Differences

This shows you the differences between two versions of the page.

--- start [2021/07/08 13:56] – [Research actions] admin
+++ start [2022/11/01 17:51] (current) – gilles
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-**Knowledge Engineering @ CUI** is a research laboratory of the  [[https://www.unige.ch/gsem/fr/recherche/instituts/isi/|Information science institute]] which is part of the Center for Computing at the University of Geneva. We are conducting research on knowledge engineering: knowledge representation, knowledge-based information systems, and interfaces to access knowledge.
+**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.
   * [[members |Members]]
-===== Research actions =====
+==== Research topics ====
+**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 ...]]
+**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 objects) and rules that apply to these objects (e.g. construction compliance rules) [[semantic-geo-info|more ...]]
+** 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 ...]]
+** 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 ...]]
-  * SUBSURFACE: Representing subsurface objects and compliance/completion rules in city models
-  * Adaptive interfaces for behaviour change applications
-  * Contextualization in ontologies and knowledge graphs
-  * Conceptual models for citizen science
-  * The visualisation of scientific knowledge
-  * The semantic publishing of Ferdinand de Saussure's manuscripts