International Business Machines Corporation

Hyun Sung Chu

Murali Vridhachalam

Rick A Hamilton, Ii

Clifford A Pickover

Peter P Rodriguez

Abraham G Guerra

Scott R Crowther

Walter Charles Dietrich, Jr

Jaime Solari

Barbara Ann Eckman

Hung Q Pham

A modeling solution, which enables various users to create, use, and evaluate models, such as scientific models, in various scenarios is provided. To this extent, the modeling solution can define a model using one or more model components, each of which is configured to implement a modeling function using a set of standard execution rules. Additionally, the modeling solution can manage attribute data for each model/model component, which can include evaluation data for the corresponding model/model component. A user can review the attribute data and decide on a model/model component to use in a scenario. Subsequently, the user can provide initialization data for the scenario. The scenario can be executed, and result data for the scenario can be stored together with the initialization data. Users also can evaluate the scenario. In an embodiment, multiple users are classified into multiple tiers, and evaluation data is managed for each tier, thereby allowing users to effectively evaluate the model/model component among groups of users with similar concerns.

Collaboration framework for modeling

A method and process that allows arbitrary input form semantics to be specified and interpreted at run-time. The method utilizes general purpose set theory expressions to represent input semantics based on the form creator's intent and the relationship between the input fields. Because the method utilizes general purpose logic it can be practiced with an array of computer programs and algorithms and does not require the use of a relational database.

Method and apparatus for specification and interpretation of input source semantics

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Elmsford, NY, United States of America

Hyun Sung Chu