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start [2020/06/09 15:19] – [Research] adminstart [2022/11/01 18:51] (current) gilles
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-**Knowledge Engineering @ CUI** is a research laboratory of the Institute for Information Service Science ([[http://iss.uni +**Knowledge Engineering @ CUI** is a research laboratory of the  Information science institute  which is part of the Center for Computing at the University of Geneva. We are conducting interdisciplinary research on different aspects of knowledge engineering.
-ge.ch|ISS]]) within the Center for Computing ([[http://cui.unige.ch|CUI]]) at the University of Geneva. KE@ISS is conductin +
-research on knowledge engineering: knowledge representation, knowledge-based information systems, and interfaces to acces +
-s knowledge, with an emphasis on semantic digital libraries, semantic web, and space-related applications.+
  
   * [[members |Members]]   * [[members |Members]]
  
  
-===== Research Topics =====+==== Research topics ====
  
-==== SUBSURFACE ====+**Contextualization in ontologies and knowledge graphs.** In large knowledge graphs, such as Wikidata, the statements are generally accompanied with contextual information that specify their temporal or spatial validity, or express their cause, provenance, certainty, etc. This type of information must be taken into account when performing queries or inferences on these graphs. [[contexts-in-KG|more ...]]
  
-Representing subsurface objects and compliance/completion rules in city models+**Semantics of 3D geographic objects.** The representation of geographic entities consists in representing their (3D) geometry  and other abstract properties (function, usage, historical data, etc.) It is also important to represent their temporal evolution, the uncertainty about their shape and location (in particular for subsurface objectsand rules that apply to these objects (e.g. construction compliance rules) [[semantic-geo-info|more ...]]
  
-==== Adaptive interfaces for behaviour change applications ====+** Adaptive interfaces for behaviour change applications.** It is now well established that the effectiveness of behaviour change applications (e.g. application to help adopt a healthier diet, or to stop smoking) depends on their adaptation to the psychological profile of their users. Our objective is to provide application developers with a knowledge base and guidelines to choose the best application design for the intended users. [[behaviour-change-app|more ...]]
  
-==== SPIRIT: security in the internet of things ====+** Scientific knowledge access and visualization. ** Knowledge workers such as scientists need to efficiently find knowledge items in various sources that can range from historical scientific manuscripts to textbooks, scientific articles, or knowledge bases. This requires the definition of models for representing scientific knowledge objects (hypothesis, theorems, laws, observations, ...) and for visualizing them. [[sci-knowledge-viz|more ...]]
  
-==== Contextualization in ontologies and knowledge graphs ==== 
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-==== Conceptual models for citizen science ==== 
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-==== The visualisation of scientific knowledge ====