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,...
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Thèse de doctorat : Université de Fribourg, 2020.
This thesis intends to present some advances in fuzzy statistical analyses. A particular distance between fuzzy numbers called the signed distance, seems to be appealing because of its directional property. It has the ability of describing the direction of travel between two fuzzy numbers. In addition, it has been often used as a fuzzy ranking tool or a defuzzification operator. Despite the...
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Thèse de doctorat : Université de Fribourg, 2020 ; no. 2192.
We live in an Information Age, facing a rapid increase in the amount of information that is exchanged. This permanently growing amount of data makes the ability to store, analyze, and act upon information a primary concern (in addition to the obvious privacy, legal and ethical issues that are related), raising the question: “How can one consume Big Data and transformit into actionable...
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Thèse de doctorat : Université de Fribourg, 2018 ; no. 2098.
When entering a new era of digital societies, a vast number of digital footprints left by users becomes a new source of the economic good. A heavy exploitation of Big data, artificial intelligence, cognitive computing, amongst others, makes the data more valuable implying that the risk to people’s privacy will be ever-increasing. Especially, when their privacy decisions are confronted with...
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Thèse de doctorat : Université de Fribourg, 2017 ; no. 2003.
This thesis discusses tangible gesture interaction, a novel paradigm for interacting with computer that blends concepts from the more popular fields of tangible interaction and gesture interaction. Taking advantage of the human innate abilities to manipulate physical objects and to communicate through gestures, tangible gesture interaction is particularly interesting for interacting in smart...
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Thèse de doctorat : Université de Fribourg, 2016 ; no 1970.
Technical and scientific knowledge is produced at an ever-accelerating pace, leading to increasing issues when trying to automatically organize or process it, e.g., when searching for relevant prior work. Knowledge can today be produced both in unstructured (plain text) and structured (metadata or linked data) forms. However, unstructured content is still themost dominant formused to represent...
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Thèse de doctorat : Université de Fribourg, 2014.
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Thèse de doctorat : Université de Fribourg, 2014 ; no. 1822.
As the use of the Internet proliferates, so does the amount of information available. With the introduction of Web 2.0, which includes users as content generators, finding relevant information is even more complex. To tackle this problem of information overload, a number of different techniques have been introduced, including search engines, Semantic Web, and recommender systems, among others....
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Thèse de doctorat : Université de Fribourg, 2012 ; Nr. 1751.
“Inductive fuzzy classification” (IFC) is the process of assigning individuals to fuzzy sets for which membership functions are based on inductive inferences. In this thesis, different methods for membership function induction and multivariate aggregation are analyzed. For univariate membership function induction, the current thesis proposes the normalized comparisons (ratios and differences)...
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Thèse de doctorat : Université de Fribourg, 2012.
Today's complex organizations such as hospitals, banks, airline companies, rely on sophisticated information systems to process large volume of data necessary to conduct their daily business. These information systems often inherit many weaknesses from the past during their life cycle. This is due to the fact that the organizations must preserve massive past investment in what we call legacy...
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