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CFP: Xperience Web 2012: Reasoning from Experiences on the Web - Workshop at WWW 2012 (Lyon, France - April 17, 2012)

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  • Saurav Sahay
    *Apologies for cross postings. Please redistribute to other interested colleagues* ... CALL FOR PAPERS Xperience Web 2012: Reasoning from Experiences on the
    Message 1 of 1 , Dec 14, 2011
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      *Apologies for cross postings. Please redistribute to other interested


      Xperience Web 2012: Reasoning from Experiences on the Web

      Workshop at WWW 2012
      April 17th 2012
      Lyon, France

      Paper Submission Deadline: 27th January 2012
      The XperiencWeb presents a new research challenge with core
      focus on a user's 'experience' seeking goals and problem solving as opposed
      to a user's 'information' seeking goals and information access.
      Such a direction is necessary given the transformative nature of the web
      from a
      document centric to an experience centric medium where unprecedented volumes
      of social media data and content repositories call for novel extraction,
      representation, retrieval and reuse strategies for problem solving
      and reasoning tasks. Typical examples of experiential content include HowTo
      web services such as StackOverflow, recommendation sites such as
      TripAdvisor and
      trails of experiential interactions captured at sites such as Quora,
      Yahoo answers, Twitter, Facebook and Delicious. Unique to such content
      are descriptions of problem situations often combined with reflective
      narratives consisting of decisions made, lessons learnt and/or opinions
      This forms a rich source of untapped experience data - an integral
      resource for reasoning from the wisdom of the crowds; a resource that can be
      exploited for problem-solving tasks.

      Accordingly the workshop aims to provide a forum to identify research
      opportunities and challenges in the use of web-related experience data
      - to enable better capture and representation of unstructured experiential
      web content;
      - to enable reuse of experiential content to help with problem-solving
      - to harness web usage experiences to improve browsing and search;
      - to showcase applications which use experiential content in novel and
      innovative ways;
      - to address How to or Why like queries as opposed to simple keyword based
      queries; and
      - to allow integration of information and interaction for reasoning tasks.

      Submission Topics
      Reasoning with web content requires interdisciplinary tools to author web
      experience along with novel indexing and reasoning schemes that
      go beyond link analysis and exploit folksonomies as well as ontologies.
      Additionally, retrieving and reusing these experiences will require
      combination techniques
      to aggregate knowledge extracted from text, multimedia, user content and
      user interactions.
      This calls for hybrid approaches that draw from, and extend, research in a
      number of
      related areas including Case-Based Reasoning (CBR), Information Retrieval
      Information Extraction (IE), Machine Learning (ML), Natural Language
      Processing (NLP),
      Text Mining, Recommender Systems and adaptive user interfaces.

      Topics will include, but not be limited to, addressing the following:

      How to harness web experiential content for reasoning tasks
      How to transform the web from a medium of content sharing to a medium of
      content reuse.
      How to express a user's experience need
      How to extract, analyse and compare people's web experiential content
      How to visualise experiential content
      How to discover and utilise issues of provenance
      How to capture and exploit user interaction for web search and browsing
      How to combine information and interaction episodes for better task
      How to evaluate systems that interface with social/web data
      How to use people/community as a resource for effective problem solving
      How to deal with noise and inconsistent knowledge (e.g. argumentation
      How to use conversation as a medium for queries and recommendations
      How to manage and use folksonomies for problem solving tasks
      How to integrate and use web resources
      How to filter and recommend web/social content using experiential knowledge
      How to quantify relevance when dealing with experiential content

      Format and Submission
      Workshop papers should be submitted using the
      ACM template http://www.acm.org/sigs/publications/proceedings-templates,
      which is the format required for the final camera-ready copy, with a maximum
      of 10 pages for full papers and 4 pages for short (position, demonstration)

      Full papers in PDF format should be submitted using the XperienceWeb
      EasyChair Conference Site:

      Important Dates
      Paper submission deadline: January 27th, 2012
      Acceptance notification: February 27th, 2012
      Camera ready paper : March 23rd, 2012
      Workshop : April 17th, 2012

      Organizing Committee
      Sarah Jane Delany, Dublin Institute of Technology, Ireland
      Saurav Sahay, Siemens USA
      Nirmalie Wiratunga, Robert Gordon University, Scotland, UK

      Program Committee
      Klaus-Dieter Althoff, German Research Center for AI, University of
      Hildesheim, Germany
      Thomas Roth-Berghofer, University of West London, UK
      Ralph Bergmann, University of Trier, Germany
      Kalina Bontcheva, University of Sheffield, UK
      Derek Bridge, University College Cork, Ireland
      Sutanu Chakraborti, Indian Institute of Technology Chennai, India
      Amelie Cordier, University of Lyon 1, France
      Conor Hayes, DERI, Ireland
      David Leake, Indiana University, USA
      Mirjam Minor, University of Trier, Germany
      Pinar Öztürk, Norwegian University of Science and Technology NTNU, Norway
      Enric Plaza, IIIA Spanish Council for Scientific Research, Spain
      Ashwin Ram, PARC, USA
      Juan A. Recio-García, Universidad Complutense de Madrid, Spain
      Barry Smith, University College Dublin, Ireland
      L Venkata Subramaniam, IBM Research, India

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