Now showing items 486-505 of 1009

  • Kappa-Join: Efficient Execution of Existential Quantification in XML Query Languages 

    Brantner, M; Helmer, S; Kanne, CC; Moerkotte, G (Springer, 2006)
    XML query languages feature powerful primitives for formulating queries, involving comparison expressions which are existentially quantified. If such comparisons involve several scopes, they are correlated and, thus, become ...
  • Key Challenges in Early-Stage Software Startups 

    Giardino C; Bajwa SS; Wang X; Abrahamsson P (Springer, 2015)
    Software startups are newly created companies designed to grow fast. The uncertainty of new markets and development of cutting-edge technologies pose challenges different from those faced by more mature companies. In this ...
  • KISS MIR: Keep It Semantic and Social Music Information Retrieval 

    Dridi, A; Kacimi, M (KDIR, 2015)
    While content-based approaches for music information retrieval (MIR) have been heavily investigated, user- centric approaches are still in their early stage. Existing user-centric approaches use either music-context or ...
  • Knowledge-enriched Data Management 

    Calvanese D (Schloss Dagstuhl, 2016)
    The working group identified four important practical challenges: 1. Develop personalized and context-aware data access and management tools. Data in this case is highly heterogenous, multi-model and multi-modal. Here we ...
  • L'Extreme apprenticeship funziona davvero 

    Dodero, G; Barazzuol, L; Bersanetti, A; Bolliri, S; Caruso, B; Ferrante, A; Inguanta, CS; Osti, R; Saba, G; Serra, A; Zanon, P; Del Fatto, V (AICA, 2015)
    Il lavoro sintetizza diverse esperienze di insegnamento dell’Informatica nelle Province Autonome di Trento e Bolzano. Caratteristica comune alle esperienze è l’utilizzo della metodologia didattica “Extreme Apprenticeship”. ...
  • La sostenibilità come elemento fondamentale di valore nelle fasi preliminari della progettazione 

    Maccioni L; Borgianni Y (Politecnico di Milano, 2017)
    La produzione ed il consumo di massa, guidati unicamente da fattori economici, hanno avuto effetti negativi sulle sfere sociali ed ambientali. La necessità di implementare nuove strategie di innovazione rivolte ad orientare ...
  • Labeling the Frames of a Video Stream with Interval Events 

    Persia F; Bettini F; Helmer S (IEEE, 2017)
    We propose a framework for detecting medium-level events referring to intervals of frames of a video stream. The detected events can serve as input for an earlier developed framework detecting high-level surveillance events. ...
  • Language-independent clone detection applied to plagiarism detection 

    Brixtel R; Fontaine M; Lesner B; Bazin C; Robbes R (IEEE Computer Society, 2010)
    Clone detection is usually applied in the context of detecting small-to medium scale fragments of duplicated code in large software systems. In this paper, we address the problem of clone detection applied to plagiarism ...
  • A Large-Scale Empirical Study on Self-Admitted Technical Debt 

    Bavota G; Russo B (ACM, 2016)
    Technical debt is a metaphor introduced by Cunningham to indicate "not quite right code which we postpone making it right". Examples of technical debt are code smells and bug hazards. Several techniques have been proposed ...
  • A layered framework for pattern-based ontology evolution 

    Javed M; Abgaz YM; Pahl C ([s.n.], 2011)
    The challenge of ontology-driven modelling of information components is well known in both academia and industry. In this paper, we present a novel approach to deal with customisation and abstraction of ontology-based model ...
  • Layered patterns in modelling and transformation of service-based software architectures 

    Barrett R; Pahl C (Springer, 2006)
    Service-oriented architecture is a recent paradigm for architectural design. The software engineering aspects in this context, that have not been sufficiently addressed, are software evolution and software migration. ...
  • The LDOS-PerAff-1 Corpus of Face Video Clips with Affective and Personality Metadata 

    Tkalčič M; Tasič J; Košir A (Multimodal-Corpora.org, 2009)
    This paper presents a corpus of video clips of users responding to emotional stimuli. The corpus is unique for two reasons. First, the emotions are annotated in the valence-arousal-dominance space instead of the usual ...
  • Lean Kernels in Description Logics 

    Peñaloza R; Mencía C; Ignatiev A; Marques-Silva J (Springer, 2017)
    Lean kernels (LKs) are an effective optimization for deriving the causes of unsatisfiability of a propositional formula. Interestingly, no analogous notion exists for explaining consequences of description logic (DL) ...
  • Lean startup: why large software companies should care 

    Edison H; Wang X; Abrahamsson P (ACM, 2015)
    Software industry has been shifting from traditional, plan-based software development to agile software development. Agile seems able to prescribe on how to develop a working software faster, but is still unable to give ...
  • Learning DecSerFlow models from labelled traces 

    Lamma E; Mello P; Montali M; Riguzzi F; Storari S (Oregon State University, 2007)
  • "Learning Together": University experiences with students with cognitive difficulties 

    Dodero G; Lorenz WA; Rainer S; Weihrauter S (Universita di Torino, 2016)
    The Free University of Bozen-Bolzano has arranged during 2014 „Learning Together“, a course with and for students with cognitive difficulties. The course, which as far as we know is unique of its kind across Italy, originated ...
  • Learning User Preferences by Observing User-Items Interactions in an IoT Augmented Space 

    Massimo D; Elahi M; Ricci F (ACM, 2017)
    Recommender systems generate recommendations by analysing which items the user consumes or likes. Moreover, in many scenarios, e.g., when a user is visiting an exhibition or a city, users are faced with a sequence of ...
  • Leveraging Relational Technology for Data-Centric Dynamic Systems 

    Calvanese D; Montali M; Patrizi F; Rivkin A (Curran, 2015)
    We base our work on a model called data-centric dynamic system (DCDS), which can be seen as a framework for modeling and verification of systems where both the process controlling the dynamics and the manipulation of data ...
  • Leveraging Robot Programming to Foster Computational Thinking 

    Fronza I; El Ioini N; Corral L (ScitePress, 2017)
     In 2013, ACM recognized Computational Thinking (CT) as “one of the fundamental skills desired of all graduates”. This means that, especially in liberal education environments, one of the challenges of CT courses is to ...
  • Life-Logging for Healthcare Proactive Advisory Systems 

    Nguyen, TS; Ricci, F; Zini, F; Granconato, M (CEUR, 2014)
    Proactive Advisory Systems (PASs) are an extension of Recommender Systems (RSs) that push suggestions and advice even if not explicitly requested, while adapting such advice to the specific contextual situation of the user. ...