This paper examines the management of the information management process in process organizations. Throughout the 1990s there is evidence that some organizations have transformed themselves from functionally oriented to process-based entities. The information management process is critical in supporting a process enterprise and this study looks at how it may be organized. The study focuses on i...

They appeared in our life only few years ago and now they are everywhere: computers have become ubiquitous and, almost, irreplaceable. Classical ways of creating, managing and exchanging information have been progressively replaced by electronic means. Everyday, information diffusion tools like the World Wide Web, E-mails, Forums and other Blog software are now commonly used. In spite of this p...

HNC Software, Inc. has developed a system called DOCUVERSE for visualizing the information content of large textual corpora. The system is built around two separate neural network methodologies: context vectors and self organizing maps. Context vectors (CVs) are high dimensional information representations that encode the semantic content of the textual entities they represent. Self organizing ...

In this paper is presented a demonstration of Kohonen's self-organizing maps, also known as SOM. Likewise is prepared a study of the functioning of Kohonen's maps in one and two dimensions and the most important characteristics of this type of network that works in similar way that the human brain. Finally, this paper details the characteristics necessaries for the network's training and how is...

Firms are increasingly embedded in networks of relationships with other organizations that are of strategic importance. An organization’s participation in a network may provide access to information, resources, markets, and technologies, or it may lock it in unproductive relationships from which it may be difficult to extricate. Therefore, it is no longer adequate to analyze firms’ conduct and ...

With increasing amounts of audio being stored and distributed electronically, intuitive and efficient access to large music collections is becoming crucial. To this end we are developing algorithms for audio feature extraction, allowing to compute acoustic similarity between pieces of music, as well as tools utilizing this information to support retrieval of as well as navigation in music repos...

We investigate a self-organizing network model to account for the computational property of the inferotemporal cortex. The network can learn sparse codes for given data with organizing their topographic mapping. Simulation experiments are performed using real face images composed of different individuals at different viewing directions, and the results show that the network evolves the informat...