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Conceptual Foundations for a Service-Oriented Knowledge & Learning Architecture: Supporting Content, Process, and Ontology Maturing

by: Andreas Schmidt, Knut Hinkelmann, Stefanie Lindstaedt, Tobias Ley, Ronald Maier, and Uwe Riss

In: 8th International Conference on Knowledge Management I-KNOW 08, Graz (2008) .

Resources (URL, PDF, PS...)

URL:	http://publications.andreas.schmidt.name/IKNOW08_KS_Schmidt_MATURE.pdf

The knowledge maturing model views learning activities as embedded into, interwoven with, and even indistinguishable from everyday work processes. Learning is understood as an inherently social and collaborative activity. The Knowledge Maturing Process Model structures this process into five phases: expressing ideas, distributing in communities, formalizing, ad-hoc learning and standardization. It is applicable not only for content but also to process knowledge and semantics. In the MATURE IP two toolsets will be develop that support the maturing process: a personal learning environment and an organisation learning environment integrating the levels of individuals, communities and organisation. The development is guided by the SER theory of seeding, evolutionary growth and reseeding and is based on generally applicable maturing services.

BibTeX record

@inproceedings{SchmidtMATUREIKNOW08,
  abstract = {The knowledge maturing model views learning activities as embedded into, interwoven with, and even indistinguishable from everyday work processes. Learning is understood as an inherently social and collaborative activity. The Knowledge Maturing Process Model structures this process into five phases: expressing ideas, distributing in communities, formalizing, ad-hoc learning and standardization. It is applicable not only for content but also to process knowledge and semantics. In the MATURE IP two toolsets will be develop that support the maturing process: a personal learning environment and an organisation learning environment integrating the levels of individuals, communities and organisation. The development is guided by the SER theory of seeding, evolutionary growth and reseeding and is based on generally applicable maturing services.},
  added-at = {2008-08-28T22:59:32.000+0200},
  author = {Schmidt, Andreas and Hinkelmann, Knut and Lindstaedt, Stefanie and Ley, Tobias and Maier, Ronald and Riss, Uwe},
  biburl = {http://www.bibsonomy.org/bibtex/227f7a5d554e7f6bffb50c09bebcb4db8/mature},
  booktitle = {8th International Conference on Knowledge Management (I-KNOW 08), Graz},
  interhash = {c87dbaa7e1b8dd302c6f8fb7b28f857b},
  intrahash = {27f7a5d554e7f6bffb50c09bebcb4db8},
  keywords = {architecture content_maturing knowledge_maturing matureip ontology_maturing process_maturing service},
  pdf = {http://publications.andreas.schmidt.name/IKNOW08_KS_Schmidt_MATURE.pdf},
  timestamp = {2008-08-28T22:59:32.000+0200},
  title = {Conceptual Foundations for a Service-Oriented Knowledge & Learning Architecture: Supporting Content, Process, and Ontology Maturing},
  url = {http://publications.andreas.schmidt.name/IKNOW08_KS_Schmidt_MATURE.pdf},
  year = 2008
}

Endnote record

%0 Conference Paper
%1 SchmidtMATUREIKNOW08
%A Schmidt, Andreas
%A Hinkelmann, Knut
%A Lindstaedt, Stefanie
%A Ley, Tobias
%A Maier, Ronald
%A Riss, Uwe
%B 8th International Conference on Knowledge Management (I-KNOW 08), Graz
%D 2008
%K 
%T Conceptual Foundations for a Service-Oriented Knowledge & Learning Architecture: Supporting Content, Process, and Ontology Maturing
%U http://publications.andreas.schmidt.name/IKNOW08_KS_Schmidt_MATURE.pdf
%X The knowledge maturing model views learning activities as embedded into, interwoven with, and even indistinguishable from everyday work processes. Learning is understood as an inherently social and collaborative activity. The Knowledge Maturing Process Model structures this process into five phases: expressing ideas, distributing in communities, formalizing, ad-hoc learning and standardization. It is applicable not only for content but also to process knowledge and semantics. In the MATURE IP two toolsets will be develop that support the maturing process: a personal learning environment and an organisation learning environment integrating the levels of individuals, communities and organisation. The development is guided by the SER theory of seeding, evolutionary growth and reseeding and is based on generally applicable maturing services.

BibSonomy :: publication ::

Conceptual Foundations for a Service-Oriented Knowledge & Learning Architecture: Supporting Content, Process, and Ontology Maturing

Resources (URL, PDF, PS...)

Abstract

BibTeX record

Endnote record