Recent Submissions

  • Preference elicitation for group recommender systems 

    Nguyen TN; Ricci F (CEUR-WS.org, 2017)
    In group decision making, users' behaviour are influenced by their long-Term and group-induced preferences. However, how to leverage them is challenging due to their dynamic nature, which is also dependent on the specific ...
  • Using a Cloud Broker API to Evaluate Cloud Service Provider Performance 

    Elango DM; Fowley F; Pahl C (University of Oslo, 2017)
    We introduce here a cloud service broker that implements a multi-cloud abstraction API with the aim to use it for performance comparisons between different services. Our broker is a multi-cloud storage API that supports a ...
  • Understanding Predication in Conceptual Spaces 

    Masolo C; Porello D (IOS Press, 2016)
    We argue that a cognitive semantics has to take into account the possibly partial information that a cognitive agent has of the world. After discussing Gardenfors's view of objects in conceptual spaces, we offer a number ...
  • Semantic DMN: Formalizing Decision Models with Domain Knowledge 

    Calvanese D; Dumas M; Maggi FM; Montali M (Springer, 2017)
    The Decision Model and Notation (DMN) is a recent OMG standard for the elicitation and representation of decision models. DMN builds on the notion of decision table, which consists of columns representing the inputs and ...
  • Personality Traits Predict Music Taxonomy Preferences 

    Ferwerda B; Yang E; Schedl M; Tkalcic M (ACM, 2015)
    Music streaming services increasingly incorporate additional music taxonomies (i.e., mood, activity, and genre) to provide users different ways to browse through music collections. However, these additional taxonomies can ...
  • A Framework for Comparing Interactive Route Planning Apps in Tourism 

    Pugacs S; Helmer S; Zanker M (CEUR-WS.org, 2017)
    Route planning applications are digital companions of many travelers, enabling them to experience different locations in a self-determined way. This work surveys the variety of commercial applications and research prototypes ...
  • Query-Based Entailment and Inseparability for ALC Ontologies 

    Botoeva E; Lutz C; Ryzhikov V; Wolter F; Zakharyaschev M (AAAI Press, 2016)
    We investigate the problem whether two ALC knowledge bases are indistinguishable by queries over a given vocabulary. We give model-theoretic criteria and prove that this problem is undecidable for conjunctive queries (CQs) ...
  • Cost-Driven Ontology-Based Data Access 

    Lanti D; Xiao G; Calvanese D (Springer, 2017)
    SPARQL query answering in ontology-based data access (OBDA) is carried out by translating into SQL queries over the data source. Standard translation techniques try to transform the user query into a union of conjunctive ...
  • Using developer interaction data to compare expertise metrics 

    Robbes R; Röthlisberger D (IEEE Computer Society, 2013)
    The expertise of a software developer is said to be a crucial factor for the development time required to complete a task. Even if this hypothesis is intuitive, research has not yet quantified the effect of developer ...
  • Code duplication in ROS launchfiles 

    Estefo P; Robbes R; Fabry J (IEEE Computer Society, 2016)
    The middleware for robotics ROS has become the de-facto standard for developing robot applications. Thanks to our experience using ROS we conjectured that the quality of code of ROS is low, yielding a poor user experience ...
  • Replication and reproduction in recommender systems research: Evidence from a case-study with the rrecsys library 

    Çoba L; Zanker M (Springer, 2017)
    Recommender systems (RS) are a real-world application domain for Artificial Intelligence standing at the core of massively used e-commerce and social-media platforms like Amazon, Netflix, Spotify and many more. The research ...
  • "I'd like it to do the opposite": Music-Making Between Recommendation and Obstruction 

    Knees P; Andersen K; Tkalcic M (CEUR-WS.org, 2015)
    To build new and rethink existing interfaces for producing and working creatively with electronic music, we are engaged in an ongoing conversation with professional musicians. With regard to getting suggestions on musical ...
  • Monitoring Multicopters Energy Consumption 

    Fronza I; El Ioini N; Corral L; Moroder M (Association for Computing Machinery, Inc, 2017)
    Multicopters are small, typically unmanned helicopters having more than two rotors. The wide range of possible applications of multicopters, spanning from environmental research to recreation, has raised the need to come ...
  • Towards Statistical Reasoning in Description Logics over Finite Domains 

    Peñaloza R; Potyka N (Springer, 2017)
    We present a probabilistic extension of the description logic ALC for reasoning about statistical knowledge. We consider conditional statements over proportions of the domain and are interested in the probabilistic-logical ...
  • Preface: EMPIRE 2015 - 3rd workshop on emotions and personality in personalized services 

    Tkalčič M; De Carolis B; De Gemmis M; Odić A; Košir A (Association for Computing Machinery, 2015)
    The 3rd Workshop on Emotions and Personality in Personalized Systems (EMPIRE) is taking place in Vienna on September 19th, 2015 in conjunction with the ACM RecSys 2015 conference. The workshop focuses on the acquisition ...
  • On the Influence of User Characteristics on Music Recommendation Algorithms 

    Schedl M; Hauger D; Farrahi K; Tkalcic M (Springer, 2015)
    We investigate a range of music recommendation algorithm combinations, score aggregation functions, normalization techniques, and late fusion techniques on approximately 200 million listening events collected through ...
  • Disparity Estimation Using Convolutional Neural Networks with Multi-scale Correlation 

    Jammal S; Tillo T; Xiao J (Springer, 2017)
    Disparity estimation is a long-standing task in computer vision and multiple approaches have been proposed to solve this problem. A recent work based on convolutional neural networks, which uses a correlation layer to ...
  • Predicting Personality Traits with Instagram Pictures 

    Ferwerda B; Schedl M; Tkalcic M (ACM, 2015)
    Instagram is a popular social networking application, which allows photo-sharing and applying different photo filters to adjust the appearance of a picture. By applying photo filters, users are able to create a style that ...
  • Semantic Rules for Machine Diagnostics: Execution and Management 

    Kharlamov E; Savkovic O; Xiao G; Penaloza R; Mehdi G; Roshchin M; Horrocks I (ACM, 2017)
    Rule-based diagnostics of equipment is an important task in industry. In this paper we present how semantic technologies can enhance diagnostics. In particular, we present our semantic rule language sigRL that is inspired ...
  • The participatory design process of tangibles for children’s socio-emotional learning 

    Gennari R; Melonio A; Rizvi M (Springer, 2017)
    Education researchers voice the need of technology that can aid in the scaffolding of socio-emotional learning of primary-school children. In particular supporting norms for conversing with peers can enhance children’s ...

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