Knowledge Placement & Management in wireless sensor networks has been a research area in recent years. Many existing Sensor Knowledge Management Systems view sensor data as a continuous stream that is sensed, filtered, processed, and aggregated as it “flows” from sensors to users. We argue that the Knowledge Management infrastructure will need substantial redesign to fully exploit the presence ...

conclusions the results of the current study showed that school teachers’ lacked knowledge regarding dental trauma and especially tooth avulsion. results a total of 269 teachers, 41.6% male and 58.4% female, answered the questionnaire. the results showed that 15.2 % of the teachers had an experience of avulsed tooth at school, all of them knew the importance of emergency management and 36.4% wo...

Although the technological approach of Knowledge Management (KM) is greatly shared, without awareness, when elaborating KM initiative’s strategy, we can confuse the notions of information and knowledge, and disregard the importance of individual’s tacit knowledge used in action. Therefore, to avoid misunderstanding during the strategic orientation phase of a general KM initiative development, i...

purpose:ferdowsi university of mashhad has developed its institutional repository (saed) for academic staff to storage and manage their scholarly information. however, there is no knowledge about the extent to which academics use such an integrated system and the problems they face in storage and retrieval of their publications. the aim of this research is, therefore, to investigate the usage s...

Computer Assisted Surgery seeks data from various sources related to surgical knowledge, which is mostly represented in the form of discrete databases. However, databases serve as data storage mechanism rather than knowledge representation system. As CAS is becoming more common for various types of surgical interventions, there is a need for representation, storage and processing of surgical kn...

Object bases underlying knowledge-based applications tend to be complex and require management. This research aims at improving the performance of object bases underlying a class of large knowledge-based systems that utilize object-oriented technology to engineer the knowledge base. In this paper, a hybrid clustering strategy that beneecially combines semantic clustering and iterative graph-par...