Abstract: A computer-implemented system and method for spine group generation and arrangement are provided. A set of spine groups each having one or more spines of clusters and at least one singleton cluster is obtained. A set of concentric rings are designated in a display and at least a portion of the spine groups are placed within the concentric rings. An innermost ring includes one or more of the spine groups that are unique from the other spine groups. A primary ring includes a majority of the spine groups placed within the display and an outermost ring delineates placement of descriptive labels for the placed spine groups.

Abstract: Embodiments of the invention provide systems and methods for managing catalog information that can include tracking and reporting search terms used for catalog items searches. According to one embodiment, a procurement application can maintain a log of unique search phrases which returned no search results. For example, the log can maintain records from a specific time period. A count can be maintained to capture how many times a phrase was used for search within the specific time period, and used to rank the frequency of the search phrases. Search phrases that exceed that time period may be purged. The accumulated counts and associated search terms can be provided to the managers periodically and/or upon request in the form of a summary or other graphical and/or textual report or presentation.

Abstract: One or more criteria are determined for a trending topic. A search is performed to determine content items that satisfy the one or more criteria. Portions of at least some of the content items are provided in, or made accessible from, a medium that is specific to a subject category that is based on the one or more criteria.

Abstract: A system, method and user apparatus dynamically reclassify and retrieve target information object(s) among multiple information objects stored on a memory. Multiple attribute classifiers are corresponsive to the information objects. Displayable dynamical reclassifying hints (DRHs) are provided according to user input signal(s). When a first attribute classifier is determined by a central processing unit according to the user input signal, second attribute classifier(s) is determined and combined with one of the attribute classifiers together visibly on a display unit; wherein the second attribute classifier and the combined one of attribute classifier corresponds to same one(s) of the information objects.

Abstract: A system and for providing reference documents as a suggestion for classifying uncoded documents is provided. A reference set of electronically stored information items, each associated with a classification code, is designated. Clusters of uncoded electronically stored information items are designated. One or more of the uncoded electronically stored information items from at least one cluster is compared to the reference set. At least one of the electronically stored information items in the reference set is identified as similar to the one or more uncoded electronically stored information items. The similar electronically stored information items are injected into the at least one cluster. Relationships are visually depicted between the uncoded electronically stored information items and the similar electronically stored information items in the at least one cluster as suggestions for classifying the uncoded electronically stored information items.

Abstract: Presented is a method for obtaining a single set of media search results from a search of media sources. The method includes providing a search query, executing a search of each of the media sources for media based on the provided search query, generating results of the searches, and consolidating the results of the searches into the single set of search results that include a list of media items with associated metadata. The method further includes organizing the media items into groups. Each of the groups includes media items that have similar content. The similarity of the content is defined by the media items' associated metadata meeting a metadata matching threshold. The method further includes filtering the groups, sorting the groups of media items with respect to each other, sorting the media items within the groups, and displaying the groups of media items.

Abstract: An approach is provided for providing a contextual model based upon user context data. A context modeling platform collects context data of a user from a plurality of sources, and the sources include at least online activities of the user. The context modeling platform maps the collected user context data as context data points into a multidimensional contextual model.

Abstract: Technologies for search-based filtering of a property grid. Such filtering allows a user to enter a search term into an easily recognized search text box, or apply a user or pre-defined term to a property grid, thus reducing the set of properties visible so that the user has a smaller list to search to find the one on which they desire to operate. The search term is typically applied to all properties shown in the property grid. Elements that match the search term are made visible in an updated property grid while those that do not match are not presented. Also, the search term may be applied to more than just the name of the property. It may be applied to a category within which the property appears, the type of the property, or any of a number of attributes or tags that may be applied to the property.

Abstract: A method, and associated apparatus, that allows online posts to be automatically analysed and classified such that they can then be appropriately monitored or actioned. The classification method comprises analysis of the contents of the online posts, for example keyword extraction, the affinity of one poster to comment on the posts of a further poster and the relationship between one poster and their posts with other posters and their posts.

Abstract: In general, a specification of multiple contexts that are related according to a hierarchy is received. Relationships are determined among three or more metadata objects, and at least some of the metadata objects are grouped into one or more respective groups. Each of at least some of the groups is based on a selected one of the contexts and is represented by a node in a diagram. Relationships among the nodes are determined based on the relationships among the metadata objects in the groups represented by the nodes, and a visual representation is generated of the diagram including the nodes and the relationships among the nodes.

Abstract: The present invention is a method for clustering data points. The method represents data-points as vertices of a graph (a well-known mathematical construct) with distance-weighted arcs (lines joining each paid of points). The method then involves sorting the arcs in increasing order of their weights and adding them in ascending order, at each stage determining the number of connected components in the graph and the length of the longest added edge. The longest edge is a measure of the quality of the clustering (low values are good), and the connected components are the clusters.

Abstract: A company technical document group analysis supporting device comprises index term extracting means for extracting an index term from a group of documents of a subject company including a technical document group, clustering means for classifying the document group of the subject company under given conditions to acquire multiple clusters, number-of-documents determination means for determining the number of documents belong to each cluster, appearance frequency calculating means for calculating a function value of an appearance frequency of each extracted index term in each cluster, per-cluster keyword point calculating means for calculating the keyword point in each cluster by dividing the function value of the appearance frequency of each index term in each cluster by the number of documents belonging to each cluster, and entire-cluster keyword point calculating means for calculating the total for the entire clusters of the results of the calculation by the per-cluster keyword point calculating means for e

Abstract: There is disclosed a system and method for processing multi-modal collaboration. In an embodiment communication received from multiple modes are converted into a common format. Using various conversion modules, the communication may be converted into a common electronic text format (e.g. ASCII text) that contains keywords. Once the communication is converted into a common format, the information contained in the communication may be analyzed and consolidated into related areas or topics. The consolidated information may then be searched for common references in order to augment the information context.