Abstract: A method and system are provided. The method includes deriving a set of user attributes from an aggregate analysis of images and videos of a user. The deriving step includes recognizing, by a set of visual classifiers, semantic concepts in the images and videos of the user to generate visual classifier scores. The deriving step further includes deriving, by a statistical aggregator, the set of user attributes. The set of user attributes are derived by mapping the visual classifier scores to a taxonomy of semantic categories to be recognized in visual content. The deriving step also includes displaying, by an interactive user interface having a display, attribute profiles for the attributes and comparisons of the attribute profiles.

Abstract: A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.

Abstract: A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.

Abstract: A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.

Abstract: A method includes utilizing two or more classifiers to calculate, for an input image, probability scores for a plurality of classes based on visual information extracted from the input image and semantic relationships in a classification hierarchy, wherein each of the two or more classifiers is associated with a given one of two or more levels in the classification hierarchy with each level in the classification hierarchy comprising a subset of the plurality of classes, and classifying the input image based on the calculated probability scores.

Abstract: A method and system are provided. The method includes deriving a set of user attributes from an aggregate analysis of images and videos of a user. The deriving step includes recognizing, by a set of visual classifiers, semantic concepts in the images and videos of the user to generate visual classifier scores. The deriving step further includes deriving, by a statistical aggregator, the set of user attributes. The set of user attributes are derived by mapping the visual classifier scores to a taxonomy of semantic categories to be recognized in visual content. The deriving step also includes displaying, by an interactive user interface having a display, attribute profiles for the attributes and comparisons of the attribute profiles.

Abstract: Smart Mark-up or highlighting delimits a rule using ontology technology to identify words and fields as objects and/or possible values in the rule. These technologies support the user in formalizing parts of the rules in a manner consistent with the system's data.

Abstract: The system and method in one aspect provide a set of extended Boolean operators and a tree visual paradigm that enable business users to modularize the construction of a rule and visualize it as the rules is being built.

Abstract: The system and method in one aspect allow understanding of Boolean expressions by representing them graphically as a flow of information. NOTs are represented as switches in the flow, capturing the original structure of the expression as written by the user. Verification of those expressions with live data is also enabled.

Abstract: Concurrent access to a global data repository is provided, while minimizing the number of locks acquired to provide the concurrent access. One or more resources within the global data repository have predefined relationships with one or more other resources of the repository. Thus, locking for a particular resource is based on its relationship with one or more other resources of the repository.

Abstract: A method (and structure) for using reasoning heuristics in a network-based information system based on an entity/relation paradigm and characterized as being a self-similar hypergraph. The method includes packaging domain-independent reasoning heuristics so that they can be attached to data in a self-similar-hypergraph information system, thereby allowing self-describing knowledge capsules to be created from the data.

Abstract: Smart Mark-up or highlighting delimits a rule using ontology technology to identify words and fields as objects and/or possible values in the rule. These technologies support the user in formalizing parts of the rules in a manner consistent with the system's data.

Abstract: The system and method in one aspect allow understanding of Boolean expressions by representing them graphically as a flow of information. NOTs are represented as switches in the flow, capturing the original structure of the expression as written by the user. Verification of those expressions with live data is also enabled.

Abstract: The system and method in one aspect provide a set of extended Boolean operators and a tree visual paradigm that enable business users to modularize the construction of a rule and visualize it as the rules is being built.

Abstract: A structure and method are provided which can model and use information in a systematic, domain-independent manner, which can flexibly represent declarative data such as concepts, instances, relations and contexts and data views, and which may serve as a middleware module for user applications. The invention teaches a syntax and functionality of a set of software objects that represent, store and dynamically retrieve information on behalf of user applications.

Abstract: Concurrent access to a global data repository is provided, while minimizing the number of locks acquired to provide the concurrent access. One or more resources within the global data repository have predefined relationships with one or more other resources of the repository. Thus, locking for a particular resource is based on its relationship with one or more other resources of the repository.

Abstract: Concurrent access to a global data repository is provided, while minimizing the number of locks acquired to provide the concurrent access. One or more resources within the global data repository have predefined relationships with one or more other resources of the repository. Thus, locking for a particular resource is based on its relationship with one or more other resources of the repository.

Abstract: A method for accessing databases through ontologies by using an IRIS (Information Representation, Inferencing and Sharing) architecture that includes nodes and links, the method comprising: representing a graph model of the ontologies, where the ontologies include concepts, properties, and relations; defining the graph model through high-level constraints; using a plurality of agents to formulate queries of the ontologies; allowing sections of the ontologies to be named and used as classes; creating an interface module based on definitions of the relations created by the plurality of agents for evaluating the high-level constraints; allowing the semi-automatic mapping of data into the ontologies; loading the data into the ontologies; allowing the plurality of agents to access the ontologies through the queries; and customizing the ontologies through views derived from the queries.

Abstract: The management and use of replicated distributed transactions is facilitated. A distributed synchronous transaction system protocol is provided to manage the replication of distributed transactions for client application instances. The distributed synchronous transaction system allows transactions to be replicated without having the client application instances be aware of other instances to receive the transaction. Further, if a failure occurs during processing of a distributed replicated transaction, the distributed synchronous transaction system manages the recovery of the failure.

Abstract: A client application sends a request to a given server of a replicated group of servers, and expects a response to the request. If the client does not receive a response to the request, or if the server is otherwise unavailable, the client is automatically reconnected to another server of the replicated group. The servers of the replicated group do not, however, have to have any knowledge of the communication session of the client.