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Category:   E-CFP
Subject:   1st International Workshop on Knowledge Extraction and Consolidation from Social Media (KECSM2012)
From:  
Email:   d.maynard_(on)_dcs.shef.ac.uk
Date received:   31 May 2012
Deadline:   31 Jul 2012
Start date:   11 Nov 2012

[Apologies for cross-posting] ==================================== 1st International Workshop on Knowledge Extraction and Consolidation from Social Media (KECSM2012) - http://blogs.ecs.soton.ac.uk/knowledgeextraction/ - In conjunction with the 11th International Semantic Web Conference (ISWC2012), Boston, 11/12 November 2012 IMPORTANT DATES ==================================== * Jul 31, 2012: submission deadline full & short papers * Aug 21, 2012: notifications for research papers * Sep 10, 2012: camera-ready papers due * Oct 05, 2012: submission deadline poster & demo abstracts * Oct 10, 2012: notifications posters & demos OVERVIEW ======== The main focus of this workshop is on innovative approaches to knowledge extraction and consolidation from unstructured social media, in particular from degraded user-generated content (text, images, video) such as tweets, blog posts, forums and user-generated visual media. KECSM will gather novel works from the fields of (a) data analysis and knowledge extraction, and (b) data enrichment, interlinking and consolidation. It will equally consider the application perspective, such as the innovative use of extracted knowledge to navigate, explore or visualise previously unstructured and disparate Web content. OBJECTIVES & TOPICS =================== The workshop aims to become a highly interactive research forum for exploring innovative approaches for extracting and correlating knowledge from (degraded) social media by exploiting the Web of Data. While the workshop’s general focus is on the creation of well-formed and well-interlinked structured data from highly unstructured Web content, its interdisciplinary scope will bring together researchers and practitioners from areas such as the semantic and social Web, text mining and NLP, multimedia analysis, data extraction and integration, and ontology and data mapping. The workshop will also look into innovative applications that exploit extracted knowledge in order to produce solutions to domain-specific needs. We will welcome high-quality papers about current trends in the areas listed in the following, non-exhaustive list of topics. We will seek application-oriented, as well as more theoretical papers and position papers. 1. Knowledge detection and extraction (content perspective) * Knowledge extraction from text (NLP, text mining) * Dealing with scalability and performance issues with regard to large amounts of heterogeneous content * Multilinguality issues * Knowledge extraction from multimedia (image and video analysis) * Sentiment detection and opinion mining from text and audiovisual content * Detection and consideration of temporal and dynamics aspects * Dealing with degraded Web content 2. Knowledge enrichment, aggregation and correlation (data perspective) * Modelling of events and entities such as locations, organisations, topics, opinions * Representation of temporal and dynamics-related aspects * Data clustering and consolidation * Data enrichment based on linked data/semantic web * Using reference datasets to structure, cluster and correlate extracted knowledge * Evaluation of automatically extracted data 3. Exploitation of automatically extracted knowledge/data (application perspective) * Applications which make use of automatically extracted data (e.g. for recommendation or personalisation of Web content) * Semantic search in annotated Web content * Entity-driven navigation of user-generated content * Novel navigation and visualisation of extracted knowledge/graphs and associated Web resources SUBMISSION AND PUBLICATION ========================== The workshop will accept poster or demonstration abstracts (max. 2 pages), short position papers (max. 6 pages) and longer technical papers not exceeding 15 pages. Papers should follow the Springer LNCS proceedings style. Each submission will be reviewed by at least 3 members of the PC. Papers should be submitted via the KECSM2012 Easychair installation at https://www.easychair.org/conferences/?conf=kecsm2012. The main workshop proceedings will be published as a volume at CEUR Workshop Proceedings. A best paper award iscluk <cluk_(at)_dcs.shef.ac.uk> kindly sponsored by the European project ARCOMEM (http://www.arcomem.eu). WORKSHOP ORGANIZERS =================== * Diana Maynard, University of Sheffield (United Kingdom); * Stefan Dietze, L3S Research Center (Germany); * Wim Peters, University of Sheffield (United Kingdom); * Jonathon Hare, Southampton University (United Kingdom) PROGRAMME COMMITTEE =================== * Sofia Angeletou, BBC, United Kingdom (tbc) * Harith Alani, The Open University, United Kingdom * Lora Aroyo, Free University of Amsterdam, The Netherlands (tbc) * Sören Auer, University of Leipzig, Germany * Uldis Bojars, University of Latvia, Latvia * John Breslin, NUIG, Ireland * Dan Brickley, W3C & Free University of Amsterdam, The Netherlands (tbc) * Mathieu d’Aquin, The Open University, United Kingdom * Daniela Giordano, University of Catania, Italy * Alejandro Jaimes, Yahoo! Research Barcelona, ES * Paul Lewis, University of Southampton, United Kingdom * Veronique Malaise, Elsevier, The Netherlands * Pavel Mihaylov, Ontotext, Bulgaria * Wolfgang Nejdl, L3S Research Center, Germany * Jose San Pedro, Penn State University, USA/Telefonica Research, Spain * Thomas Risse, L3S Research Center, Germany * Matthew Rowe, The Open University, United Kingdom * Claus Stadler, University of Leipzig, Germany * Milan Stankovic, Hypios, France * Thomas Steiner, Google Germany, Germany * Nina Tahmasebi, L3S Research Center, Germany * Raphael Troncy, Eurecom, France * Anita de Waard, Elsevier, The Netherlands * Claudia Wagner, Joanneum Research, Austria For further questions please contact the organisers via kecsm2012_(at)_easychair.org __________________________________________ - ELSNET mailing list Elsnet-list_(at)_elsnet.org - To manage your subscription go to: http://mailman.elsnet.org/mailman/listinfo/elsnet-list
 

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