions regarding this knowledge di?er amongknowledgediscovery(KD) projectsandapproaches. Onecentralquestion is whether and to what extent the meaning extracted from the data is expressed in a formal way that allows not only humans but also machines to understand and re-use it, i. e., whether the semantics are formal semantics. Conversely, the input to KD processes di?ers between KD projects and approaches. One central questioniswhetherthebackgroundknowledge, businessunderstanding, etc. that the analyst employs to improve the results of KD is a set of natural-language statements, a theory in a formal language, or somewhere in between. Also, the data that are being mined can be more or less structured and/or accompanied by formal semantics. These questions must be asked in every KD e?ort. Nowhere may they be more pertinent, however, than in KD from Web data ("Web mining"). This is due especially to the vast amounts and heterogeneity of data and ba- ground knowledge available for Web mining (content, link structure, and - age), and to the re-use of background knowledge and KD results over the Web as a global knowledge repository and activity space. In addition, the (Sem- tic) Web can serve as a publishing space for the results of knowledge discovery from other resources, especially if the whole process is underpinned by common ontologies A Website Mining Model Centered On User Queries / Ricardo Baeza-yates And Barbara Poblete -- Wordnet-based Word Sense Disambiguation For Learning User Profiles / Marco Degemmis, Pasquale Lops And Giovanni Semeraro -- Visibility Analysis On The Web Using Co-visibilities And Semantic Networks / Peter Kiefer, Klaus Stein And Christoph Schlieder -- Link-local Features For Hypertext Classification / Herve Utard And Johannes Furnkranz -- Information Retrieval In Trust-enhanced Document Networks / Klaus Stein And Claudia Hess -- Semi-automatic Creation And Maintenance Of Web Resources With Webtopic / Nuno F. Escudeiro And Alipio M. Jorge -- Discovering A Term Taxonomy From Term Similarities Using Principal Component Analysis / Holger Bast, Georges Dupret, Debapriyo Majumdar And Benjamin Piwowarski -- Semi-automatic Construction Of Topic Ontologies / Blaz Fortuna, Dunja Mladenic And Marko Grobelnik -- Evaluation Of Ontology Enhancement Tools / Myra Spiliopoulou, Markus Schaal, Roland M. Mutter And Marko Brunzel -- Introducing Semantics In Web Personalization : The Role Of Ontologies / Magdalini Eirinaki, Dimitrios Mavroeidis, George Tsatsaronis And Michalis Vazirgiannis -- Ontology-enhanced Association Mining / Vojtech Svatek, Jan Ranch And Martin Ralbovsky -- Ontology-based Rummaging Mechanisms For The Interpretation Of Web Usage Patterns / Mariangela Vanzin And Karin Becker. Markus Ackermann ... [et Al.] (eds.). ... A Workshop On Web Mining (european Web Mining Forum) And A Workshop On Knowledge Discovery And Ontologies ... Both Workshops: Kdo 2005 And Ewmf 2005.--pref. International Conference Proceedings. Includes Bibliographical References And Index. Also Issued Online. Frontmatter EWMF Papers A Website Mining Model Centered on User Queries WordNet-Based Word Sense Disambiguation for Learning User Profiles Visibility Analysis on the Web Using Co-visibilities and Semantic Networks Link-Local Features for Hypertext Classification Information Retrieval in Trust-Enhanced Document Networks Semi-automatic Creation and Maintenance of Web Resources with webTopic KDO Papers on KDD for Ontology Discovering a Term Taxonomy from Term Similarities Using Principal Component Analysis Semi-automatic Construction of Topic Ontologies Evaluation of Ontology Enhancement Tools KDO Papers on Ontology for KDD Introducing Semantics in Web Personalization: The Role of Ontologies Ontology-Enhanced Association Mining Ontology-Based Rummaging Mechanisms for the Interpretation of Web Usage Patterns Backmatter