Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.

Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.

Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.

Abstract: A method and system for auto-curating a media are provided. Media content is received over the network interface. A set of markers is identified for the media content, each marker corresponding to one of a plurality of visible and audible cues in the media content. Segments in the media content are identified based on the identified set of markers. An excitement score is computed for each segment based on the identified markers that fall within the segment. A highlight clip is generated by identifying segments having excitement scores greater than a threshold.

Abstract: Intergenic non-coding RNA molecules that regulate the expression of HWP1 and ALS3 of Candida are provided as are methods of using the non-coding RNA molecules and complementary molecules thereof in modulating HWP1 or ALS3 expression; adherence, yeast-to-hyphal transition, or biofilm development of Candida; and preventing or treating candidiasis.

Abstract: Intergenic non-coding RNA molecules that regulate the expression of HWP1 and ALS3 of Candida are provided as are methods of using the non-coding RNA molecules and complementary molecules thereof in modulating HWP1 or ALS3 expression; adherence, yeast-to-hyphal transition, or biofilm development of Candida; and preventing or treating candidiasis.

Abstract: A first set of contextual dimensions is generated from one or more textual descriptions associated with a given event, which includes one or more examples. A second set of contextual dimensions is generated from one or more visual features associated with the given event, which includes one or more visual example recordings. A similarity structure is constructed from the first set of contextual dimensions and the second set of contextual dimensions. One or more of the textual descriptions is matched with one or more of the visual features based on the similarity structure.

Abstract: A system and method for constructing a hierarchical multi-faceted classification structure includes organizing a plurality of visual categories into a multi-relational reference ontology that accounts for a plurality of different types of relationships. Media artifacts are categorized into the plurality of visual categories. The categories of artifacts are refined based on faceted ontology relationships or constraints from the multi-relational reference ontology. The multi-relational reference ontology and the one or more media artifacts with relationships are stored as the hierarchical multi-faceted classification structure in computer readable memory storage.

Abstract: A first set of contextual dimensions is generated from one or more textual descriptions associated with a given event, which includes one or more examples. A second set of contextual dimensions is generated from one or more visual features associated with the given event, which includes one or more visual example recordings. A similarity structure is constructed from the first set of contextual dimensions and the second set of contextual dimensions. One or more of the textual descriptions is matched with one or more of the visual features based on the similarity structure.

Abstract: A system and method for constructing a hierarchical multi-faceted classification structure includes organizing a plurality of visual categories into a multi-relational reference ontology that accounts for a plurality of different types of relationships. Media artifacts are categorized into the plurality of visual categories. The categories of artifacts are refined based on faceted ontology relationships or constraints from the multi-relational reference ontology. The multi-relational reference ontology and the one or more media artifacts with relationships are stored as the hierarchical multi-faceted classification structure in computer readable memory storage.

Abstract: A method and structure for performing a negotiation on a computer network, including initiating an auction and determining whether a Pareto-Optimal point is satisfied for the auction.

Abstract: A computer program product and method for improving quality of decisions call for a tracking runtime component, a decision modeling component, and a decision analytics component wherein the tracking runtime component provides for tracking executed decisions; the decision modeling component provides for modeling the executed decisions; and the decision analytics component provides for analyzing past decisions to improve the quality of the decisions.

Abstract: A method (and system) of adaptive action management for business solutions includes detecting a business situation, adaptively deciding an action for a detected business situation using information from a knowledge base, and invoking an action service for implementing the action.

Abstract: A method and structure for performing a negotiation on a computer network, including initiating an auction and determining whether a Pareto-Optimal point is satisfied for the auction.