- From: Claudia d'Amato <claudia.damato@di.uniba.it>
- Date: Tue, 08 Mar 2011 17:30:15 +0100
- To: destinatari-ignoti:;
- Message-ID: <4D765997.30809@di.uniba.it>
------------- Apologies for multiple cross-postings --------------------- CALL FOR PAPERS The 3rd ESWC Workshop on Inductive Reasoning and Machine Learning for the Semantic Web (IRMLeS 2011) 30 May 2011 | Heraklion, Greece http://irmles.di.uniba.it/2011/ In conjunction with the 8th Extended Semantic Web Conference (ESWC 2011) http://www.eswc2011.org Important dates ============================================================ * Paper submission: 14 March 2011 * Notification 5 April 2011 * Camera-ready: 15 April 2011 * Workshop day: 30 May 2011 Overview ============================================================ The upcoming 3rd International Workshop on Inductive Reasoning and Machine Learning for the Semantic Web (IRMLeS), will be held as part of the 8th Extended Semantic Web Conference (ESWC) in Heraklion, Crete (Greece). The primary goal of the workshop is to bring together researchers and practitioners interested in the interdisciplinary research on the intersection of the Semantic Web with Knowledge Discovery and Machine Learning. The workshop is conceived to provide a meeting point for the related communities to stimulate collaboration and enable cross-fertilization of ideas. The Semantic Web is often perceived to be a global, distributed database of meaningfully represented data, 'Web of Data'. Due to the initiatives like Linking Open Data or community efforts to integrate various ontological resources like bio-ontologies, the number of resources available on the Semantic Web is currently growing fast, and many of them are linked by explicit semantic relationships. The heterogeneity of these resources and inherently open, distributed, and incomplete nature of the Web environment pose problems for deductive approaches, traditionally employed to reason with logic-based ontological data. Therefore, new, complementary forms of reasoning are needed on the Semantic Web, such as inductive reasoning. Exploiting 'Web of Data' requires new kinds of inductive approaches that would be able to deal at the same time with its scale and with the complexity and expressivity of the representation languages, leverage on availability of ontologies and explicit semantics of the resources, and account for novel assumptions (e.g., "open world") that underlie reasoning services within the Semantic Web. Topics of interest ============================================================ The topics of interest of the workshop include, but are not limited to: * Knowledge Discovery and Ontologies: data mining techniques using ontologies, ontology mining and knowledge discovery from ontological knowledge bases, ontology-based interpretation and validation of discovered knowledge, evaluation methodologies and metrics for the interaction of knowledge discovery and ontologies, ontology-based meta mining * Inductive Reasoning with Concept Languages: inductive aggregation, concept retrieval and query answering, approximate classification, inductive methods and fuzzy reasoning for ontology mapping, construction and evolution, concept change and novelty detection for ontology evolution * Statistical learning for the Semantic Web: refinement operators for concept and rule languages, concept and rules learning, kernels and instance-based learning for structured representations, semantic (dis)similarity measures and conceptual clustering, probabilistic methods for concept and rule languages * Inductive aspects of Linked Data aggregations: learning from Linked Data to construct new vocabularies or improve existing ones, learning the mappings among vocabularies, learning for resource interlinking and entity fusion * Web mining for the Semantic Web: graph mining, link prediction, (sequential) pattern mining, learning semantic relations, ranking methods and learning to rank * Special focus topics: OWA vs CWA in learning, applicability of relational learning in the Semantic Web context, integration of induction and deduction, benchmarking of datasets * Applications: (life sciences, cultural heritage, semantic multimedia, geo-informatics, recommender systems and others) Invited speaker ============================================================ Prof. Bettina Berendt – Katholieke Universiteit Leuven Paper submission ============================================================ The contributed papers, written in English, should be submitted in PDF or PostScript format, not exceeding the following limits * 12 pages (full papers) * 5 pages (position papers) following the ESWC formatting style (Springer LNCS). All submissions will be reviewed by at least 2 referees. In addition to the ESWC workshop proceedings, a selection of best ESWC workshop papers will be published this year in LNCS series by Springer. Organizing Committee ============================================================ * Claudia d'Amato, University of Bari, Italy * Nicola Fanizzi, University of Bari, Italy * Blaz Fortuna, Jozef Stefan Institute, Slovenia * Agnieszka Lawrynowicz, Poznan University of Technology, Poland * Vojtech Svatek, University of Economics, Prague, Czech Republic Program Committee ============================================================ * Bettina Berendt - Katholieke Universiteit Leuven * Stephan Bloehdorn - Karlsruhe Institute of Technology * Ross D. King - University of Aberystwyth * Jens Lehmann - University of Leipzig * Thomas Lukasiewicz - Oxford University * Matthias Nickles - University of Bath * Achim Rettinger - Karlsruhe Institute of Technology * Thomas Scharrenbach - University of Zurich * Steffen Staab - University of Koblenz-Landau * Volker Tresp - Siemens * Joaquin Vanschoren - Leiden University Further information ============================================================ http://irmles.di.uniba.it/2011
Received on Tuesday, 8 March 2011 16:30:50 UTC