Abstract:
A system and associated method for collaboratively developing information. An information delivery system for information regarding rapidly evolving software products builds an initial information set and a vocabulary. The initial information set is released for annotations on the information set by contributing users. The vocabulary defines a group of terms and respectively associated confidence level that can be used in describing annotations. An access control list may be employed in authenticating contributing users in accessing the information delivery system to assure reliability of annotations. A reliable annotation having a confidence level satisfying a threshold confidence level is integrated with the information set according to an approval by a content owner.
Abstract:
A method is provided for managing resources within an integrated development environment for multiple users. The resources include both content resources and people resources. The method comprises managing a plurality of nodes representing resources. The nodes include content nodes and person nodes. The node contains a resource reference for referencing the resource. The method comprises managing one or more links representing one or more relationships between the resources. Each link comprises node references to identify the nodes in the relationships and an importance value to identify the importance of the relationship. The method further comprises providing an interface for selecting one of the plurality of content nodes or person nodes and estimating, in response to a selected nodes, a node having a likelihood of subsequent selection based on the importance value of its link to the selected nodes. The method comprises providing an interface for selecting said estimated node.
Abstract:
Tags on documents are clustered using tag weightings of the tags on the documents. Each cluster includes an identified subject. The identified subjects are compared to identify relationships between the identified subjects. A taxonomy of subjects is built using the identified relationships between the identified subjects programmatically without user intervention.
Abstract:
A system, method and computer program for managing resources within an integrated development environment for multiple users. The resources include both content resources and people resources. The method comprises: managing a plurality of nodes representing resources, the nodes including content nodes and person nodes, wherein the node contains a resource reference for referencing the resource; managing one or more links representing one or more relationships between the resources, the links including links between content nodes, between person nodes and between content and person nodes, each link comprising node references to identify the nodes in the relationships and an importance value to identify the importance of the relationship; providing an interface for selecting one of the plurality of content nodes or person nodes; adapting, in response to the user selected node, one or more importance values of certain links.
Abstract:
A method and system for generating a taxonomy for documents from tag data are provided. The method includes obtaining tag data in the form of tags on documents with tag weightings for a document and clustering the tags using the tag weightings for documents, wherein each cluster is an identified subject. The documents are associated with each identified subject and the subjects are compared to identifying relationships between subjects to build a taxonomy of subjects. A tag weighting for a document is the number of times the tag is applied to the document with a user rating of the relevance of the tag to the document. The steps are carried out automatically without user intervention.
Abstract:
Tags on documents are clustered using tag weightings of the tags on the documents. Each cluster includes an identified subject. The identified subjects are compared to identify relationships between the identified subjects. A taxonomy of subjects is built using the identified relationships between the identified subjects programmatically without user intervention.
Abstract:
A method and system for generating a taxonomy for documents from tag data are provided. The method includes obtaining tag data in the form of tags on documents with tag weightings for a document and clustering the tags using the tag weightings for documents, wherein each cluster is an identified subject. The documents are associated with each identified subject and the subjects are compared to identifying relationships between subjects to build a taxonomy of subjects. A tag weighting for a document is the number of times the tag is applied to the document with a user rating of the relevance of the tag to the document. The steps are carried out automatically without user intervention.
Abstract:
A system and associated method for collaboratively developing information. An information delivery system for information regarding rapidly evolving software products builds an initial information set and a vocabulary. The initial information set is released for annotations on the information set by contributing users. The vocabulary defines a group of terms and respectively associated confidence level that can be used in describing annotations. An access control list may be employed in authenticating contributing users in accessing the information delivery system to assure reliability of annotations. A reliable annotation having a confidence level satisfying a threshold confidence level is integrated with the information set according to an approval by a content owner.
Abstract:
Provided are a method and a software-implemented mechanism for assisting a user of a graphical user interface (GUI) with the task of positioning an input device pointer (or otherwise indicating a position selection) when selecting a GUI element such as a button or other icon. The software identifies those GUI elements which are valid selections for the current application state and so are potentially the next element that the user will interact with. Then a predefined set of characteristics for the identified GUI elements are compared to predict which of these GUI elements will be the next GUI element that the user will interact with. The result of this prediction is indicated by moving the pointer to the position within the GUI of the predicted GUI element or by adding emphasis to the predicted GUI element. The user then decides whether this GUI element is required.
Abstract:
An inherently serial program is processed in parallel, thus leading to higher processing speeds, while maintaining a close approximation to the specific result obtained through a serial running of the program. This goal has been attained based on the fact that the desired degree of closeness between a parallel result and the serial result depends on the particular inherently serial program being run and the type of analysis being performed. That is, some inherently serial processes require a “fine-tuned” result while for others a “coarser” result is acceptable. The frequency at which the parallel branches consolidate their respective results is changed accordingly to alter the degree of closeness between the parallel processed result and the serially processed result.