Revista Romana de Interactiune Om-Calculator

1-20

Authors: Iulia Maria Florea, Traian Rebedea, Costin-Gabriel Chiru

Determining the syntactic dependencies is an important task in natural language processing, as it is useful for improving the results of a wide range of applications, such as machine translation, opinion mining, question-answering systems and others. This paper presents an initial step for semi-automatically building a corpus annotated with syntactic dependencies for Romanian and enriched with information about the type of the words and the relationships between them. As Romanian lacks an open-source syntactic or dependency parser specially trained on Romanian phrases, this corpus is necessary for obtaining better results for linguistic applications that are in need of dependency parse trees. To achieve this, we have started from two types of well-known parsers, the first trained for French syntactic parsing and the second for Spanish dependency parsing, that have been modified for analyzing phrases written in Romanian. The results we have obtained using these two methods are compared with the ones returned by the single existing dependency parser trained for Romanian on a medium-size corpus, which is available at this moment as a web service.

37-52

Authors: Daniela-Anca Sarbu

Telemedicine researches nowadays focus more and more on the complexity of the services that can be delivered and on the development of new paradigms of healthcare delivery. The paper proposes a different approach, a study in one area that has been neglected, but might provide useful insights for optimizing telemedicine services offering and that consists in the analysis of the data generated by a telemedicine application and correlating it with the geographical area where the telemedicine services were accessed. The scope of the study is to identify the most relevant data held by a telecommunication operator and processing it to expose the results in a simple and intuitive manner. Thus, a clear imagine of the usage indicators and the manner in which this usage can be correlated with the geographical position will bring a significant contribution in decision making process of optimizing telemedicine services offering. With this purpose we propose as solution an analytical platform based on a datamart that aliments an OLAP cube for enabling queries on different axes of interest. The paper presents both the data modeling and architecture, and the way of visualizing the results. The results visualization is done in an interactive manner, through personalized dashboards that contain the aggregated information at the highest level, enabling decision making in telemedicine services offering and delivery.

71-88

Authors: Denisa Copândean, Adrian Sabou, Dorian Gorgan

In order to develop flexible, highly-interactive applications we must ensure interaction between the user and modeled objects. Particle-based modeling introduces specific challenges with regard to interaction in the virtual environment, requiring the development of particular interaction techniques in order to simulate the user’s natural operations. This paper presents user interaction techniques with deformable particle-based models, namely selection, manipulation and volume slicing. We also describe the concepts and techniques that form the basis of these interactions, such as bounding volume and the implementation of the slicing instrument. Finally we describe challenges occurring when ensuring interaction in three-dimensional scene using bi-dimensional capable input devices.