Abstract: Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies and sorting the past cases based on the comparison, wherein the universal ontology integrates authority information associated with the current and past cases.

Abstract: Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies, wherein the universal ontology integrates information associated with the current and past cases with at least one reasoning system.

Abstract: Systems and methods disclosed herein provide for semantically aligning data tables, controlled domain vocabularies, and domain ontologies. The systems and methods provide for aligning the data tables, controlled domain vocabularies, and domain ontologies based on a proxy table ontology representing a physical syntactical structure of the data table.

Abstract: The invention relates to a computer-implemented system and method for grading of a loan using chained confidence scoring. The method may comprise the steps of: scanning documents within a credit file for the loan, extracting attributes from the scanned documents and from electronic documents in the credit file, calculating a plurality of calculated attributes based on the extracted attributes, calculating a loan risk rating based on the calculated attributes and the extracted attributes, calculating an aggregated confidence value associated with the calculated loan risk rating, and enabling a user to modify the loan risk rating, the aggregated confidence value, and a number of chained confidence values. The confidence values input by the user are used as training data to train a chained confidence model and the chained confidence model is used to calculate the aggregated confidence value in connection with the automated grading of a loan.

Abstract: Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies and sorting the past cases based on the comparison, wherein the universal ontology integrates authority information associated with the current and past cases.

Abstract: Systems and methods disclosed herein provide for a case-based reasoning using universal ontologies. Embodiments of the systems and methods provide for comparing current and past cases based on the universal ontologies, wherein the universal ontology integrates information associated with the current and past cases with at least one reasoning system.

Abstract: Systems and methods disclosed herein provide for semantically aligning data tables, controlled domain vocabularies, and domain ontologies. Embodiments of the systems and methods provide for aligning the data tables, controlled domain vocabularies, and domain ontologies based on a proxy table ontology representing a physical syntactical structure of the data table.

Abstract: The invention relates to a computer-implemented system and method for grading of a loan using chained confidence scoring. The method may comprise the steps of: scanning documents within a credit file for the loan, extracting attributes from the scanned documents and from electronic documents in the credit file, calculating a plurality of calculated attributes based on the extracted attributes, calculating a loan risk rating based on the calculated attributes and the extracted attributes, calculating an aggregated confidence value associated with the calculated loan risk rating, and enabling a user to modify the loan risk rating, the aggregated confidence value, and a number of chained confidence values. The confidence values input by the user are used as training data to train a chained confidence model and the chained confidence model is used to calculate the aggregated confidence value in connection with the automated grading of a loan.

Abstract: Techniques for designing information technology components by influencing design of a component using a set of criteria that reflect requirements of a target market. Each of the criteria may have one or more attributes, and may be different in priority from one another. The criteria are preferably directed toward ensuring, and/or improving, the component's acceptance by its target market. Preferably, a component assessment process is used to determine whether the assessed component will meet requirements of its target market; if deficiencies are found, the component (or supporting information such as documentation) can then be redesigned.

Abstract: Techniques for selecting IT components (including components still under development) in view of ones thereof that will be most beneficial for incorporating into a component library and/or into products and solutions for a target market or markets. A set of criteria are evaluated with regard to each component. Each of the criteria may have one or more attributes, and may be different in priority from one another. In preferred embodiments, a component consumability score is created as a result of the comparison. The criteria/attributes used in creating this score are preferably weighted in view of their importance to the target market, and the consumability scores for components are preferably provided to component teams to influence component harvesting, planning, and/or development efforts.

Abstract: Techniques for assessing information technology components by comparing a component (including a component still under development) to a set of criteria. Each of the criteria may have one or more attributes, and may be different in priority from one another. In preferred embodiments, a component assessment score is created as a result of the comparison. When necessary, a set of recommendations for component changes may also be created. The criteria/attributes may be prioritized in view of their importance to the target market, and the assessment results are preferably provided to component teams to influence component harvesting, planning, and/or development efforts. Optionally, the assessment process may be used to determine whether the assessed component has achieved at least some predetermined assessment score associated with a special designation.

Abstract: A company's ability to expand its market presence by delivering value to emerging and immature markets is influenced by its ability to develop a rich and differentiated value net within these emerging markets. Techniques are disclosed for making resource placement decisions in an objective manner, using results from a value chain analysis. Geographies or locations that are candidates for the resource placement are analyzed in terms of a set of criteria which, in preferred embodiments, are directed toward identifying strengths and weaknesses of each location as part of an overall value chain.