Generating domain-specific methodical knowledge for requirement analysis based on methodology ontology

A knowledge engineering approach to knowledge management

“…As described above, recent studies have adopted a variety of perspectives to deal with KM activities: (1) a design perspective that focuses on the creation and the evolution of knowledge [13]; (2) an information technology perspective that discusses how KM and IT relate to each other [38,47]; (3) a management perspective that investigates critical factors and challenges in KM [20,32]; (4) an artificial intelligence perspective that emphasizes the role of artificial intelligence in KM [28,39]; and (5) an ontology perspective that focuses on developing common formalisms to enable knowledge sharing [5,10,29,30,43].…”

“…However, to manage various types of knowledge, a systematic knowledge engineering approach that includes knowledge analysis, knowledge formalization, and knowledge reasoning is desirable. Many researchers have attempted to address KM activities from various perspectives, including a design perspective [13], an information technology perspective [38,47], a management perspective [20,32], an artificial intelligence (AI) perspective [28,39], and an ontology perspective [5,10,29,30,43]. These studies have pointed out several major problems that KM activities may encounter.…”

Generating domain knowledge for requirement analysis based on acquisition ontology

“…For detail descriptions of the other two models, the readers are referred to Ref. 16. Nevertheless, to give the readers an overall picture of the design philosophy of GAMP, Section II will give a brief description about the method model.…”