International Business Machines Corporation - Armonk NY
International Classification:
G06F 7/00
US Classification:
707 3, 707100, 707101, 707102
Abstract:
A method for information item categorization in which each non-leaf node in a hierarchical organization of nodes represents a category, and each leaf node represents an information item. A number P is associated with each node. For non-leaf nodes, the associated number P is selected from a subset of relatively prime elements chosen from an appropriate Unique Factorization Domain (UFD), such as a set of relatively prime numbers which are a subset of the familiar set of integers. For leaf nodes, P is set to 1. A number M is also associated with each node. For each root node, M is set to the value of P for that node. For each non-root node, M is set to the product of the M's of all parent nodes of the node and the P of that node.
Computer Method And Apparatus For Graphical Inquiry Specification With Progressive Summary
Steven I. Ross - South Hamilton MA, US Nishanth R. Sastry - Cambridge MA, US Daniel M. Gruen - Newton MA, US Susanne C. Hupfer - Lexington MA, US John F. Patterson - Carlisle MA, US James E. Christensen - Cortlandt Manor NY, US Stephen E. Levy - Honolulu HI, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 7/00 G06F 17/30 G06F 3/00 G06F 3/048
US Classification:
707705, 707708, 715700, 715772
Abstract:
A computer method and system provides for graphical specification of inquiries and includes a corresponding progressive summary. The inquiries operate on stream data. Users graphically specify an inquiry in a graphical user interface according to an ontology. The invention system generates a plain-text translation of the graphical description of the inquiry and displays the generated plain-text description in a progressive summary in the graphical user interface. The system continually updates and generates the display of the plain-text description during user construction of the inquiry. This provides feedback to the user for improved construction of the inquiry.
Computer Method And Apparatus For Parameterized Semantic Inquiry Templates With Type Annotations
Nishanth R. Sastry - Cambridge MA, US Steven I. Ross - South Hamilton MA, US Daniel M. Gruen - Newton MA, US Susanne C. Hupfer - Lexington MA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 17/30
US Classification:
707779, 707739, 707754, 706 59
Abstract:
A computer method and system generates inquires. The method and system provide a plurality of templates. Each template outlines a respective inquiry and is associated with one or more semantic types or contexts. Each template has one or more parameters for defining a query instance of the respective inquiry. User input selects a template from the plurality and specifies values for the parameters of the user selected template. Using the user selected template and the user-specified parameter values, an instance of a query is produced. Each template, is associated with semantic types during template construction. The semantic types may be based on classes in an ontology. Template construction may include templatizing prior existing or other queries to create respective templates. In application or use of a template, query generation may be during modeling of a certain domain, and the produced query is for information about the certain domain. Parameter value selection may be automated or assisted by the system based on the model context where the template is instantiated.
Advanced Discussion Thread Management Using A Tag-Based Categorization System
Nishanth R. Sastry - Concord MA, US Alexander Kordun - Arlington MA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06F 15/16
US Classification:
709206, 707600, 709204
Abstract:
A system for discussion thread management using tag-based categorization, in which three types of tags are provided together to enable effective categorization of discussion threads, based on both automated and manual tagging. The three tag types are 1) user-defined tags, 2) moderator-promoted tags, and 3) system-generated tags. User-defined tags are arbitrarily defined by individual users and associated by users with posts to meet specific user needs. System-generated tags are automatically generated for each sub-thread to summarize a post and all the replies beneath it. System-generated tags can be promoted to a moderator-promoted tags when a moderator user verifies the correctness of a system-generated tag. The disclosed system detects topic changes in discussion threads based on the tags associated with each post in the thread. A moderator can manually examine sub-threads that have been determined to be off topic, and take appropriate actions.
Computer Method And System For Contextual Management And Awareness Of Persistent Queries And Results
Susanne C. Hupfer - Lexington MA, US Steven I. Ross - South Hamilton MA, US Daniel M. Gruen - Newton MA, US John F. Patterson - Carlisle MA, US Nishanth R. Sastry - Cambridge MA, US
Assignee:
International Business Machines Corporation - Armonk NY
Presented is a computer system and user interface for seamlessly integrating the creation and submission of persistent queries, and for collecting and presenting the real-time results of those queries, into the context of one's work and directly structured work artifacts. Users are provided a real-time awareness of what is happening to their persistent queries and their results, from within the work context of the artifact and program application used during creation and submission of the queries. Rather than having to visit a separate alerting application, the user is able to manage queries and query results directly from a subject application, such as a problem-solving application.
System And Computer Program Product For Nested Categorization Using Factorization
International Business Machines Corporation - Armonk NY
International Classification:
G06F 7/00 G06F 17/00
US Classification:
707796, 707797, 707798
Abstract:
A system for information item categorization in which each non-leaf node in a hierarchical organization of nodes represents a category, and each leaf node represents an information item. A number P is associated with each node. For non-leaf nodes, the associated number P is selected from a subset of relatively prime elements chosen from an appropriate Unique Factorization Domain (UFD), such as a set of relatively prime numbers which are a subset of the familiar set of integers. For leaf nodes, P is set to 1. A number M is also associated with each node. For each root node, M is set to the value of P for that node. For each non-root node, M is set to the product of the M's of all parent nodes of the node and the P of that node.
Method And Apparatus For Providing On-Demand Ontology Creation And Extension
Steven I. Ross - South Hamilton MA, US Daniel M. Gruen - Newton MA, US Susanne C. Hupfer - Lexington MA, US Nishanth R. Sastry - Cambridge MA, US John F. Patterson - Carlisle MA, US
Assignee:
International Business Machines Corporation - Armonk NY
International Classification:
G06N 5/00
US Classification:
706 60, 706 45
Abstract:
A computer system and method providing on-demand extension of ontology in an ontology use process. A support module responds to a creation event in the ontology use process. The support module defines ontology specification for a newly created item, in the creation event, in a manner substantially free of disruption or interruption to the ontology use process. An ontology manager incorporates the defined ontology specification into the ontology during the ontology use process such that an on-demand extension of the ontology results. One example ontology use process is semantic modeling of situations, organizations, or objects of interest. Modeling and ontology specification take place hand in hand, and the ontology is extended on an as-needed and on-demand fashion during the course of modeling.
A system for information item categorization in which each non-leaf node in a hierarchical organization of nodes represents a category, and each leaf node represents an information item. A number P is associated with each node. For non-leaf nodes, the associated number P is selected from a subset of relatively prime elements chosen from an appropriate Unique Factorization Domain (UFD), such as a set of relatively prime numbers which are a subset of the familiar set of integers. For leaf nodes, P is set to 1. A number M is also associated with each node. For each root node, M is set to the value of P for that node. For each non-root node, M is set to the product of the M's of all parent nodes of the node and the P of that node.