Conflict-Free Replicated Data Types (CRDTs) support decentralized collaborative editing of shared data, enabling peer-to-peer sharing and flexible branching merging workflows. While there is extensive work on CRDTs for plain text, much less known about rich text with formatting. No algorithms have been published, existing open-source implementations do not always preserve user intent. In this p...

Collaborative filtering is one of the most popular approaches in recommender systems. In collaborative filtering, the system exploits the ratings of the active user’s like-minded users: his neighbors, to estimate his ratings on the items he has not rated yet and recommend him the items with the highest estimated ratings. Collaborative filtering faces a latency problem: a new item cannot be reco...

Researchers share large amounts of digital resources, which offer new chances for cooperation. Collaborative annotation systems are meant to support this. Often these systems are targeted at a specific task or domain, e.g., annotation of a corpus. The DWAN framework for web annotation is generic and can support a wide range of tasks and domains. A key feature of the framework is its support for...

E-democracy is a cognitive democracy oriented to the extraction and democratization of the knowledge related with the scientific resolution of public decision making problems associated with the governance of society. This paper presents a qualitative approach based in text mining tools to identify voting tendencies from the analysis of the messages and comments elicited by citizens through a c...

The large volume of scientific publications is likely to have hidden knowledge that can be used for suggesting new research topics. We propose an automatic method that is helpful for generating research hypotheses in the field of physics using the massive number of physics journal publications. We convert the text data of titles and abstract sections in publications to a bipartite graph, extrac...

People-to-people recommendation differ from item recommendations in a number of ways, one of which is that individuals add information to their profile which is often critical in determining a good match. The most critical information can be in the form of free text or personal tags. We explore text-mining techniques to improve classical collaborative filtering methods for a site aimed at match...

The relationship between collaboration processes, task strategies and the use of the tools and resources that the computer environment offers, may be crucial for the effects of computer supported collaborative learning. We are interested to find out how, within a computer environment, students collaborate, how they use the different tools we offer and how this influences the quality of the fina...

Current groupware systems do not work well over wireless networks, as a wireless connection is of variable and often poor quality. Our research suggests a number of changes that allow groupware applications to make efficient use of a wireless channel. One fundamental change is providing adaptability, which allows applications to take advantage of favourable network conditions and to react to di...