• An Architecture-independent Data Model for Managing Information Generated by Human-chatbot Interactions 

  Luca M; Montresor A; Caprini C; Miorandi D (SciTe Press, 2020)

  This paper introduces a data model for representing humans-chatbots interactions. Despite there are many models that allow representing the usage and the behaviour of bots, a service that can store information from any ...
• StuffIE: Semantic Tagging of Unlabeled Facets Using Fine-Grained Information Extraction 

  Prasojo RE; Kacimi M; Nutt W (ACM, 2018)

  Recent knowledge extraction methods are moving towards ternary and higher-arity relations to capture more information about binary facts. An example is to include the time, the location, and the duration of a specific fact. ...
• Semantic Technologies for Data Access and Integration 

  Calvanese D; Xiao G (ACM, 2018)

  Recently, semantic technologies have been successfully deployed to overcome the typical difficulties in accessing and integrating data stored in different kinds of legacy sources. In particular, knowledge graphs are being ...
• Variants of the Block-GMRES Method for Solving Linear Systems with Multiple Right-Hand Sides 

  Sun DL; Carpentieri B; Huang TZ; Jing YF; Naveed S (IEEE, 2018)

  The solution of large linear systems with multiple right-hand sides given simultaneously is required in many largescale scientific and engineering applications modelled by either partial differential or boundary integral ...
• Special Track on Bioinformatics (BIO) 

  Lecca P; Tulpan D; Corchado J (ACM, 2018)
• Enriching Ontology-based Data Access with Provenance 

  Calvanese D; Lanti D; Ozaki A; Peñaloza R; Xiao G (AAAI Press, 2019)

  Ontology-based data access (OBDA) is a popular paradigm for querying heterogeneous data sources by connecting them through mappings to an ontology. In OBDA, it is often difficult to reconstruct why a tuple occurs in the ...
• Learning ontologies with epistemic reasoning: The EL case (Extended Abstract) 

  Ozaki A; Troquard N (CEUR-WS, 2019)
• A toothful of concepts: Towards a theory of weighted concept combination 

  Porello D; Kutz O; Righetti G; Troquard N; Galliani P; Masolo C (CEUR-WS, 2019)

  We introduce a family of operators to combine Description Logic concepts. They aim to characterise complex concepts that apply to instances that satisfy "enough" of the concept descriptions given. For instance, an individual ...
• Pink panthers and toothless tigers: three problems in classification 

  Righetti G; Porello D; Kutz O; Troquard N; Masolo C (CEUR-WS, 2019)

  Many aspects of how humans form and combine concepts are notoriously difficult to capture formally. In this paper, we focus on the representation of three particular such aspects, namely overextension, underextension, and ...
• Weighted Description Logic for Classification Problems 

  Righetti G; Galliani P; Kutz O; Porello D; Masolo C; Troquard N (Easychair, 2019)

  We summarise the definitions and some technical aspects of a familiy of description logics that introduce concept constructors (so-called tooth-operators) which, under various constraints, accumulate weights of concepts. ...
• On Knowledge Dependence in Weighted Description Logic 

  Galliani P; Kutz O; Porello D; Righetti G; Troquard N (Easychair, 2019)

  We study a family of operators (called ‘Tooth’ operators) that combine Description Logic concepts via weighted sums. These operators are intended to capture the notion of instances satisfying “enough” of the concept ...
• An Approach to Evaluate the Complexity of Block-Based Software Products 

  Fronza I; Corral L; Pahl C (2020)

  Computer programming skills have been growing as a professional competence also to unqualified end-users who need to develop software in their professional practice. Quality evaluation models of end-user-developed products ...
• Users’ evaluation of next-POI recommendations 

  Massimo D; Ricci F (CEUR-WS, 2019)

  The performance of a Recommender System (RS) is often assessed offline, by measuring the system accuracy in predicting or reconstructing the observed user ratings or choices. As a consequence, RSs optimised for that ...
• Media Monitoring using News Recommenders 

  Barile F; Ricci F; Tkalcic M; Magnini B; Zanoli R; Lavelli A; Speranza M (CEUR-WS, 2019)
• Soundness verification of decision-aware process models with variable-to-variable conditions 

  Felli P; De Leoni M; Montali M (IEEE, 2019)

  In recent years, there has been an increasing interest in enriching the traditional control-flow perspective of processes with additional dimensions, the data perspective being the most prominent one. At the same time, ...
• Unbounded Orchestrations of Transducers for Manufacturing 

  Alechina N; Brazdil T; De Giacomo G; Felli P; Logan B; Vardi M (AAAI, 2019)

  There has recently been increasing interest in using reactive synthesis techniques to automate the production of manufacturing process plans. Previous work has assumed that the set of manufacturing resources is known and ...
• Workshop on context-aware recommender systems 

  Adomavicius A; Bauman K; Mobasher B; Ricci F; Tuzhilin A; Unger M (ACM, 2019)

  Contextual information has been widely recognized as an important modeling dimension both in social sciences and in computing. In particular, the role of context has been recognized in enhancing recommendation results and ...
• Item recommendation by combining relative and absolute feedback data 

  Kalloori S; Li T; Ricci F (ACM, 2019)

  User preferences in the form of absolute feedback, s.a., ratings, are widely exploited in Recommender Systems (RSs). Recent research has explored the usage of preferences expressed with pairwise comparisons, which signal ...
• Tangible decision-making in sensors augmented spaces 

  Massimo D; Ricci F (CEUR-WS, 2019)

  Recommender Systems (RSs) are web tools aimed at easing users’ online decision-making. Here we propose a complementary scenario: supporting (tangible) decision-making in the physical space. In particular, we propose a novel ...
• Analysing recommender systems impact on users’ choices 

  Hazrati N; Elahi M; Ricci F (CEUR-WS, 2019)

  In this paper we introduce a novel model for simulating the choice making procedure of users under the influence of a Recommender System (RS). Our model leverages the knowledge of users’ preferences and simulates repeated ...

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