On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
Recursive functions of symbolic expressions and their computation by machine, Part I
Communications of the ACM
Communications of the ACM - Ontology: different ways of representing the same concept
Knowledge Management: Insights from the Trenches
IEEE Software
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Is it time for a science of knowledge? In this paper we argue that yes, it is time and define it as:KS = (D+I+S+K)*E + KMWhere KS is Knowledge Science, DE is Domain Engineering, IE is Information Engineering, SE is Software Engineering and KE is Knowledge Engineering, and that Knowledge Management (KM) moderates these disciplines. We try to clarify the apparent state of confusion in the current landscape where KS, KM and KE have different meanings to different audiences. After clarifying the difference between KE and KM and arguing that KE and KM are complementary we explain why we selected the word knowledge instead of information and decided on the word science in KS. The core of the paper explains the term (D+I+S+K)*E in our proposed definition and why each of these disciplines contribute to KS. One of our conclusions is that KS deals with knowledge about knowledge, or about the knowledge needed to increase, expand or further acquire more knowledge, and that KS can be applied to all the existing sciences, covering their needs of methodologies, techniques and tools.