Generation of Place Invariant in Knowledge Map and Networks of Business Intelligence Frameworks
Seungsu Jun, Seungryoung Lee, Kyungjin Jung, Byoung-Soo Lee · 2008
Business intelligence frameworks analyze business operations and produce information to help business users understand, improve and optimize business operations. This paper seeks to answer the question ldquohow to simplify and generation of place invariant in knowledge maps, networks of business intelligence?rdquo Place invariant is a property and semantic topics that holds in every reachable place on knowledge map and networks. Not only can be used in understanding and analysis of complex knowledge relationships. In previous works every reachable place was to be considered to generate place invariant. The complexity of place invariant is strongly dependent upon the size of places to be considered. For doing so, we let the user focus on some interested parts(called scopes) rather than a whole place space in a semantic model. Obviously, a set of places calculated in this way is a subset of every reachable place. Therefore, generated place invariant is used to optimize and translate knowledge map and networks.