A5089975274- Semantic Web and Ontologies
- Dialysis and Renal Disease Management
- Advanced Text Analysis Techniques
- Technology Adoption and User Behaviour
- Natural Language Processing Techniques
- Parathyroid Disorders and Treatments
- Sentiment Analysis and Opinion Mining
- Web Data Mining and Analysis
- Data Visualization and Analytics
- Kidney Stones and Urolithiasis Treatments
- Biomedical Text Mining and Ontologies
- Online Learning and Analytics
- Service-Oriented Architecture and Web Services
- Knowledge Management and Sharing
- Computational and Text Analysis Methods
- Biomedical Research and Pathophysiology
- Financial Distress and Bankruptcy Prediction
- Sustainable Building Design and Assessment
- Management and Organizational Studies
- Pediatric Hepatobiliary Diseases and Treatments
- Mental Health Research Topics
- Healthcare and Environmental Waste Management
- Advanced Database Systems and Queries
- Consumer Market Behavior and Pricing
- Ethics in Business and Education
University of Trento
2015-2021
University of Salerno
2008-2018
National Research Council
2014-2017
Institute for High Performance Computing and Networking
2017
Association for Computing Machinery
2006-2007
Purpose An ever-growing body of knowledge demonstrates the correlation among real-world phenomena and search query data issued on Google, as showed in literature survey introduced following. The purpose this paper is to introduce a pipeline, implemented web service, which, starting with recent Google Trends, allows decision maker monitor Twitter’s sentiment regarding these trends, enabling users choose geographic areas for their monitors. In addition positive/negative sentiments about...
The aim of this work is to review a specific learning analytics method - sentiment analysis in the field Higher Education, showing how it employed monitor student satisfaction on different platforms, and propose an architecture Sentiment Analysis for Education purposes, which trace unify what emerges from literature review. First, carried out, proves widespread increasing interest communities, both scholars practitioners, use Education. analysis, focused three e-learning domains, identifies...
A body of knowledge shows the emerging evidence according to a better account for emotional spectrum is achievable by employing complete selection emotion keywords. Basic emotions, such as Ekman's ones, cannot be considered universal, but are related with implicit thematic affairs within corpus under analysis. The paper tracks some preliminary experiments obtained data-driven methodology that captures relying on domain data you want model. experimentation consists investigating corresponding...
Background: The objective of this study was to validate the Simplified Acute Physiology Score SAPS 3 Admission (SAPS 3) and compare its fit with that II in an independent sample patients admitted a single‐centre intensive care unit (ICU). Methods: data for all adult consecutively eight‐bed ICU 700‐bed university hospital between 1 January 2006 2 September 2007 were collected. computed, as well predicted mortality. calibration 3, according general equation (GE), equations Southern Europe...
We will present our experience and preliminary data about the correlation between cardiac calcification QT interval (and dispersion) in uraemia. studied 32 haemodialysis (HD) patients (age 69 ± 16 years, time on dialysis 27 months) 12 chronic kidney disease stage 4 (CKD-4) 66 17 uraemia duration 38 months). The were characterized by a good mineral control, as shown serum phosphate levels (3.6 1.3 mg/dl CKD-4 4.3 1.6 HD patients) Ca × P product (46 49...
With the growth of online shopping, buyers are faced with information and cognitive overload, entailing worse buyers' decisions. Various decision aids, more implemented as web services, aim at reducing this overload. Often they implement compensatory strategies that enable desirable undesirable values a product attribute to compensate each other. However, increasing number options beyond handful can lead poor choices, decreasing satisfaction (i.e., paradox choice). In such situation,...
Business management and, more generally, decision makers, are increasingly aware of the importance corporate social responsibility and ethical choices within strategic business vision. The number tools (e.g., board directors, organization actions), levers cultural, example direct boss) rules protocols, certifications, law decrees) available, however, makes it difficult for to identify set best practices be adopted its own organization. Further, task is even when called upon choose these...
The deployment of semantic web in the context learning requires a multidimensional consideration critical issues mostly related with integration Semantic Web technologies into context. main purpose this article is to discuss depth concept domain ontologies and their role for effectiveness web-based e-learning applications. representation content exploitation are analysed semantic-based prototype, which will be basis an FP7 STREP Project proposition. knowledge acquisition process continuous...
Vascular calcifications have been previously shown to be an independent predictor of mortality in dialysis patients and a similar association has for arterial stiffness. Nonetheless, the relationship between vascular pulse wave velocity (PWV) so far little explored. The goal this study is verify correlation among rigidity wall at start. Accordingly, we investigated aortic PWV coronary calcification measured by computed tomography (TC-score) 105 adult incident hemodialysis patients. resulted...
Situation awareness (the Good) is a challenging approach aiming at realizing artifacts being aware of what happens in the environment around them. Big data Ugly) includes datasets whose magnitude far away processed by traditional techniques. The Bad authors' framework that, even knowing about ideal situation, represented Good, they realize presence Ugly and face decision, that it will not be best but still important order to mine nuggets from cache gold. As every successful story, mission...
Pay-per-click advertising is one of the most paved ways online today. However top ranking keywords are extremely costly. Since search terms have a "long tail" behaviour, they may be used for more cost-effective way selecting right keywords, achieving similar traffic, and reducing cost considerably. This paper proposes methodology that, exploiting linguistic knowledge, identifies effective bid keyword in long tail distribution. The experiments show that these highly relevant (90% average...
Nowadays computers are becoming ever smaller and cheaper, as a result they have become available everywhere. One major drawback of the small computing devices is their screen (e.g., PDA's smartphones) that makes it harder to view large amounts information. The problem even worse given flood information today's users facing in daily tasks. This paper presents LAKE, flexible summarization system consisting different independent linguistic modules can easily be configured parameterized. used...
The invention of the Semantic Web and related technologies is fostering a computing paradigm that entails shift from databases to Knowledge Bases (KBs). There core ontology plays main role in enabling reasoning power can make implicit facts explicit; order produce better results for users. In addition, KB-based systems provide mechanisms manage information semantics thereof, semantically interoperable as such exchange share data between them. overcome interoperability issues exploit benefits...