Open business intelligence: on the importance of data quality awareness in user-friendly data mining

Citizens demand more and more data for making decisions in their daily life. Therefore, mechanisms that allow citizens to understand and analyze linked open data (LOD) in a user-friendly manner are highly required. To this aim, the concept of Open Business Intelligence (OpenBI) is introduced in this position paper. OpenBI facilitates non-expert users to (i) analyze and visualize LOD, thus generating actionable information by means of reporting, OLAP analysis, dashboards or data mining; and to (ii) share the new acquired information as LOD to be reused by anyone. One of the most challenging issues of OpenBI is related to data mining, since non-experts (as citizens) need guidance during preprocessing and application of mining algorithms due to the complexity of the mining process and the low quality of the data sources. This is even worst when dealing with LOD, not only because of the different kind of links among data, but also because of its high dimensionality. As a consequence, in this position paper we advocate that data mining for OpenBI requires data quality-aware mechanisms for guiding non-expert users in obtaining and sharing the most reliable knowledge from the available LOD.

Towards a reverse engineering approach for guiding user in applying data mining

Comunicación presentada en las XVI Jornadas de Ingeniería del Software y Bases de Datos, JISBD 2011, A Coruña, 5-7 septiembre 2011.

The OpAL System at NTCIR 8 MOAT

The present is marked by the availability of large volumes of heterogeneous data, whose management is extremely complex. While the treatment of factual data has been widely studied, the processing of subjective information still poses important challenges. This is especially true in tasks that combine Opinion Analysis with other challenges, such as the ones related to Question Answering. In this paper, we describe the different approaches we employed in the NTCIR 8 MOAT monolingual English (opinionatedness, relevance, answerness and polarity) and cross-lingual English-Chinese tasks, implemented in our OpAL system. The results obtained when using different settings of the system, as well as the error analysis performed after the competition, offered us some clear insights on the best combination of techniques, that balance between precision and recall. Contrary to our initial intuitions, we have also seen that the inclusion of specialized Natural Language Processing tools dealing with Temporality or Anaphora Resolution lowers the system performance, while the use of topic detection techniques using faceted search with Wikipedia and Latent Semantic Analysis leads to satisfactory system performance, both for the monolingual setting, as well as in a multilingual one.

Trends and Disparities in Mortality Among Spanish-Born and Foreign-Born Populations Residing in Spain, 1999–2008

Spain’s immigrant population has increased 380 % in the last decade, accounting for 13.1 % of the total population. This fact has led her to become during 2009 the eighth recipient country of international immigrants in the world. The aim of this article is to describe the evolution of mortality and the main causes of death among the Spanish-born and foreign-born populations residing in Spain between 1999 and 2008. Age-standardised mortality rates (ASRs), average age and comparative mortality ratios among foreign-born and Spanish-born populations residing in Spain were computed for every year and sub-period by sex, cause of death and place of birth as well as by the ASR percentage change. During 1999–2008 the ASR showed a progressive decrease in the risk of death in the Spanish-born population (−17.8 % for men and −16.6 % for women) as well as in the foreign-born one (−45.9 % for men and −35.7 % for women). ASR also showed a progressive decrease for practically all the causes of death, in both populations. It has been observed that the risk of death due to neoplasms and respiratory diseases among immigrants is lower than that of their Spanish-born counterparts, but risk due to external causes is higher. Places of birth with the greater decreases are Northern Europe, Eastern Europe, Western Europe, Southern Europe, and Latin America and the Caribbean. The research shows the differences in the reduction of death risk between Spanish-born and immigrant inhabitants between 1999 and 2008. These results could contribute to the ability of central and local governments to create effective health policy. Further research is necessary to examine changes in mortality trends among immigrant populations as a consequence of the economic crisis and the reforms in the Spanish health system. Spanish data sources should incorporate into their records information that enables them to find out the immigrant duration of permanence and the possible impact of this on mortality indicators.

Fenomenología: una visión investigativa para enfermería

La disciplina de enfermería necesita identificarse con una filosofía que le permita otorgar un sentido interpretativo a los fenómenos sociales o individuales; y la investigación cualitativa ofrece la metodología necesaria para llevar a cabo la interpretación de los significados bajo un análisis crítico y reflexivo. El objetivo del presente trabajo fue reflexionar sobre diferentes tradiciones filosóficas en torno a la fenomenología, al explorar los pensamientos de Edmund Husserl, Martin Heidegger y Alfred Schütz. Se realizó un ensayo teórico cuyo insumo literario se obtuvo de repositorios y fuentes de datos electrónicas, se incluyeron artículos publicados de los años 2010 al 2014, se utilizaron combinaciones de ocho palabras clave y se excluyeron aquellos artículos que no mencionaron el enfoque teórico de los filósofos de interés. Se concluye que las tres perspectivas filosóficas plantean una estrategia metodológica factible de ser utilizada dentro de la investigación cualitativa en enfermería, ya sea bajo la escuela descriptiva de Husserl, la postura interpretativa de Heidegger o la visión social de Schütz.