Catálogo de publicaciones - libros

The Web has acquired immense value as an active, evolving repository of knowledge. It is now entering a new era, which has been called “Web 2.0”. One of the essential elements of Web 2.0 is harnessing the collective intelligence of Web users. Large groups of people are remarkably intelligent, and are often smarter than the smartest people in them. Knowledge as collective intelligence is socially constructed from the common understandings of people. It works as a filter for selecting highly regarded information with collective annotation based on bottom-up consensus and the unifying force of Web-supported social networks. The rising interest in harnessing the collective intelligence of Web users entails changes in managing the knowledge of individual users. In this paper, we introduce a concept of knowledge management based on harnessing the collective intelligence of Web users, and explore the technical issues involved in implementing it.

Qualitative reasoning uses a limited set of relevant distinctions of the domain to allow a flexible way of representing and reasoning about it. This work presents a conceptual framework for qualitative reasoning about information networks from a spatial-topological point of view. We consider the properties of connectivity and some topological invariants to describe the structural characteristics of and the topological relationships between networks. The paper presents a data model for networks which generalizes the notion of graph, founded in algebraic and topological considerations. Such conceptual tool can be useful in different domains, from social to technological networks.

People who belong to an organization own common knowledge that, with time, grows, evolves and is transferred from one person to another. As it happens in an ecosystem, each individual has his own work environment and personal goals, but also interacts with others, using common knowledge and contributing to its improvement.

According to this vision, we have created a knowledge management environment equipped with a set of tools to better support cooperation by working along two main directions: the first one relies on establishing a community driven central repository enhanced with Semantic Web technologies, which allows information to be organized according to its semantic structure by exploiting classification, information extraction, and semantic filtering techniques. The second direction relies on enriching users’ everyday work environment – including emails, web browsers, RSS aggregators, and desktops – by providing tools that exploit contextual information, directing more relevant information where it is needed and adding value to the information as it is generated and shared.

The system we describe in this paper on the one hand opens up corporate knowledge even to individuals who are normally unwilling to use a traditional KM system and, on the other hand, makes access much easier to those users who are already willing to share, leading to a healthier knowledge ecosystem which grows through seamless cross fertilization.

As software systems become bigger and more complex, researchers try to find ways to increase development productivity and efficiency. Knowledge generated during the software development process can be a valuable asset for a software company. But in order to take advantage of this knowledge, the company must store it for reuse. This can be achieved through the use of knowledge management tools integrated in CASE tools. This paper provides an overview of a system integrated in a CASE tool that manages and reuses software design knowledge. We describe how knowledge is stored and reused based on a Case-Based Reasoning approach. This tool aids the software designer in new ways: searching the design repository, suggesting designs, learning new knowledge from the user interaction, and other capabilities. We show the innovative aspects of our system.

ODESeW allows developing ontology-based Web portals. It provides functionalities to edit and browse information, taking into account access privileges, and to update automatically changes carried out on the underlying ontologies. In this paper, we describe the ontologies used in a specific deployment of the ODESeW platform, oriented to the management of EU R&D projects. We also present the functions offered in this specific deployment, giving as an example the EU Knowledge Web Network of Excellence portal.