This paper demonstrates the method and meaning behind argument that contemporary philosophers have found key to “de-creation” in potentiality by implementing it artwork. While creation usual sense seems imply an active attitude, de-creation implies a passive attitude of simply waiting for something from outside constructing mechanism set up gap which comes. The methods are typically representat...

Both materialization and backward-chaining as different modes of performing inference have complementary advantages and disadvantages. Materialization enables very efficient responses at query time, but at the cost of an expensive up front closure computation, which needs to be redone every time the knowledge base changes. Backward-chaining does not need such an expensive and change-sensitive p...

Big data refers to the enormous heterogeneous being produced at a brisk pace by large number of diverse generating sources. Since traditional processing technologies are unable process big efficiently, is processed using newer distributed storage and frameworks. view materialization technique queries efficiently on these It generates valuable information, which can be used take timely decisions...

This paper proposes a new life cycle assessment (LCA) statistics method to calculate the energy consumption of Chinese buildings from perspective LCA under sustainable supply chain system. We divide into materialization stage, construction and operation stage. Based on method, we obtain following findings. First, growth total building has slowed down since 2014, its share levels off, remaining ...

This perspective article illustrates that the possible applications of chitin as a material have been widely extended through use ionic liquids, which are now identified an important research field regarding chitin.

Both materialization and backward-chaining as different modes of performing inference have complementary advantages and disadvantages. Materialization enables very efficient responses at query time, but at the cost of an expensive up front closure computation, which needs to be redone every time the knowledge base changes. Backward-chaining does not need such an expensive and change-sensitive p...

We present GraphScale, a technology that empowers semantic data stores with OWL reasoning. It connects a given data store with any state of the art OWL reasoner. The underlying abstraction approach allows to efficiently perform a full materialization of the store based on sound and complete OWL 2 RL reasoning for high-performance querying.