International Business Machines Corporation

Anca-Andreea Ivan

Richard Thomas Goodwin

Juhnyoung Lee

Rakesh Mohan

Thomas Dean Rosinski

Sweefen Goh

Igor Anatolyevich Naumov

Rajesh Chopra

Stephen K Kibby

George A Schroeder

Yang Yang

Rama Kalyani T Akkiraju

Guo Tong Xie

Hui Guo

Yue Pan

Rama K Akkiraju

Ankur Chandra

Grace Y Lin

Rama K T Akkiraju

Hazem Elmeleegy

RamaKalyani T Akkiraju

Timur Nurullaev

A system and method allow a user to extract the set of customizations performed on an application and use these to estimate the time and effort and cost of (a) migrating to a new version of the application and/or (b) consolidating systems. The user can browse the extracted data and select configuration elements for re-use. After downloading the one or more configurations and comparing them, the user selects elements of the configurations for re-use. The first step is to scan one or more application systems and extract the configuration data using a surveyor. The method according to the invention automatically identifies configuration differences. The user then selects configuration elements for re-use. A graphic user interface (GUI) can be provided which allows the user to make these selections by dragging and dropping selected elements to a 'To Be' configuration. The selected configurations are then uploaded and installed on an instance of the application.

System and method for application configuration comparison and reuse

Techniques for generating driving information based on one or more driver inputs are provided. The techniques include receiving information about one or more triggering factors from at least one of one or more internal entities and one or more external entities, using the information to generate a message about the one or more triggering factors, and sending the message to one or more additional drivers.

Enabling driver communication

A system and method is provided for the ontological representation of the meta-models of businesses and their processes, activities, and components in one or more semantic web markup languages to enable reasoning and analyzing of instances of enterprise business models to infer relationships of business entities which are previously unknown or not clear from the original business model instance.

System and method for conducting dependency analysis of business components

A method of generating an ontology includes determining plural concepts from a data set by using a first predetermined pattern, using a second predetermined pattern to determine a relationship between the plural concepts, and between a concept and a concept token in the plural concepts, and generating the ontology based on the relationship.

Method and system for generating an ontology

A recommendation system exploits a repository of mashups to provide design-time assistance to the user through relevant suggestions as to what outputs can be generated along with the best plans to generate those outputs. An output ranker ranks the outputs of the system base on their popularity scores, and a planner uses metric planning algorithms and a configurable utility function. The system takes into account popularity and semantic similarity when recommending services and sources.

Recommendation system for assisting mashup developers at build-time

A computer-implemented solution for managing a semantic business model is provided. In particular, one or more business area models for a business entity are obtained and transformed into intermediate model(s). Each intermediate model is represented using a substantially similar meta-modeling language. Subsequently, the semantic business model is generated by merging the set of intermediate models. In this manner, the semantic business model can be generated in a manner that reduces the overall burden on a user. The semantic business model can be provided for display to the user and/or use in performing qualitative analysis on various aspects of the business entity.

Semantic business model management

A method is described for using descriptive logic (DL) representations to validate consistency in component business model (CBM) maps. Semantic constraints are generated from a semantic model of a component business model meta-model and inconsistency conditions of CBM maps. The semantic model of the CBM meta-model is applied to transform CBM maps into corresponding semantic representations. An inference engine applies the semantic constraints to the semantic representations to determine inconsistencies between one CBM map and another and between a CBM map and the component business model meta-model.

method to validate consistency of component business model maps

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San Jose, CA, United States of America

Anca-Andreea Ivan