Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Semiotics in information systems engineering
Semiotics in information systems engineering
Data modelling versus ontology engineering
ACM SIGMOD Record
Semantic Commitment for Designing Ontologies: A Proposal
EKAW '02 Proceedings of the 13th International Conference on Knowledge Engineering and Knowledge Management. Ontologies and the Semantic Web
Semantic Ontology Tools in IS Design
ISMIS '99 Proceedings of the 11th International Symposium on Foundations of Intelligent Systems
The pragmatic web: a manifesto
Communications of the ACM - Two decades of the language-action perspective
Proceedings of the 15th international conference on World Wide Web
Formalizing the evolution of virtual communities
Information Systems
Context dependency management in ontology engineering: a formal approach
Journal on data semantics VIII
DOGMA-MESS: a meaning evolution support system for interorganizational ontology engineering
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
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The key objective of communal knowledge sharing at the scale of the World Wide Web is the ability to collaborate and integrate within and between communities. Ontologies, being formal, computer-based specifications of shared conceptualisations of the worlds under discussion, are instrumental in this process by providing shared semantic resources. To this end, the pragmatic aspects of the exchange of knowledge and information are crucial. Pragmatics represent the intentions, motivations and methodologies of the persons involved and need to become formalised and unambiguous for effective exchange to occur. On the one hand, this is something that humans manage fluently in their daily face-to-face social discourses. On the other hand, as contemporary knowledge engineering methods consider only the non-human system parts, they usually focus on mere syntactic aspects of concept modelling. The elicitation (semantics) and application (pragmatics) context are often weak or even ignored. This paper aims to bridge this gap between "reality" and its modelling concepts by (i) transcending knowledge engineering methods to a semiotics view on contextualised communal knowledge engineering and sharing; and (ii) by presenting the DOGMA ontology framework and how it provides extension points to this semiotics engineering.