Call for PhD Symposium

PhD Symposium Date:October 9th, 2012

The Symposium is open to all PhD students. Its aim is to provide PhD students with an opportunity to have their work -- even in its early stages -- presented to an international audience. Moreover, their work will be reviewed by experienced researchers one of which will play the role of a privileged advisor (a mentor).

PhD students at the beginning of their work should have at least a defined problem statement and some ideas about the solution that they want to discuss. More advanced students will have to present their research plan, their evaluation protocol and their preliminary results.

Paper outline

Submissions should be structured around the following items which are the key methodological components required for a sound research narrative:

  • Problem: describe the core problem of the PhD and motivate its relevance for the knowledge management, knowledge acquisition and knowledge representation areas.
  • State of the art: describe relevant related work and point out areas that need to be improved;
  • Proposed Approach: present the approach taken and motivate how this is novel with respect to existing work;
  • Methodology: sketch the methodology that is (or will be) adopted;
  • Evaluation protocol: the approach to be taken for evaluating the results of the work;
  • Results: describe the current status of the work and any results that have been reached so far;
  • Conclusions and future work: conclude and specify the major items of future work.


Submissions should be formatted according to Springer Verlag LNCS guidelines. They should be uploaded on the EasyChair site of the Symposium. Papers should be between 5 and 7 pages long. Accepted papers will be published online as a CEUR doctoral symposium proceedings volume


The symposium is intended for students doing their PhD in the same area as the EKAW 2012 conference (knowledge management, knowledge acquisition and knowledge representation) and in particular the following topics:

  1. Knowledge Management
    • Methodologies and tools for knowledge management
    • Knowledge sharing and distribution, collaboration
    • Best practices and lessons learned from case studies
    • Provenance and trust in knowledge management
    • Methods for accelerating take-up of knowledge management technologies
    • Corporate memories for knowledge management
    • Evolution, maintenance and preservation of knowledge
    • Web 2.0 technologies for knowledge management
    • Incentives for human knowledge acquisition (e.g. games with a purpose)
  2. Knowledge Engineering and Acquisition
    • Tools and methodologies for ontology engineering
    • Ontology design patterns
    • Ontology localization
    • Ontology alignment
    • Knowledge authoring and semantic annotation
    • Knowledge acquisition from non-ontological resources (thesauri, folksonomies etc.)
    • Semi-automatic knowledge acquisition, e.g., ontology learning
    • Mining the Semantic Web and the Web of Data
    • Ontology evaluation and metrics
    • Uncertainty and vagueness in knowledge representation
    • Dealing with dynamic, distributed and emerging knowledge
  3. Social and Cognitive Aspects of Knowledge Representation
    • Knowledge representation inspired by cognitive science
    • Synergies between humans and machines
    • Knowledge emerging from user interaction and networks
    • Knowledge ecosystems
    • Expert finding, e.g., by social network analysis
    • Trust and privacy in knowledge representation
    • Collaborative and social approaches to knowledge management and acquisition
    • Crowdsourcing in knowledge management

Important Dates:

  • Paper Submission: April 25th, 2012 May 1st, 2012
  • Notification: June 12th, 2012
  • Camera-Ready: July 6th , 2012
  • PhD Symposium:October 9th, 2012


Program Committee Members: