Semantic hierarchical grouping of text fragments

A system for assigning tasks to a robot device, comprising:

• one or more computers with executable instructions that when executed cause the system to:
• extract sub-terms from a plurality of input text fragments according to a lexical sub-term hierarchy;
• match each of the sub-terms in the lexical sub-term hierarchy with concepts based on an ontology of concepts representing a domain knowledge;
• wherein the matching further includes assigning a concept score, at a first time, to each of the sub-terms matched with a respective concept, and identifying synonymous nodes between matching sub-terms within differing levels of the lexical sub-term hierarchy to create a virtual concept, wherein the virtual concept comprises the synonymous nodes which include each one of the sub-terms sharing an identical matching concept, the virtual concept including an alphanumeric concept identifier aggregated from each of a plurality of arbitrary alphanumeric concept identifiers, incorporating the concept score, associated with the respective sub-terms sharing the identical matching concept;
• responsive to matching each of the sub-terms in the lexical sub-term hierarchy with the concepts and creating the virtual concept incorporating the sub-terms sharing the identical matching concept, re-score, at a second time, the concept score according to an average depth of the concepts within the lexical sub-term hierarchy;
• wherein, for each level of the lexical sub-term hierarchy, the re-scoring adds a predetermined value to an assigned root term token count and subtracts the predetermined value from a sub-term token count to determine the average depth;
• automatically group the plurality of input text fragments into a hierarchy of concepts based on the matching, lexical sub-terms hierarchical relationships, and semantic relationships between matched concepts;
• validate, by input from a user received through a user interface, an output of the hierarchy of concepts presented via the user interface;
• upon receiving input from the user that the hierarchy of concepts in invalid, modify the output of the hierarchy of concepts by one of:
• moving one or more nodes of the hierarchy of concepts, deleting one or more nodes of the hierarchy of concepts, or renaming one or more of the concepts;
• and
• present instructions to the user via the user interface for using the output of the hierarchy of concepts for a clustering operation.

A computer program product for, by a processor, facilitating recording images to improve quality, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

• an executable portion that extracts sub-terms from a plurality of input text fragments according to a lexical sub-term hierarchy;
• an executable portion that matches each of the sub-terms in the lexical sub-term hierarchy with concepts based on an ontology of concepts representing a domain knowledge;
• wherein the matching further includes assigning a concept score, at a first time, to each of the sub-terms matched with a respective concept, and identifying synonymous nodes between matching sub-terms within differing levels of the lexical sub-term hierarchy to create a virtual concept, wherein the virtual concept comprises the synonymous nodes which include each one of the sub-terms sharing an identical matching concept, the virtual concept including an alphanumeric concept identifier aggregated from each of a plurality of arbitrary alphanumeric concept identifiers, incorporating the concept score, associated with the respective sub-terms sharing the identical matching concept;
• an executable portion that, responsive to matching each of the sub-terms in the lexical sub-term hierarchy with the concepts and creating the virtual concept incorporating the sub-terms sharing the identical matching concept, re-scores, at a second time, the concept score according to an average depth of the concepts within the lexical sub-term hierarchy;
• wherein, for each level of the lexical sub-term hierarchy, the re-scoring adds a predetermined value to an assigned root term token count and subtracts the predetermined value from a sub-term token count to determine the average depth;
• an executable portion that automatically groups the plurality of input text fragments into a hierarchy of concepts based on the matching, lexical sub-terms hierarchical relationships, and semantic relationships between matched concepts;
• an executable portion that validates, by input from a user received through a user interface, an output of the hierarchy of concepts presented via the user interface;
• an executable portion that, upon receiving input from the user that the hierarchy of concepts in invalid, modifies the output of the hierarchy of concepts by one of:
• moving one or more nodes of the hierarchy of concepts, deleting one or more nodes of the hierarchy of concepts, or renaming one or more of the concepts;
• and
• an executable portion that presents instructions to the user via the user interface for using the output of the hierarchy of concepts for a clustering operation.