Markov logic is a robust approach for probabilistic relational knowledge representation that uses a log-linear model of weighted first-order formulas for probabilistic reasoning. This loglinear model always exists but may not represent the knowledge engineer’s intentions adequately. In this paper, we develop a general framework for measuring this coherence of Markov logic networks by comparing ...

The article deals with relationships between mathematical models and knowledge maps. The goal of the article is to suggest how to use the mathematical model as a knowledge map and/or as a part (esp. the inference mechanism) of the knowledge system. The results are demonstrated on the case study, when the knowledge from a story is expressed by mathematical model. The model is used for both knowl...

This study suggests a two-step approach to identifying and interpreting regional convergence clubs in Europe. The first step calculates Bayesian probabilities for various assignments of regions to two clubs using a general stochastic space-time dynamic panel relationship between growth rates and initial levels of income as well as endowments of physical, knowledge and human capital. This approa...

The Abou-Zeid Knowledge Management Reference Model provides a structure for the elements necessary for a holistic knowledge management support system. The model underscores the importance for an effective system to consist of three layers: business aspects and associated knowledge nuggets; processes which enable the manipulation and update of these nuggets; and technology that makes this manipu...

This paper addresses to a classification challenge in a filtering task. We use different kind of features to depict vital documents and filter them out from the stream. A vital document has to be relevant for a particular entity and has to relate a new story about it. We introduce different features that uses time as well as entity profil to perform classification. We evaluate our method on fra...

triple helix model (th) collaborations involving university, industry and government provide a networked infrastructure for shaping the dynamic fluxes of knowledge base of innovations locally and these fluxes remain emergent within the domains. in this article first the knowledge-based economy, national system of innovation, and three models of uig relations which represent different triple hel...

In order to reduce the complexity of large knowledge-based systems and promote reusability, means for decomposing them to smaller chunks are required. MIKE, our knowledge engineering framework, provides three basic means for structuring which are described in this paper: different kinds of knowledge are separated at different knowledge layers, knowledge layers can be structured by modules, and ...

The purpose of this study is to investigate the level of knowledge management (KM) maturity of credit unions. The application of a maturity model to fifteen credit unions in North America revealed that an overall level of KM maturity of credit unions is at an early stage of development, but there are signs of future improvement. Credit unions attempt to increase their efficiency through KM solu...