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Università della Svizzera italiana

Sensor-based recognition of engagement during work and learning activities

Di Lascio, Elena ; Santini, Silvia (Dir.)

Thèse de doctorat : Università della Svizzera italiana, 2021 ; 2021INFO011.

Personal computing systems like e.g., laptop, smartphone, and smartwatches are nowadays ubiquitous in people's everyday life. People use such systems not only for communicating or searching for information, but also as digital companions, able to track and support their daily activities such as sleep, food intake, physical exercise and even work. Sensors embedded in personal computing systems...

Haute Ecole de Gestion & Tourisme

Data mining in Bioprocesses – Knowledge discovery in databases (IIG part)

Artero, Christopher ; Schumann, René (Dir.)

Mémoire de bachelor : Haute Ecole de Gestion & Tourisme, 2021.

The purpose of this thesis is to create clusters from historical data with and without domain knowledge. The method used to cluster the data with domain knowledge is a pattern matching sequence and the method done without domain knowledge is a clustering algorithm that will be defined later. The data had to be retrieved from four old databases, then prepared to be clustered. A...

Consortium of Swiss Academic Libraries

Primitive ontology and quantum field theory

Lam, Vincent

In: European Journal for Philosophy of Science, 2015, vol. 5, no. 3, p. 387-397

Université de Fribourg

Wiki2Prop : A Multimodal Approach for Predicting Wikidata Properties from Wikipedia

Luggen, Michael ; Audiffren, Julien ; Difallah, Djellel Eddine ; Cudré-Mauroux, Philippe

In: The Web Conference 2021, Ljubljana, Slovenia, April 12-23, 2021, 2021, p. 1-10

Wikidata is rapidly emerging as a key resource for a multitude of online tasks such as Speech Recognition, Entity Linking, Question Answering, or Semantic Search. The value of Wikidata is directly linked to the rich information associated with each entity – that is, the properties describing each entity as well as the relationships to other entities. Despite the tremendous manual and...

Université de Fribourg

Neural Machine Reading for Domain-Specific Text Resources

Arnold, Sebastian ; Cudré-Mauroux, Philippe (Dir.)

Thèse de doctorat : Université de Fribourg, 2020.

The vision of Machine Reading is to automatically understand written text and transform the contained information into machine-readable representations. This thesis approaches this challenge in particular in the context of commercial organizations. Here, an abundance of domain-specific knowledge is frequently stored in unstructured text resources. Existing methods often fail in this scenario,...

Haute école de gestion de Genève

Enabling better aggregation and discovery of cultural heritage content for Europeana and its partner institutions

Raemy, Julien Antoine ; Gaudinat, Arnaud (Dir.)

Mémoire de master : Haute école de gestion de Genève, 2020 ; MASID 96.

Europeana, a non-profit foundation launched in 2008, aims to improve access to Europe’s digital cultural heritage through itsopen data platform that aggregates metadata and links to digital surrogates held by over 3700 providers. The data comes bothdirectlyfrom cultural heritage institutions (libraries, archives, museums) as well as through intermediary aggregators. Europeana’s current...

Università della Svizzera italiana

Building blocks for leveraging in-network computing

Jepsen, Theo ; Soulé, Robert (Dir.) ; Pedone, Fernando (Codir.)

Thèse de doctorat : Università della Svizzera italiana, 2020 ; 2020INFO012.

With the end of Moore's law and Dennard scaling, applications no longer enjoy performance improvements by simply waiting for the next generation of CPUs. This has led to the rise of domain-specific computing. As developers try to squeeze more performance out of applications, they have offloaded application functionality to specialized hardware, such as GPUs, FPGAs and ASICs. Programming these...

Université de Fribourg

Non-parametric class completeness estimators for collaborative knowledge graphs — the case of wikidata

Luggen, Michael ; Difallah, Djellel ; Sarasua, Cristina ; Demartini, Gianluca ; Cudré-Mauroux, Philippe

In: The Semantic Web – ISWC 2019, 2019, p. 453-469

Collaborative Knowledge Graph platforms allow humans and automated scripts to collaborate in creating, updating and interlinking entities and facts. To ensure both the completeness of the data as well as a uniform coverage of the different topics, it is crucial to identify underrepresented classes in the Knowledge Graph. In this paper, we tackle this problem by developing statistical techniques...