To this end, I'm trying to establish a theory and community of practice around the discipline of "Semantic Engineering." It is the fruit of a growing understanding of the value of applied semantics, especially from a data-centric perspective, but also a recognition of the inaccessibility of the process (and work products) of semantic ontology as it exists today, and the maturing of natural language interfaces.
Several disciplines have converged around the craft of modeling and managing information and knowledge, but well intended initiatives that do actually improve the organization's understanding of itself and its needs most often end their life cycle as reference works. Semantic Engineering uses those techniques in a landscape that includes (but is not limited to) intelligent systems to align projects and organizations from intention to operation by helping us be clear about what we're doing and why in ways that enable not just clear communication, but also drive actual operational impact.
Fundamentally, though, it's about helping to ask the questions that make our intentions and interactions understandable, building those out of interconnected structures of meaning and knowledge, and using the underlying modularity/abstraction at the heart of language to build and integrate systems and organizations.
The ability to learn well and act well. How to analyse for the probable truth and make decisions about it and work with others. Sophistry and statistics, misunderstanding and misleading. Cost of no action versus further analysis. Weaknesses in human intuitive reasoning and cognition (and memory) and how to avoid them or improve them. Efficient learning techniques. Lifetime regular re-evaluation of your assumptions. How to ask for help well. How to give help well. Applied game theory, probability, exponential situations, recursion, chaos and entropy, enough numeracy and literacy to spot them. Developing and evolving your purpose. Situational awareness and change, effective mental agility, and creativity. Self limiting beliefs. Knowledge, belief, self and truth -- and other illusions you may grow out of and then back into. Other (non neurological) fundamental limits that we know of and experiences in dealing with them. Oh and detecting sarcasm would be useful though probably not as much as a threat as not understanding compound interest.
To this end, I'm trying to establish a theory and community of practice around the discipline of "Semantic Engineering." It is the fruit of a growing understanding of the value of applied semantics, especially from a data-centric perspective, but also a recognition of the inaccessibility of the process (and work products) of semantic ontology as it exists today, and the maturing of natural language interfaces.
Several disciplines have converged around the craft of modeling and managing information and knowledge, but well intended initiatives that do actually improve the organization's understanding of itself and its needs most often end their life cycle as reference works. Semantic Engineering uses those techniques in a landscape that includes (but is not limited to) intelligent systems to align projects and organizations from intention to operation by helping us be clear about what we're doing and why in ways that enable not just clear communication, but also drive actual operational impact.
Fundamentally, though, it's about helping to ask the questions that make our intentions and interactions understandable, building those out of interconnected structures of meaning and knowledge, and using the underlying modularity/abstraction at the heart of language to build and integrate systems and organizations.
Need to get you out in the world speaking on this topic - fascinating, timely, important!
The ability to learn well and act well. How to analyse for the probable truth and make decisions about it and work with others. Sophistry and statistics, misunderstanding and misleading. Cost of no action versus further analysis. Weaknesses in human intuitive reasoning and cognition (and memory) and how to avoid them or improve them. Efficient learning techniques. Lifetime regular re-evaluation of your assumptions. How to ask for help well. How to give help well. Applied game theory, probability, exponential situations, recursion, chaos and entropy, enough numeracy and literacy to spot them. Developing and evolving your purpose. Situational awareness and change, effective mental agility, and creativity. Self limiting beliefs. Knowledge, belief, self and truth -- and other illusions you may grow out of and then back into. Other (non neurological) fundamental limits that we know of and experiences in dealing with them. Oh and detecting sarcasm would be useful though probably not as much as a threat as not understanding compound interest.
Great points covered here :)
The importante of learn continuously and think critically is absolute and always actual!