Difference between revisions of "Cecilia Zanni-Merk"

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Senior Tenured Associate Professor of Computer Science at INSA de Strasbourg
Deputy Head of the SDC team of ICube
In charge of the International Relationships of the Mechanical Engineering Department at INSA de Strasbourg

Research Projects

My main research interests are in Knowledge Engineering, and more particularly in conceptual representation and inference processes applied to problem solving in Engineering.

Semantic Region Labeling for Remote Sensing Image Interpretation

The increasing availability of High Spatial Resolution satellite images is an opportunity to characterize and identify urban objects. Image analyses methods using object-based approaches based on the use of domain knowledge, are necessary to classify data. A major issue in these approaches is domain knowledge formalization and exploitation. The use of formal ontologies seems a judicious choice to deal with these issues. Therefore, the aim of these works is to highlight the benefits in the use of a thematic ontology for automatic regions labelling. Description logics (DL) are being used to exploit the knowledge in the ontologies and develop software tools to assist the automatic labelling of satellite images.

In the framework of these works, I participate in two projects funded by the French National Research Agency, FOSTER and COCLICO

Semantic Technologies for Industry 4.0

Several axes appear in these works:

The first axis was initially focused on the formalisation of IDM (Inventive Design Methodology) that is applied by companies to improve their R&D activities. A knowledge manager was developed to assist the IDM experts during their activities. Indeed, during a new study, experts are brought to work with various models at different levels of abstraction. The knowledge manager suggests the experts the use of the relevant knowledge sources (barely formalised in natural language), consistent with the level of abstraction of the model they are building. The manager is also able to complete the rest of the models, by exploiting the semantinc links obtained among the different knowledge sources.

We are currently working in the capitalisation of experience of past studies to improve the whole inventive process, by the application of succesfull results to new cases that can belong to a complete different domain. Case-Based Reasoning and SOEDS and DDNA technologies will be used with this aim.

The second axis is focused on the Formalization of the touch control process of a product. The proposed research work aims to study the tactile perception. Indeed, in the context of quality control, it is this type of perception that is more requested, the controller generally operates exploratory movements with his hand to control the product.

Therefore in this research project, we will focus on the development of an hardware and software IDA (intelligent data analysis) platform capable of supporting various mechanisms for analysis of unstructured data from sensor networks. This scan task involves an artificial perception process designed to abstract the characteristics observed by sensors on domain concepts that describe the object of study. A key aspect of this project is to define a strategy for anchoring symbols to build interpretations at different levels of abstraction.

Publications

The complete list of my publications can be found here.

Teaching

JAVA programming
UML and object oriented programming
Introduction to data bases
Scilab programming
Numerical analysis
Artificial Intelligence
Knowledge acquisition and management

Contact

Cecilia Zanni-Merk
ICube - UMR 7357
300 Bd Sébastien Brant - BP 10413
67412 Illkirch Cedex
Tel : +33 (0)3 68 85 45 79
Fax : +33 (0)3 68 85 44 55 
courriel : cecilia.zanni-merk @ unistra.fr

@@ Line 2: / Line 2: @@
 * Senior Tenured Associate Professor of Computer Science at [http://www/insa-strasbourg.fr INSA de Strasbourg]
-* Deputy Head of the [http://icube-bfo.unistra.fr/fr/index.php/Accueil BFO] team of [http://icube.unistra.fr/ ICube]
+* Deputy Head of the [http://icube-sdc.unistra.fr/fr/index.php/Accueil SDC] team of [http://icube.unistra.fr/ ICube]
-* Leader of the [http://icube-bfo.unistra.fr/en/index.php/Knowledge_engineering Knowledge Engineering] group of the BFO team of ICube
 * In charge of the International Relationships of the Mechanical Engineering Department at INSA de Strasbourg
-* In charge of the Center of Computer Based Educational Resources at INSA de Strasbourg
@@ Line 13: / Line 12: @@
-===Optimization guided by ontologies and by the capitalization of prior knowledge===
-This project seeks to optimize the journeys undertaken by a fleet of vehicles in an area, based on a large number of constraints (traffic conditions, vehicle type, "social" or "union" constraints, etc.).  In this context, the structuring of the data needed to properly represent a situation and to take into account the constraints with an approach oriented towards  multi-criteria optimization becomes essential. We propose to  knowledge engineering techniques, particularly the creation of a domain ontology to formalize the model of the knowledge base.
-In order to improve the performance of the genetic algorithm, we are also interested in the formalization of decisional knowledge to guide the solutions to these practical optimization problems, by the capitalization of e already acquired knowledge during precedent uses of the developed optimization algorithm and the obtained "results".
-These research works are funded by the [http://www.region-alsace.eu/article/recherche-et-innovation-lalsace-en-pole-position Alsace Region] and the [http://www.en.strasbourg.eu/en/economy-research-dev/higher-education-and-research/strategy-for-higher-education-and-research/ city of Strasbourg].
 ===Semantic Region Labeling for Remote Sensing Image Interpretation===
@@ Line 27: / Line 21: @@
 In the framework of these works, I participate in two projects funded by the French National Research Agency,  [http://foster.univ-nc.nc/ FOSTER] and  [http://icube-coclico.unistra.fr/index.php/ COCLICO]
-===Semantic Technologies for Computer Aided Inventive Design===
+===Semantic Technologies for Industry 4.0===
-These works focus on the modelling of the formulation and problem solving processes of TRIZ (Theory of Inventive Problem Solving). The main objective is the description of all the knowledge bases of TRIZ, to complete the model and make it wholly consistent by the definition of the missing semantic links.
-This formalization should allow the development of an intelligent manager of these knowledge sources, with the aim of assisting the TRIZ expert during his activity. Indeed, during the processing of a new case, experts are brought to work with various models at different levels of abstraction. The knowledge manager should suggest the experts the use of the relevant knowledge sources, consistent with the level of abstraction of the model they are building. The manager will also be able to complete "automatically" the rest of the models, by exploiting the semantinc links obtained among the different knowledge sources.
-We are currently working in the capitalisation of experience to improve the inventive process.
-These works are funded by several national companies.
+Several axes appear in these works:
+* The first axis was initially focused on the formalisation of IDM (Inventive Design Methodology) that is applied by companies to improve their R&D activities.  A knowledge manager was developed to assist the IDM experts during their activities.  Indeed, during a new study, experts are brought to work with various models at different levels of abstraction. The knowledge manager suggests the experts the use of the relevant knowledge sources (barely formalised in natural language), consistent with the level of abstraction of the model they are building. The manager is also able to complete the rest of the models, by exploiting the semantinc links obtained among the different knowledge sources.
+We are currently working in the capitalisation of experience of past studies to improve the whole inventive process, by the application of succesfull results to new cases that can belong to a complete different domain. Case-Based Reasoning and SOEDS and DDNA technologies will be used with this aim.
+* The second axis is focused on the Formalization of the touch control process of a product. The proposed research work aims to study the tactile perception. Indeed, in the context of quality control, it is this type of perception that is more requested, the controller generally operates exploratory movements with his hand to control the product.
+Therefore in this research project, we will focus on the development of an hardware and software IDA (intelligent data analysis) platform capable of supporting various mechanisms for analysis of unstructured data from sensor networks. This scan task involves an artificial perception process designed to abstract the characteristics observed by sensors on domain concepts that describe the object of study. A key aspect of this project is to define a strategy for anchoring symbols to build interpretations at different levels of abstraction.
 == Publications ==