Abstract: Functional summarization of non-textual content based on a meta-algorithmic pattern is disclosed. One example is a system including a converter, a plurality of summarization engines and/or meta-algorithmic patterns, an extractor, and an evaluator. The converter converts the non-textual content into a plurality of tokens. Combinations of summarization engines and/or meta-algorithm patterns are applied to the plurality of tokens to provide a meta-summary. The extractor extracts at least one summarization term from the meta-summary, and at least one class term for each given class of a plurality of classes of non-textual content. The evaluator determines similarity values of the non-textual content over each given class, each similarity value indicative of a similarity between the at least one summarization term and the at least one class term for each given class. The selector selects a class of the plurality of classes, the selecting based on the determined similarity values.

Abstract: Functional summarization of non-textual content based on a meta-algorithmic pattern is disclosed. One example is a system including a converter, a plurality of summarization engines and/or meta-algorithmic patterns, an extractor, and an evaluator. The converter converts the non-textual content into a plurality of tokens. Combinations of summarization engines and/or meta-algorithm patterns are applied to the plurality of tokens to provide a meta-summary. The extractor extracts at least one summarization term from the meta-summary, and at least one class term for each given class of a plurality of classes of non-textual content. The evaluator determines similarity values of the non-textual content over each given class, each similarity value indicative of a similarity between the at least one summarization term and the at least one class term for each given class. The selector selects a class of the plurality of classes, the selecting based on the determined similarity values.

Abstract: A method and system for risk assessment. A question set including one or more questions may be transmitted. Each question may be based on statutory, sectoral or standards requirements relating to how an entity handles information, and each question may be associated with one or more categories. An answer set may be received including one or more selected answers. Each selected answer may correspond to a question in the transmitted question set and each selected answer may be associated with a risk score. The risk score may be related to the statutory, sectoral or standards requirements. An assessment based on the answer set may be generated and transmitted. The assessment may include one or more questions and corresponding answers organized by risk score and category. A request for remediation action may be generated and transmitted when an answer corresponding to a question is associated with a risk score above a threshold risk score.