Articles - Computer Science
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Semantic DMN: Formalizing and Reasoning About Decisions in the Presence of Background Knowledge
(2019)The Decision Model and Notation (DMN) is a recent OMG standard for the elicitation and representation of decision models, and for managing their interconnection with business processes. DMN builds on the notion of decision ... -
On Expansion and Contraction of DL-Lite Knowledge Bases
(2019)Knowledge bases (KBs) are not static entities: new information constantly appears and some of the previous knowledge becomes obsolete. In order to reflect this evolution of knowledge, KBs should be expanded with the new ... -
Listening to the Crowd for the Release Planning of Mobile Apps
(2019)The market for mobile apps is getting bigger and bigger, and it is expected to be worth over 100 Billion dollars in 2020. To have a chance to succeed in such a competitive environment, developers need to build and maintain ... -
VIG: Data Scaling for OBDA Benchmarks
(2019)In this paper we describe VIG, a data scaler for Ontology-Based Data Access (OBDA) benchmarks. Data scaling is a relatively recent approach, proposed in the database community, that allows for quickly scaling an input data ... -
Improving Time-aware Recommendations in Open Source Packages
(2019)Collaborative filtering techniques have been studied extensively during the last decade. Many open source packages (Apache Mahout, LensKit, MyMediaLite, rrecsys etc.) have implemented them, but typically the top-N ... -
Counteracting the filter bubble in recommender systems: Novelty-aware matrix factorization
(2019)The search for unfamiliar experiences and novelty is one of the main drivers behind all human activities, equally important with harm avoidance and reward dependence. A recommender system personalizes suggestions to ... -
Personalised Novel and Explainable Matrix Factorization
(2019)Recommendation systems personalise suggestions to individuals to help them in their decision making and exploration tasks. In the ideal case, these recommendations, besides of being accurate, should also be novel and ... -
Solving k-center Clustering (with Outliers) in MapReduce and Streaming, almost as Accurately as Sequentially
(2019)Center-based clustering is a fundamental primitive for data analysis and becomes very challenging for large datasets. In this paper, we focus on the popular k-center variant which, given a set S of points from some metric ... -
OCL_FO: first-order expressive OCL constraints for efficient integrity checking
(2019)OCL is the standard language for defining constraints in UML class diagrams. Unfortunately, as we show in this paper, full OCL is so expressive that it is not possible to check general OCL constraints efficiently. In ... -
Automatic Identification and Classification of Software Development Video Tutorial Fragments
(2019)Software development video tutorials have seen a steep increase in popularity in recent years. Their main advantage is that they thoroughly illustrate how certain technologies, programming languages, etc. are to be used. ... -
Co-designing wearable devices for sports: The case study of sport climbing
(2019)This paper presents the co-design process of a wearable device for rock climbing, an extreme sport that requires high physical, emotional, and cognitive involvement. From the preliminary investigation of climbers’ needs, ... -
La progettazione partecipata come pratica e politica per costruire ambienti tecnologicamente densi
(2014)L'articolo riassume le basi intellettuali del lavoro svolto collettivamente dagli autori presso il Dipartimento di Ingegneria e Scienza dell'Informazione dell'Università di Trento per rispondere a una delle domande poste ... -
Correction: Algorithmic modeling quantifies the complementary contribution of metabolic inhibitions to gemcitabine efficacy (PLoS ONE)
(Public Library of Science, 2013) -
Biological network inference for drug discovery
(2013)A better understanding of the pathophysiology should help deliver drugs whose targets are involved in the causative processes underlying a disease. Biological network inference uses computational methods for deducing from ... -
Beth Definability in Expressive Description Logics
(2013)The Beth definability property, a well-known property from classical logic, is investigated in the context of description logics: if a general L-TBox implicitly defines an L-concept in terms of a given signature, where L ... -
Exact Query Reformulation over Databases with First-order and Description Logics Ontologies
(2013)We study a general framework for query rewriting in the presence of an arbitrary first-order logic ontology over a database signature. The framework supports deciding the existence of a safe-range first-order equivalent ... -
Image Schema Combinations and Complex Events
(2019)Formal knowledge representation struggles to represent the dynamic changes within complex events in a cognitively plausible way. Image schemas, on the other hand, are spatiotemporal relationships used in cognitive science ... -
Stochastic chemical kinetics: A review of the modelling and simulation approaches
(Springer Verlag, 2013)A review of the physical principles that are the ground of the stochastic formulation of chemical kinetics is presented along with a survey of the algorithms currently used to simulate it. This review covers the main ... -
An integrative network inference approach to predict mechanisms of cancer chemoresistance
(2013)We present an integrative general network inference methodology to infer genetic and metabolic pathways associated with oncological drug chemoresistance. This methodology is general because it can infer different kinds of ... -
Parameter sensitivity analysis of stochastic models: Application to catalytic reaction networks
(2013)A general numerical methodology for parametric sensitivity analysis is proposed, which allows to determine the parameters exerting the greatest influence on the output of a stochastic computational model, especially when ...
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