新书推介:《语义网技术体系》
作者:瞿裕忠,胡伟,程龚
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    >> 本版讨论Semantic Web(语义Web,语义网或语义万维网, Web 3.0)及相关理论,如:Ontology(本体,本体论), OWL(Web Ontology Langauge,Web本体语言), Description Logic(DL, 描述逻辑),RDFa,Ontology Engineering等。
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    发贴心情 征集论文: 知识进化与本体演化ISWC2012 Workshop

    CALL FOR PAPERS: EvoDyn 2012

    2nd Joint Workshop on Knowledge Evolution and Ontology Dynamics
    Collocated with the 11th International Semantic Web Conference (ISWC 2012)
    November 11/12th, 2012
    Boston, US

    http://www.ontologydynamics.org/od/index.php/evodyn2012

    DESCRIPTION
    ===========
    Over the course of the last decade, the Semantic Web research has engaged
    in capturing and representing global knowledge in the form of the Linked
    Data cloud and expressive distributed ontologies of various levels of
    granularity. Usually, emphasis is put on representing as up-to-date and accurate
    a state of knowledge as possible. However, an important aspect that has
    largely been overlooked, and has been treated only in a very rudimentary
    fashion so far, is the evolution of knowledge itself. Ontology dynamics
    and versioning is one aspect of this field that has been well studied,
    but only for the purposes of change-management. This is only one of many
    facets of knowledge evolution and we propose to create and foster a research
    community concerned with all aspects of how knowledge evolves and changes
    over time in the context of the Semantic Web. This includes analysis of trends
    and change in formal descriptions (i.e., ontologies), but also in associated
    raw sources of knowledge (scientific publications, unstructured or
    semi-structured web content, traditional data stores, e-mail or on-line
    discussion threads, etc.).

    EvoDyn 2012 builds on the success of the 2011 edition and on the previous
    workshops aggregated under the IWOD workshop series. EvoDyn continues in the
    tradition of IWOD in being the core annual event to discuss advances in the
    broad area of ontology dynamics, and to track recent work directly or indirectly
    related to the problem of evolving ontologies. As ontologies are formal
    representations of knowledge, the study of their dynamics is an inherent part
    of investigating the knowledge evolution phenomena, yet it is only one of many
    relevant aspects this workshop aims to cover in an integral manner.

    In particular, the workshop focuses on analysis of trends and change in formal
    descriptions (i.e., ontologies), but also in associated raw sources of knowledge
    (scientific publications, unstructured or semi-structured web content,
    traditional data stores, e-mail or on-line discussion threads, etc.). We are
    especially interested in research targeted on various states of knowledge evolution,
    such as (a) conflicts, (b) consolidation, (c) discovery, (d) paradigm shifts,
    and (e) breakthroughs. One crucial objective of better understanding these different
    states may be to study directly the underlying causes and dynamics needed to
    generate discoveries and breakthroughs. We will only be able to facilitate and
    possibly also generate such desirable situations if we can understand the process
    of how knowledge evolves. The process of how knowledge in a field grows and changes,
    crystallizes, and fractures are all areas of interest of this workshop. The same
    holds for related novel applied technologies, such as:
    * Tools for tracking the progress of knowledge from latent ideas, through hypotheses
       to well-supported facts and/or claims;
    * Methods for identifying what are the crucial fulcrum-points where a particular field
       may blossom or fail;
    * Methodologies and supporting tools for identification and reinforcement of emerging
       promising trends in various academic and/or industrial domains;
    * Platforms facilitating interconnection and cross-fertilization of related endeavors
       in isolated disciplines.

    TOPICS
    ======
    The topics of interest include, but are not limited to the following categories and
    their sub-domains.

    Foundations of Knowledge Evolution:
    * Philosophical and epistemological aspects of evolving knowledge
    * Evolving knowledge as a complex system
    * Models and ontologies for knowledge evolution
    * Models and ontologies for change management

    Temporal Aspects of Knowledge Capture:
    * Dynamic ontology learning
    * Ontology-based data mining
    * Hypothesis and claim extraction
    * Information retrieval and extraction for detecting paradigm shifts
    * Evolution of ontologies from a general purpose design to a usable application-oriented
       form

    The Representation and Reasoning of Evolving Knowledge:
    * Time representation
    * Semantic evolution and discovery
    * Temporal reasoning
    * Provenance
    * Reasoning for trend analysis
    * Reasoning for knowledge shift detection

    Knowledge Integration and Analysis Over Time:
    * Time-aware ontology alignment
    * Time-aware data integration
    * Similarity metrics for evolving knowledge
    * Detecting, managing and reconciling conflicting knowledge

    The Visualization and Presentation of Evolving Knowledge:
    * Querying for evolving knowledge
    * Browsing evolving knowledge
    * Visualizing trends, changes and paradigm shifts
    * Visual summarization of knowledge sub-domains
    * User interfaces for evolving knowledge presentation

    Possible Application Domains:
    * Genetics / Molecular Biology
    * Clinical Science
    * Biomedical informatics
    * Neuroscience / Neuroinformatics
    * Business analytics
    * Legal studies
    * Discourse analysis
    * Digital humanities

    We especially encourage submissions that integrally cover multiple above-mentioned topics.

    SUBMISSIONS
    ===========
    We accept two types of submissions:
    * Full papers - up to 12 pages
    * Position papers - up to 4 pages

    All submissions should be submitted in PDF format, via EasyChair at:
    *http://www.easychair.org/conferences/?conf=evodyn2012

    Submissions should be formatted according to the LNCS Springer format
    (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). The
    workshop proceedings will both be uploaded to CEUR (http://ceur-ws.org/)
    and placed on electronic media for distribution at the conference.

    DATES
    =====
    July 31, 2012:    Submission of papers
    August 21, 2012: Notification of acceptance/rejection
    September 10, 2012: Camera ready paper submissions

    COMMITTEES
    ==========
    Organising Committee

      * Tudor Groza, School of ITEE, The University of Queensland
      * Dimitris Plexousakis, Institute of Computer Science, FORTH, Greece
      * Vit Novacek, DERI (Digital Enterprise Research Institute), National University
        of Ireland Galway

    Steering Committee

      * Grigoris Antoniou, Institute of Computer Science, FORTH
      * Mathieu d'Aquin, Knowledge Media Institute, The Open University
      * Gully Burns, Information Sciences Institute, University of Southern California
      * Giorgos Flouris, Institute of Computer Science, FORTH
      * Carole Goble, Information Management Group, Manchester University
      * Zhisheng Huang, Division of Mathematics and Computer Science, Vrije Universiteit of
        Amsterdam
      * Jeff Z. Pan, Department of Computing Science, University of Aberdeen
      * Guilin Qi, School of Computer Science and Engineering, Southeast University, China
      * Fouad Zablith, Olayan School of Business, American University of Beirut, Lebanon

    Program Committee

    * Paul Buitelaar, DERI Galway, Ireland
    * Vinay Chaudhri, SRI International, US
    * Tim Clark, MGH, Harvard University, US
    * Yolanda Gil, ISI, University of Southern California, US
    * Jerome Euzenat, INRIA&  LIG, France
    * Lawrence Hunter, University of Colorado, US
    * Pascal Hitzler, Wright State University, US
    * Thomas Meyer, Meraka Institute, South Africa
    * Enrico Motta, Open University, UK
    * Livia Predoiu, University of Magdeburg, Germany
    * Cartic Ramakrishnan, ISI, University of Southern California, US
    * Agnes Sandor, Xerox Research Centre Europe, France
    * Kavitha Srinivas, IBM, US
    * Tania Tudorache, Stanford University, US
    * Kewen Wang, Griffith University, Australia
    * Renata Wasserman, Universidade de Sao Paolo, Brazil


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