Towards better understanding of context-aware knowledge transformation

Abstract

Abstract-Considering different aspects of knowledge functioning, context is poorly understood in spite of intuitively identifying this concept with environmental recognition. For dynamic knowledge, context especially seems to be an essential factor of change. Investigation on the impact of context on knowledge dynamics or more generally on the relationship between knowledge and its contextual interpretation is important in order to understand knowledge dynamics. The aim of this paper is to research and examine the nature of knowledge transformation (a specific sort of life-cycle), and to identify contextual factors affecting knowledge dynamics.

Knowledge Management in Corporations – Synergy Between People and Technology. Barriers and Benefits of Implementation

“…This strategic place can be considered as a core of business. Some data may be useless using third parties because they are not information but only data [3]. Particular attention should be paid to the security of systems that will hold file collections, and to plan the permissions and topology of attributes assigned to individual employees.…”

“…People, human capital, influences decisively on effectiveness and performance of company and decide about final gains. The knowledge management [1] is a compilation containing methods of gathering, managing, capturing and using knowledge, both explicit and tacit [2,3]. Explicit knowledge [4] is knowledge that can be readily articulated, codified, accessed and verbalized [5].…”

Mining e-mail message sequences from log data

“…In the body of the second loop (12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22), if the vertex of the sender exists in the adjacency list, then the weight is calculated, and a new vertex, representing a recipient, is created and added along with the weight to the adjacency list on the right side; if the vertex representing the sender does not exist, then a new vertex is created and added to the adjacency list on the left side; the weight is calculated and a new vertex for each recipient is created and added along with the weight to the adjacency list on the right side; if the vertex representing a recipient does not exist, then a new vertex for each recipient is added to the adjacency list on the left side. Finally, if the identifier of the next object is different, then a graph representing a unique e-mail message sequence is created.…”

“…Knowledge visualization aims to use visual representation to facilitate the understanding of discovered complex data structures [17]. Knowledge interpretation is an arbitrary construct of the information perceived by an individual who aims to specify its meaning by incorporating context, logic and experience [18]. Knowledge evaluation is a subjective judgment on its applicability and validity to solve a particular problem [19].…”

Use of data mining tools rang a sending compete instruments transport services SME sector enterprises

“…eksploracja danych wiąże się w głównej mierze z analizą danych o ściśle określonej strukturze, a wyrażona jest wartościami na klasycznych skalach pomiarowych. Oprócz narzędzi data mining wyróżniać możemy oprogramowanie do text miningu oraz web miningu, które również wykorzystywane są do odnajdowania ukrytej wiedzy w dużych bazach danych bądź w internecie (weichbroth, Owoc, Pleszkun, 2012, s. 1171-1176Owoc, weichbroth, 2014, s. 38-52).…”