Abstract: A 3D printing apparatus can include a base composite material channel configured to pass a base composite material therethrough, a fiber strand channel configured to pass a fiber strand therethrough, and a fiber feeding component configured to feed the fiber strand through the fiber channel. The fiber strand can be separate from the base composite material before entering the 3D printing apparatus, and the fiber feeding component can facilitate combining of the fiber strand with the base composite material to form a layer of a 3D printed building component with the fiber strand within the base composite material. An impregnation material channel may be included to pass an impregnation liquid or material to impregnate the fiber strand while the fiber strand is within the 3D printing apparatus.

Abstract: A composition for a 3D printing construction material includes an acrylate oligomer, an acrylate monomer, a UV photoinitiator, a flame retardant, fillers, and additives. In the composition, the acrylate oligomer may be between about 0-30.0 wt % of the composition. The acrylate monomer may be between about 0-30.0 wt % of the composition. The UV photoinitiator may be between about 0.02-1.0 wt % of the composition. The flame retardant may be between about 2.0-20.0 wt % of the composition. The fillers may be between about 20.0-80.0 wt % of the composition. The additives may be between about 0-3.0 wt % of the composition. A method for manufacturing a composition for a 3D printing construction material includes combining an acrylate oligomer, an acrylate monomer, an Uaphotoinitiator, a flame retardant, fillers, and additives.

Abstract: A 3D printing apparatus can include a base composite material channel configured to pass a base composite material therethrough, a fiber strand channel configured to pass a fiber strand therethrough, and a fiber feeding component configured to feed the fiber strand through the fiber channel. The fiber strand can be separate from the base composite material before entering the 3D printing apparatus, and the fiber feeding component can facilitate combining of the fiber strand with the base composite material to form a layer of a 3D printed building component with the fiber strand within the base composite material. An impregnation material channel may be included to pass an impregnation liquid or material to impregnate the fiber strand while the fiber strand is within the 3D printing apparatus.

Abstract: A method, system, and computer program product for generating and using a user semantic dictionary for natural language involving receiving a user dictionary element definition associated with a user ontological object; generating the user semantic dictionary based on the user dictionary element definition, analyzing by a hardware processor the user-provided text to identify a portion of the user-provided text matching the semantic-syntactic data; generating a node in a semantic-syntactic tree, and further natural language processing of the user-provided text using the generated semantic-syntactic tree. The semantic-syntactic tree includes connected nodes, including references to the user ontological object or a reference to the first semantic dictionary structure. The generated user semantic dictionary includes a semantic dictionary structure with semantic-syntactic data and an identifier of the user ontological object.

Abstract: A method, system, and computer program product for generating and using a user ontological model for natural language processing of user-provided text, including receiving definitions of user ontological objects and generating user ontological models. A semantic-syntactic tree generated from user-provided text is analyzed. Information objects based on the user ontological objects are generated by the analysis.

Abstract: A method, system, and computer program product for generating and using a user semantic dictionary for natural language involving receiving a user dictionary element definition associated with a user ontological object; generating the user semantic dictionary based on the user dictionary element definition, analyzing by a hardware processor the user-provided text to identify a portion of the user-provided text matching the semantic-syntactic data; generating a node in a semantic-syntactic tree, and further natural language processing of the user-provided text using the generated semantic-syntactic tree. The semantic-syntactic tree includes connected nodes, including references to the user ontological object or a reference to the first semantic dictionary structure. The generated user semantic dictionary includes a semantic dictionary structure with semantic-syntactic data and an identifier of the user ontological object.

Abstract: A method, system, and computer program product for generating and using a user ontological model for natural language processing of user-provided text, including receiving definitions of user ontological objects and generating user ontological models. A semantic-syntactic tree generated from user-provided text is analyzed. Information objects based on the user ontological objects are generated by the analysis.