In the paper at hand a model based approach for managing the knowledge based innovation aspects of an enterprise is presented. Meta modelling techniques are applied to design the organizational Knowledge Space and then the Knowledge Maturing Scorecards approach is applied to define, manage and visualize indicators concerned with innovation potential of established enterprise goals. Paper provid...

INTRODUCTION ..................................................................................................................... 295 A META THEORETIC TAXONOMY OF PERSONALITY THEORIES AND PROCESSESS: THREE DIMENSIONS OF PERSONALITY THEORY...................... 297 Levels of Generality-From the Species to the IndividuaL................................................ 299 Levels of Explanation-F...

The META-NORD project has contributed to an open infrastructure for language resources (data and tools) under the META-NET umbrella. This paper presents the key objectives of META-NORD and reports on the results achieved in the first year of the project. META-NORD has mapped and described the national language technology landscape in the Nordic and Baltic countries in terms of language use, lan...

This research examines whether the hedonic 1 or utilitarian nature of a system serves as a boundary condition for understanding an individual’s interaction with information technology (IT). To do so, we reviewed the Technology Acceptance Model (TAM) literature to identify studies incorporating intrinsic motivators (i.e. indicators of hedonic responses to IT). We then employed meta-analytic tech...

Cellular automata often suffer from a level of brittleness that makes them susceptible to even the smallest unexpected environmental changes. We propose a method of converting CAs into more robust structures called meta-CAs that utilize cell redundancy along with added rules to correct errors and reproduce the functionality of the original CA. We show that the use of these meta-CAs can greatly ...

Entity Resolution constitutes a quadratic task that typically scales to large entity collections through blocking. The resulting blocks can be restructured by Meta-blocking in order to significantly increase precision at a limited cost in recall. Yet, its processing can be time-consuming, while its precision remains poor for configurations with high recall. In this work, we propose new meta-blo...

Goal Driven Learning (GDL) focuses on systems that determine by themselves what has to be learnt and how to learn it. Typically GDL systems use meta-reasoning capabilities over a base reasoner, identifying learning goals and devising strategies. In this paper we present a novel GDL technique to deal with complex AI systems where the metareasoning module has to analyze the reasoning trace of mul...

The UMLS Metathesaurus (UMLS-Meta) is currently the most comprehensive effort for integrating independently-developed medical thesauri and ontologies. The techniques used in the construction of UMLS-Meta are mostly based on lexical matching and often disregard the semantics of the sources being integrated. In this paper we aim at developing logic-based techniques to automatically detect and fix...