Big Data, Knowledge Management (KM) and Case-Based Reasoning (CBR)

Case-Based Reasoning (CBR) utilizes the specific knowledge of previously experienced, concrete problem situations (cases). A new problem is solved by finding a similar past case, and reusing it in the new problem situation. CBR can extract or mine a large amount of data (Big Data) from databases and knowledge-based systems. "Big Data" refer to dynamic, large, structured and unstructured volumes of data generated from traditional data sources, machine generated data and social data. Big data comes from many sources, in many formats. "Big Data Management" is the organization, administration and governance of large volumes of both structured and unstructured data. "Knowledge Management (KM)" is the process of creating, sharing, using and managing the knowledge and information of an organization. Case-Based Reasoning could be considered as a methodology for knowledge management. This paper describes the role that play Big Data and Knowledge Management for building a CBR system. We will discuss the Big Data phenomenon and its benefits and challenges.