Abstract: The present disclosure provides a system for processing ultramafic material. The system may comprise a reactor for accelerating weathering of said ultramafic material. The reactor may comprise one or more chambers comprising one or more microbes, biological medicators, or enzymatic accelerants to facilitate the weathering of the ultramafic material.

Abstract: Systems and methods for coordinating components can include: determining, by a first application executing on a client device, a need to perform a sharable functional task; identifying a first software component installed on the client device and capable of performing a first variation of the sharable functional task; identifying a second software component installed on the client device and capable of performing a second variation of the sharable functional task, wherein the second variation of the sharable functional task is functionally overlapping with and not identical to the first variation; identifying a set of characteristics of both the first software component and the second software component; selecting the second software component for performing the sharable functional task based on the set of characteristics, where the set of characteristics includes at least a version number; and delegating performance of the sharable functional task to the second software component.

Abstract: Systems and methods for coordinating components can include: determining, by a first application executing on a client device, a need to perform a sharable functional task; identifying a first software component installed on the client device and capable of performing a first variation of the sharable functional task; identifying a second software component installed on the client device and capable of performing a second variation of the sharable functional task, wherein the second variation of the sharable functional task is functionally overlapping with and not identical to the first variation; identifying a set of characteristics of both the first software component and the second software component; selecting the second software component for performing the sharable functional task based on the set of characteristics, where the set of characteristics includes at least a version number; and delegating performance of the sharable functional task to the second software component.

Abstract: Systems and methods for coordinating components can include: determining, by a first application executing on a client device, a need to perform a sharable functional task; identifying a first software component installed on the client device and capable of performing a first variation of the sharable functional task; identifying a second software component installed on the client device and capable of performing a second variation of the sharable functional task, wherein the second variation of the sharable functional task is functionally overlapping with and not identical to the first variation; identifying a set of characteristics of both the first software component and the second software component; selecting the second software component for performing the sharable functional task based on the set of characteristics, where the set of characteristics includes at least a version number; and delegating performance of the sharable functional task to the second software component.

Abstract: Embodiments described herein provide approaches for validating synonyms in ontology driven natural language processing. Specifically, an approach is provided for receiving a user input containing a token, structuring the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, designating the token as a synonym of one of the set of related permutations, annotating the token with a class from the set of classes corresponding to the one of the set of related permutations, and validating the annotation of the token by determining an accuracy of the designation of the token as a synonym of the one of the set of related permutations. In one embodiment, the accuracy is determined by quantifying a linear distance between the token and a contextual token also within the user input, and comparing the linear distance to a pre-specified linear distance limit.

Abstract: Embodiments described herein provide approaches for validating synonyms in ontology driven natural language processing. Specifically, an approach is provided for receiving a user input containing a token, structuring the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, designating the token as a synonym of one of the set of related permutations, annotating the token with a class from the set of classes corresponding to the one of the set of related permutations, and validating the annotation of the token by determining an accuracy of the designation of the token as a synonym of the one of the set of related permutations. In one embodiment, the accuracy is determined by quantifying a linear distance between the token and a contextual token also within the user input, and comparing the linear distance to a pre-specified linear distance limit.

Abstract: Systems and methods for coordinating components can include: determining, by a first application executing on a client device, a need to perform a sharable functional task; identifying a first software component installed on the client device and capable of performing a first variation of the sharable functional task; identifying a second software component installed on the client device and capable of performing a second variation of the sharable functional task, wherein the second variation of the sharable functional task is functionally overlapping with and not identical to the first variation; identifying a set of characteristics of both the first software component and the second software component; selecting the second software component for performing the sharable functional task based on the set of characteristics, where the set of characteristics includes at least a version number; and delegating performance of the sharable functional task to the second software component.

Abstract: Embodiments described herein provide approaches for validating synonyms in ontology driven natural language processing. Specifically, an approach is provided for receiving a user input containing a token, structuring the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, designating the token as a synonym of one of the set of related permutations, annotating the token with a class from the set of classes corresponding to the one of the set of related permutations, and validating the annotation of the token by determining an accuracy of the designation of the token as a synonym of the one of the set of related permutations. In one embodiment, the accuracy is determined by quantifying a linear distance between the token and a contextual token also within the user input, and comparing the linear distance to a pre-specified linear distance limit.

Abstract: A system and method for coordinating security components, including: determining, by an application executing on a client device, a need to perform a sharable functional task; identifying a first security component and a second security component installed on the client device and capable of performing variations of the sharable functional task, where variations of the sharable functional task are functionally overlapping and not identical; identifying a set of characteristics characterizing the first security component and the second security component; selecting the second security component as a primary security component for performing a variation of the sharable functional task based on the set of characteristics; delegating, by one or more processors, performance of the sharable functional task to the primary security component; and instructing the processors to cause functionality associated with the first security component to be at least partially suspended.

Abstract: Embodiments described herein provide approaches for validating synonyms in ontology driven natural language processing. Specifically, an approach is provided for receiving a user input containing a token, structuring the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, designating the token as a synonym of one of the set of related permutations, annotating the token with a class from the set of classes corresponding to the one of the set of related permutations, and validating the annotation of the token by determining an accuracy of the designation of the token as a synonym of the one of the set of related permutations. In one embodiment, the accuracy is determined by quantifying a linear distance between the token and a contextual token also within the user input, and comparing the linear distance to a pre-specified linear distance limit.

Abstract: Embodiments described herein provide approaches for validating synonyms in ontology driven natural language processing. Specifically, an approach is provided for receiving a user input containing a token, structuring the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, designating the token as a synonym of one of the set of related permutations, annotating the token with a class from the set of classes corresponding to the one of the set of related permutations, and validating the annotation of the token by determining an accuracy of the designation of the token as a synonym of the one of the set of related permutations. In one embodiment, the accuracy is determined by quantifying a linear distance between the token and a contextual token also within the user input, and comparing the linear distance to a pre-specified linear distance limit.

Abstract: In various embodiments, the present disclosure relates generally to a game including a path of different symbol display positions. The gaming system generates one or more symbols (and/or one or more awards) at one or more of the symbol display positions of a matrix or grid. The gaming system then randomly forms a path including a plurality of the symbol display positions and determines an award for the player based on which symbol display positions are included in the formed path.

Abstract: A system and method for coordinating security components, including: determining, by an application executing on a client device, a need to perform a sharable functional task; identifying a first security component and a second security component installed on the client device and capable of performing variations of the sharable functional task, where variations of the sharable functional task are functionally overlapping and not identical; identifying a set of characteristics characterizing the first security component and the second security component; selecting the second security component as a primary security component for performing a variation of the sharable functional task based on the set of characteristics; delegating, by one or more processors, performance of the sharable functional task to the primary security component; and instructing the processors to cause functionality associated with the first security component to be at least partially suspended.

Abstract: A system and method including: determining, by a manager module, a need to determine a primary software component of a client device; identifying a first software component and a second software component of the client device; identifying a set of characteristics of the first software component and the second software component; determining that the first software component is the primary software component based on the set of characteristics of each software component, where determining the primary software component further includes comparing the set of characteristics of each software component and selecting the primary software component based on the set of characteristics with a highest priority; and instructing, by the manager module, the one or more processors to cause functionality associated with the second software component to be at least partially suspended.

Abstract: In various embodiments, the present disclosure relates generally to a game including a path of different symbol display positions. The gaming system generates one or more symbols (and/or one or more awards) at one or more of the symbol display positions of a matrix or grid. The gaming system then randomly forms a path including a plurality of the symbol display positions and determines an award for the player based on which symbol display positions are included in the formed path.

Abstract: In various embodiments, the present disclosure relates generally to a game including a path of different symbol display positions. The gaming system generates one or more symbols (and/or one or more awards) at one or more of the symbol display positions of a matrix or grid. The gaming system then randomly forms a path including a plurality of the symbol display positions and determines an award for the player based on which symbol display positions are included in the formed path.

Abstract: A system and method including: determining, by a manager module, a need to determine a primary software component of a client device; identifying a first software component and a second software component of the client device; identifying a set of characteristics of the first software component and the second software component; determining that the first software component is the primary software component based on the set of characteristics of each software component, where determining the primary software component further includes comparing the set of characteristics of each software component and selecting the primary software component based on the set of characteristics with a highest priority; and instructing, by the manager module, the one or more processors to cause functionality associated with the second software component to be at least partially suspended.

Abstract: A natural language processing system and method resolves partial matches when a natural language input query does not fully specify an entity. The input query is tokenized into a set of query tokens, which are compared to contents of a searchable index, the contents representing entities, each of which is tokenized into a set of entity tokens associated with the tokenized entity. A plurality of partial match query tokens are identified from the set of query tokens, each partial match query token matching at least one entity token in the index. The entity(s) corresponding to each partial match query token are selected if a sequential break exists in the input query between the partial match query tokens and there is no intersection between the entity(s) corresponding to each partial match query token.

Abstract: In various embodiments, the present disclosure relates generally to a game including a path of different symbol display positions. The gaming system generates one or more symbols (and/or one or more awards) at one or more of the symbol display positions of a matrix or grid. The gaming system then randomly forms a path including a plurality of the symbol display positions and determines an award for the player based on which symbol display positions are included in the formed path.

Abstract: Embodiments described herein provide approaches for validating synonyms in ontology driven natural language processing. Specifically, an approach is provided for receiving a user input containing a token, structuring the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, designating the token as a synonym of one of the set of related permutations, annotating the token with a class from the set of classes corresponding to the one of the set of related permutations, and validating the annotation of the token by determining an accuracy of the designation of the token as a synonym of the one of the set of related permutations. In one embodiment, the accuracy is determined by quantifying a linear distance between the token and a contextual token also within the user input, and comparing the linear distance to a pre-specified linear distance limit.