Topics for Projects and Thesis @IWM/KC

Contact: Karin Schöfegger (k.schoefegger@tugraz.at)

Als Folksonomy (oder collaborative tagging) wird die gemeinsame Verschlagwortung von diversen Resourcen bezeichnet. Bekannte Beispiele im Web sind del.icio.us (für Bookmarks), flickr (für Fotos), youtube (für Videos) etc. Im Laufe der Zeit verändert sich die entstehende Struktur aus Tags, Usern und Resourcen des zugrundeliegenden tripartiten Graphen. Neue User kommen zur Community hinzu, neue Resourcen werden annotiert, nutzt ein User ein Tagging-System länger, ändert sich auch sein Tagging-Verhalten.

Ziel der Arbeit ist es, die zeitliche Analyse von Folkonomies zu unterstützen. Aus ausgewählten Datenquellen sollen zu bestimmten Themenkreisen regelmäßig aktuelle Daten bestehend aus Usern, Tags, Resourcen und deren Verbindungen eingelesen und (als Graphenstruktur, zB GraphML) gespeichert werden. Diese Graphenstruktur soll in Abhängigkeit des gewählten Zeitpunkts dargestellt werden können. Zusätzlich sollen je nach Interesse versch. Algorithmen implementiert und ausprobiert werden die diese Struktur zu einem bestimmten Zeitpunkt analysieren, zB Clustering Algorithmen, Similarity Measures, etc. oder untersucht werden, wie sich beispielsweise Cluster zeitlich verändern.

Programmiersprachen: Python (zB igraph) oder Java (zB. Jung)

Contact:Viktoria Pammer (vpammer@know-center.at)

The topic “Assessment of description logic inferences of an ontology modelled in a Semantic MediaWiki” belongs to the research field of Modelling and Model Evaluation. Here, with the term Model, we refer to an ontology. The purpose of an ontology in computer science is to formally and unambiguously describe the relevant notions of a domain. People constructing an ontology need to be supported by design methodologies, tools and methods to create and evaluate their ontologies.

For a Bachelor or Master Thesis or Project in the field of Modelling and Model Evaluation, you need basic programming skills and interest for the following fields

Knowledge representation formalisms (description logics/OWL-DL), Semantic technologies, Knowledge elicitation techniques, and Cognitive theories

Short description of the project “Assessment of description logic inferences of an ontology modelled in a Semantic MediaWiki”

• For a human user, automatic inferences are often not obvious. Manually modelled statements lead to unwanted entailed statements.
• In the MoKi, an extension to the Semantic MediaWiki, users model an ontology in a rather informal (wiki) way.
• The informal model is automatically, using some rules of thumb, translated into a formal mode.
• Goal of the project: Consequences of the translation need to assessed by the user, and removed if necessary.

For an overview of all topics related to Modelling and Model Evaluation see

Modelling and Model Evaluation - Themen SS 2009

Contact:Viktoria Pammer (vpammer@know-center.at), Barbara Kump (bkump@tugraz.at)

The topic “Evaluation of automatically generated prerequisite relation” belongs to the research field of Modelling and Model Evaluation. Here, with the term Model, we refer to an ontology.

The purpose of an ontology in computer science is to formally and unambiguously describe the relevant notions of a domain. People constructing an ontology need to be supported by design methodologies, tools and methods to create and evaluate their ontologies.

For a Bachelor or Master Thesis or Project in the field of Modelling and Model Evaluation, you need basic programming skills and interest for the following fields

Knowledge representation formalisms (description logics/OWL-DL), Semantic technologies, Knowledge elicitation techniques, and Cognitive theories

Short description of the project “Evaluation of automatically generated prerequisite relation”

• In the case of the skill model, prerequisite relations between skills are implicit in the mappings from tasks to required skills
• For a human user, automatic inferences are often not obvious. Manually modelled statements lead to unwanted entailed statements.
• Goal of the project: Modifications of the explicit statements (prerequisite relation between skills) shall be reflected in the original structure (skill model)

For an overview of all topics related to Modelling and Model Evaluation see
Modelling and Model Evaluation - Themen SS 2009

Contact:Viktoria Pammer (vpammer@know-center.at), Barbara Kump (bkump@tugraz.at)

The topic “Ontology Questionnaire: Evaluation of Skill Model in APOSDLE with respect to its semantics” belongs to the research field of Modelling and Model Evaluation. Here, with the term Model, we refer to an ontology.

The purpose of an ontology in computer science is to formally and unambiguously describe the relevant notions of a domain. People constructing an ontology need to be supported by design methodologies, tools and methods to create and evaluate their ontologies.

For a Bachelor or Master Thesis or Project in the field of Modelling and Model Evaluation, you need basic programming skills and interest for the following fields

Knowledge representation formalisms (description logics/OWL-DL), Semantic technologies, Knowledge elicitation techniques, and Cognitive theories

Short description of the project “Ontology Questionnaire: Evaluation of the Skill Model in APOSDLE with respect to its semantics”

• Skill Model: A task is assigned a number of skills (hierarchy) which are required to perform the task
• The task-skill assignment needs to be evaluated
• Currently this evaluation requires the manual creation of a questionnaire
• Goal of the project: Automated creation of the questionnaire and automated correction of the skill model in dependence of the answer

For an overview of all topics related to Modelling and Model Evaluation see
Modelling and Model Evaluation - Themen SS 2009