Flashes of lightning, resounding thunder, gloomy fog, tremendous sunshine…these are the existence manifestations of the skies. The concrete visceral reviews that residing less than these skies stir inside us are the floor for person impulses, feelings, sentiments that during their interplay generate their very own ever-changing clouds. whereas our mind concentrates at the discovery of our cosmic place, at the structure of the universe, our mind's eye is expert by way of the gloomy vapors, the glimmers of fleeting mild, and the honor of the skies. Reconnoitering from the soil of human lifestyles and striving in the direction of the countless, the elan of mind's eye will get stuck up within the clouds of the skies. There in that dimness, sensory receptivity, inclinations, feelings, passionate strivings, yearnings, elevations assemble and propagate. From the “Passions of the Skies” spring innermost intuitions that nourish literature and the arts.
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Additional resources for Art, Literature, and Passions of the Skies (Analecta Husserliana, Volume 112)
In addition to cato:ThingCategory, the profiling engine supports rdf:Resource, and cto:Content that can be specified as interest objects in the UO ontology. The user profile is basically represented by a set of
2) where xmax = max i =1 ( xi ) . 3) with mcati = ϕi Sim(catI, cat(C)i). μcat is a tuning coefficient allowing to weight the importance of categories matching in the global matching calculus. According to the content ontology, a content can be linked to a category in two ways. For its main category, ϕ = 1, while for partial categories ϕ is the value specified by the proportion property. Sim is a generic similarity function for categories which is detailed below. The matching between two categories is calculated based on the similarity of their direct super-categories and on the levels of these two categories in a category i j taxonomy.
Giving a client identifier, the corresponding user profile instantiated from UO is retrieved from the profiling service through a web service call. The matchmaker module then computes a matching value for each content referred in the ESG program. This is done by comparing each content description, instantiated from CTO, with the user profile. Profiles containing few information are sufficient to get a recommendation, but obviously the more complete a profile, the more accurate will be the proposed contents.