The main aim of the MIMA (Mining Information for Management and Acquisition) Search System is to achieve ‘structuring knowledge’ to accelerate knowledge exploitation in the domains of science and technology. This system integrates natural language processing including ontology development, information retrieval, visualization, and database technology. The ‘structuring knowledge’ that we define ...

Providing an adequate security level in Cloud Environments is currently a particularly active analysis space. a lot of specifically, malicious behaviors targeting massive scale Cloud knowledge repositories (e.g. Denial of Service attacks) could drastically degrade the general performance of such systems and can't be detected by typical authentication mechanisms. during this paper we have a tend...

Ontology-Based Data Access is a problem aiming at answering conjunctive queries over facts enriched by ontological information. There are today two manners of encoding such ontological content: Description Logics and rule-bases languages. The emergence of very large knowledge bases, often with unstructured information has provided an additional challenge to the problem. In this work, we will st...

The storage of hydrogen is considered as the bottleneck in the implementation of portable fuel cell power generating systems. The necessary experimental studies to discover and develop appropriate storage materials are always time-limited. We discuss herein the approach of an uncomplicated and accessible computationally based analysis of database knowledge towards the identification of promisin...

BACKGROUND Assuring safety and survival of blood in vitro depends on anti-coagulation substances, blood bag characteristics, storage conditions, and transport of blood. Besides, careful selection and screening of donors as well as blood tests can minimize the transmission risk of blood-transmissible pathogens and optimize blood health. The aim of this study was to assay the level of knowledge a...

The goal of our research is to provide scalable and efficient solutions for RDF knowledge management. There is significant research concerning schemata and tools for RDF storage and efficient querying. There is also significant research into ontology design, representation, extraction and alignment, and into representing uncertainty in ontologies. However, there are not efficient and scalable s...

The following paper describes recent work on NED-2, an intelligent information system for ecosystem management currently in development by the USDA Forest Service. Using knowledge bases created by forestry experts and inference engines, NED-2 evaluates forest inventories according to a set of predefined goals. By integrating third-party simulation and visualization packages, NED-2 allows the us...

VOSTROVSKÝ VÁCLAV, TYRYCHTR JAN, ULMAN MILOŠ. 2015. Knowledge Support of Information and Communication Technology in Agricultural Enterprises in the Czech Republic. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63(1): 327–336. Presented article deals with issue of knowledge support of managerial decision making of entrepreneurs with regards to knowledge management prin...

In the past decade, knowledge management has played a critical and active role in business settings at the organisation level. Recently, the importance of knowledge management is becoming increasingly recognised in e-government. A key challenge of studying knowledge management in e-government is to extrapolate our current understanding in business settings to the public domain and the societal ...

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...