Search results for "Knowledge base"
showing 10 items of 142 documents
A Semantic Model to Query Spatial–Temporal Data
2013
There is a growing need for the study of spatial–temporal objects and their relationships. A common approach for this task is the use of relational databases, which unfortunately do not allow inference. In this research, we introduce a new approach that uses the concept of a “continuum” together with ontologies and semantic Web technologies. The continuum allows us to define parent–child relationships between representations of objects. It also allows us to compare the evolution of two different objects and establish the relationships between them along time. Our approach is based on the four-dimensional fluent, which is extended to obtain spatial–temporal qualitative information from the a…
Learning high-level manipulative tasks through imitation
2006
This paper presents ConSCIS, Conceptual Space based Cognitive Imitation System, which tightly links low-level data processing with knowledge representation in the context of robot imitation. Our focus is on the program-level imitation: we are interested in the final effects of actions on objects, and not on the particular kinematic or dynamic properties of the motion. The same architecture is used both to analyze and represent the task to be imitated, and to perform the imitation by generalizing in novel and different circumstances. The implemented experimental scenario is a two dimensional world populated with various objects in which observation/imitation takes place. To validate our appr…
Multi-data models translations in interoperable information systems
1996
Interoperation of heterogeneous and autonomous information systems has traditionally been hampered by semantic differences in their data models. In this paper, we address the problem by defining a methodology called TIME, which is based on an extensible meta model. Its key features are: a set of meta-types which can be used to represent the syntax and the semantics of data modeling concepts, a knowledge base of transformation rules that map a meta-type into other meta-types, and an inference engine which uses the transformation rules to translate schema from source to target models. The extensibility of the meta-model is achieved by organizing the meta-types into a generalization hierarchy …
Solving NP-Complete Problems with Networks of Evolutionary Processors
2001
We propose a computational device based on evolutionary rules and communication within a network, similar to that introduced in [4], called network of evolutionary processors. An NP-complete problem is solved by networks of evolutionary processors of linear size in linear time. Some furher directions of research are finally discussed.
Knowledge management in developing regions: the case of Valle de Aburrá, Colombia
2019
This study aims to identify the components of a knowledge management (KM) model to support innovation governance in a Colombian cosmetics cluster. The inter-organisational management of knowledge applied to innovation governance, and the perspective of endogenous economic development emphasises the structural specificities of developing countries. In line with this objective, the community-based participatory research (CBPR) and Delphi methods were combined to collect information from the cluster's different stakeholders, among them dependent shareholders who expressed their views through spokespersons. In an initial stage, a knowledge management model was built. After a second stage with a…
Knowledge management challenges in knowledge discovery systems
2006
Current knowledge discovery systems are armed with many data mining techniques that can be potentially applied to a new problem. However, a system faces a challenge of selecting the most appropriate technique(s) for a problem at hand, since in the real domain area it is infeasible to perform a comparison of all applicable techniques. The main goal of this paper is to consider the limitations of data-driven approaches and propose a knowledge-driven approach to enhance the use of multiple data-mining strategies in a knowledge discovery system. We introduce the concept of (meta-) knowledge management, which is aimed to organize a systematic process of (meta-) knowledge capture and refinement o…
Analysing innovation in museums through qualitative comparative analysis
2019
[EN] The aim of this paper is to analyse innovation in the processes undertaken by museums in the conservation and restoration of artworks. Information from 90 conservation and restoration departments from museums in 43 countries was analysed using qualitative comparative analysis. Two theoretical concepts - knowledge bases (analytical, synthetic, symbolic) and modes of innovations (Science, Technology and Innovation; Doing, Using, and Interacting) - were used to define necessary and sufficient conditions which explain innovation in artwork restoration. Two important results were obtained from the analysis. The first indicated that innovation was explained by the combination of symbolic and…
Firms’ Absorptive Capacity for Research-Based Collaboration—an Analysis of a Norwegian R&D Brokering Policy Program
2017
The objective of this article is to explore how policy supported instruments aimed to stimulate research-based innovation influence long-term innovation activity in firms with different knowledge bases. In an effort to contribute to the renewal of existing industry, some policies aim to stimulate firms to adopt and apply research-based knowledge in innovation processes. This article includes a qualitative study of a specific ‘R&D brokering policy instrument’ in Norway aimed at increasing R&D-based innovation processes in firms. R&D brokering policy instruments include funding schemes that are designed to foster and transfer technology and knowledge between firms and research communities. Th…
The Influence of the Circular Economy: Exploring the Knowledge Base
2019
The objective of this study is to analyze the main factors influencing research on theconcept of &lsquo
Comparing the applicability of two learning theories for knowledge transfer in information system implementation training
2004
This study reviews two traditional learning theories from the viewpoint of knowledge transfer in information system implementation training. The main goal of this study is to determine which is more applicable from the view of knowledge transfer in this context. In this study, behaviourist learning theory is found suitable for the transfer of data and information. Being more learner-centered, constructivist learning theory suits better for information system implementation training, as it enables combining system specific knowledge with knowledge of the existing organisational processes. This creates new organisation-specific knowledge necessary for the effective use of the information syst…