In contrast, Linked Open Data (LOD) provides some huge open knowledge bases in which lots of materials knowledge is hidden.
The research and development of metallic materials are playing an important role in today's society, and in the meanwhile lots of metallic materials knowledge is generated and available on the Web (e.g., Wikipedia) for materials experts.
Unquestionably, computers and telecommunications provide access to information, data, documents and other materials, but knowledge is something else.
As the thermal stress of a substrate is a key parameter in many different plasma applications, in particular, for temperature-sensitive materials, detailed knowledge is needed for the optimization of processes involving these sources.
To improve the deconstruction of biomass, the most abundant terrestrial source of carbon polymers, en route to renewable fuels, chemicals, and materials more knowledge is needed into the mechanistic interplay between thermochemical pretreatment and enzymatic hydrolysis.
The implicit material selection knowledge is represented as a set of labeled instances and RDF instance graphs in terms of the concept model, which provides a formal approach to organizing the captured material selection knowledge.
With patient-specific implant modeled and simulated, rule-based methods, Genetic Algorithm (GA) and material knowledge bases are used to perform multi-objective optimization of the material composition for additive manufacturing.
Then, based on these obtained concepts, the metallic materials knowledge and related knowledge is extracted according to the structural features of Yago, so as to acquire a metallic materials ontology (named MMOY).
At the beginning of An Essay Concerning Human Understanding Locke says that since his purpose is "to enquire into the Original, Certainty and Extant of human knowledge, together with the grounds and degrees of Belief, Opinion and Assent" he is going to begin with ideas — the materials out of which knowledge is constructed.
His ability to read quickly, recognize novel insights, digest new material, and then integrate the knowledge were the hallmarks of his scientific work style.
