Cambridge Journals Online (CJO) is the e-publishing service for over 230 journals published by Cambridge University Press and is entirely developed and hosted in-house. The platform's powerful capacity and reliable performance are maintained by a combination of our own expertise and a process of consultation with the library and research communities. With the help of these stakeholders, we maintain CJO as an industry-leading e-publishing service.
Classical knowledge representation methods traditionally work with established relations such as synonymy, hierarchy and unspecified associations. Recent developments like
ontologies and folksonomies show new forms of collaboration, indexing and knowledge representation and encourage the reconsideration of standard knowledge relationships. In a
summarizing overview we show which relations are currently utilized in elaborated knowledge representation methods and which may be inherently hidden in folksonomies and ontologies.
This paper presents a work in progress whose
purpose is to model the handled, acquired, correct and
erroneous knowledge of individual learners engaged in
learning activities through virtual learning environments.
This knowledge is represented according to a cognitivecomputational
model which also serves to represent the
domain knowledge via an authoring tool. The latter
generates structures that allow the tutor to provide an
effective feedback to improve significantly the cognitive
level of the learner.
S. Kuznetsov, S. Obiedkov, and C. Roth. Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007), volume 4604 of Lecture Notes in Artificial Intelligence, page 241-254. Berlin, Heidelberg, Springer-Verlag, (July 2007)
G. Mineau, G. Stumme, and R. Wille. Conceptual Structures: Standards and Practices. Proc. ICCS '99, volume 1640 of LNAI, page 423-441. Heidelberg, Springer, (1999)
D. Lewis. HLT '91: Proceedings of the workshop on Speech and Natural Language, page 212--217. Morristown, NJ, USA, Association for Computational Linguistics, (1992)
S. Scott, and S. Matwin. Proceedings of ICML-99, 16th International Conference on Machine Learning, page 379--388. Bled, SL, Morgan Kaufmann Publishers, San Francisco, US, (1999)