Group items tagged

Making sense of the world is a ubiquitous activity, taking place around the margins of what we know. At work, your boss says, "Can you give a presentation next week on how wireless will affect our business?" Or perhaps, you join a new committee, and wonder "Who are these people? Who is in charge? What is our mission? What are we really going to do?" Maybe you move to a new neighborhood, and you try to make sense of the streets, schools, parks, shopping, and neighbors. Or you say to yourself, "I really need to get an updated cellphone-what has been happening with the current set of features, costs, plans and new gadgets?" Sensemaking can be a core professional task in itself, as for researchers, designers, or intelligence analysts. It arises when we change our place in the world or when the world changes around us. It arises when new problems, opportunities, or tasks present themselves, or when old ones resurface. It involves finding the important structure in a seemingly unstructured situation. It is an activity with cognitive and social dimensions, and has informational, communicational, and computational aspects.

Efficient assembly of social semantic networks

Comparative Interoperability Project

Solving the "digital divide" in Africa will not put food in mouths, knowledge in heads, clean water in households, or make healthcare accessible to those who need it most. Leveraging knowledge, skills, and capacities holds out the possibility of doing all of these things. This is what extending knowledge infrastructure is about: building robust and sustainable networks and communities that mobilize a broad range of information practices, institutions, and technologies (old and new) - and put these in the service of locally-defined needs, aspirations, and broad developmental goals. This report summarizes current thinking and action around African knowledge infrastructures.

Biophysical economics is characterized by a wide range of analysts from diverse fields who use basic ecological and thermodynamic principles to analyze the economic process. The history of biophysical thought is traced from the 18th-century Physiocrats to current empirical research, with emphasis on those individuals who contributed to the development of biophysical economic theory. Attention is also given to a critique of the neoclassical theory of natural resources from a biophysical perspective, and how recent empirical biophysical research highlights areas of neoclassical theory which could be improved by a more realistic and systematic treatment of natural resources.

Biophysical economics is a basis for economic analysis that acknowledges, analyzes and uses the biological and physical (as opposed to social) properties, structures and processes of real economic systems as its conceptual base and fundamental model. It acknowledges that the basis for nearly all wealth is nature, and views most human economic activity as a means to increase (directly or indirectly) the exploitation of nature to generate more wealth. As such, it focuses on the structure and function of real economies from an energy and material perspective, but often considers the relation of this structure and function to human welfare and to the money (i.e. dollar) flows that tend to go in the opposite direction to energy (Odum 1972).

OntoClean is a methodology for validating the ontological adequacy of taxonomic relationships. It is based on highly general ontological notions drawn from philosophy, like essence, identity, and unity, which are used to characterize relevant aspects of the intended meaning of the properties, classes, and relations that make up an ontology. These aspects are represented by formal metaproperties, which impose several constraints on the taxonomic structure of an ontology.

Web Science 2009 Journal

Pre-Proceedings of the Workshop on Controlled Natural Language (CNL 2009)

This is a brief sketch of the kind of upper ontology I envision to support an ontological treatment of semiotics, which in turn would support sign-based ontologies of complex systems.