Computing and managing conflicting functional data requirements using ontologies

Abstract

In one or more embodiments of the invention, functional data analysts may use a functional data authoring module to capture functional metadata in a consistent manner. Conflict reports for the business processes may be generated for a subset of the business processes or as an overall report across all business processes. One or more embodiments of the invention may provide early detection of data usage and type conflicts from functional data requirements, automated detection of conflicts from functional data requirements, reports listing detected conflicts, conflicts resolution tracking mechanism, ongoing notification regarding changes in functional data requirements or detected conflicts, and avoidance of conflicting functional requirement in the realization phase, thereby reducing costs and project risks and avoiding project delays.

Description

TECHNICAL FIELD[0001]This disclosure relates to information management, and more particularly, to computing and managing conflicting functional data requirements across business processes using ontologies and text analytics.BACKGROUND[0002]As businesses continue to grow, they require sophisticated tools to manage various types of information and provide businesses with the ability to capture information, integrate the information with existing systems, and provide access to the information. Some businesses utilize custom-built applications, such as e-commerce platforms or call-centers. Many businesses may use a conglomeration of tools that are created using different programming languages and use a variety of persistencies, such as flat files, hierarchical databases, relational databases, or content management systems. Some applications are information-centric applications such as master data management systems and data warehousing systems. Across all these systems, often the same p...

AI Technical Summary

Benefits of technology

The computer program described in this patent allows for automated matching of attributes (e.g. keywords) to an ontology (a way of organizing data) using various methods such as dictionary matching or fuzzy matching. The program can then generate a result list of matches and create an entry for the attribute in the ontology. It can also be used with different types of ontologies and address conflicts between existing entries. Overall, this program simplifies the process of creating and managing data with a structured, organized approach.

Problems solved by technology

Across all these systems, often the same process may be implemented in a variety of ways, thereby leading to the capture of information in an inconsistent manner.

This may lead to data inaccuracies which lead to inefficiencies within or across the systems.

Many conflicts occur during the blueprint phase because the business process teams often work in parallel, but independently from each other.

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