@conference{C35-P-21400,

title = {Towards a Workflow-Based Design of Multimedia Annotation Systems},

author = {Cristian Erik Hofmann and Dirk Burkhardt and Matthias Breyer and Kawa Nazemi and Christian Stab and Dieter W Fellner},

editor = {J. Herrington and C. Montgomerie},

url = {https://www.learntechlib.org/p/34788/},

isbn = {978-1-880094-81-5},

year  = {2010},

date = {2010-01-01},

booktitle = {Proceedings of ED-Media 2010},

pages = {1224-1233},

publisher = {The Association for the Advancement of Computing in Education (AACE)},

abstract = {Annotation techniques for multimedia contents have found their way into multiple areas of daily use as well as professional fields. A large number of research projects can be assigned to different specific subareas of digital annotation. Nevertheless, the annotation process, bringing out multiple workflows depending on different application scenarios, has not sufficiently been taken into consideration. A consideration of respective processes and workflows requires detailed knowledge about practices of digital multimedia annotation. In order to establish fundamental groundwork towards workflow-related research, this paper presents a comprehensive process model of multimedia annotation which results from a conducted empirical study. Furthermore, we provide a survey of the tasks that have to be accomplished by users and computing devices, tools and algorithms that are used to handle specific tasks, and types of data that are transferred between workflow steps. These aspects are 

 assigned to the identified sub-processes of the model.},

keywords = {Annotations, Collaboration, Interactive multimedia, Workflow},

pubstate = {published},

tppubtype = {conference}

}

@conference{C35-P-21759,

title = {SemaTime - Timeline Visualization of Time-Dependent Relations and Semantics},

author = {Christian Stab and Kawa Nazemi and Dieter W Fellner},

editor = {[G. Bebis et al.]},

url = {https://doi.org/10.1007/978-3-642-17277-9_53, DOI

https://link.springer.com/chapter/10.1007/978-3-642-17277-9_53, Springer Link},

doi = {10.1007/978-3-642-17277-9_53},

isbn = {978-3-642-17276-2},

year  = {2010},

date = {2010-01-01},

booktitle = {Advances in Visual Computing. 6th International Symposium, Proceeding of ISVC 2010},

pages = {514-523},

publisher = {Springer-Verlag},

address = {Berlin Heidelberg},

series = {LNCS 6455},

abstract = {Timeline based visualizations arrange time-dependent entities along a time-axis and are used in many different domains like digital libraries, criminal investigation and medical information systems to support users in understanding chronological structures. By the use of semantic technologies, the information is categorized in a domain-specific, hierarchical schema and specified by semantic relations. Commonly semantic relations in timeline visualizations are depicted by interconnecting entities with a directed edge. However it is possible that semantic relations change in the course of time. In this paper we introduce a new timeline visualization for time-dependent semantics called SemaTime that offers a hierarchical categorization of time-dependent entities including navigation and filtering features. We also present a novel concept for visualizing time-dependent relations that allows the illustration of time-varying semantic relations and affords an easy understandable 

 visualization of complex, time-dependent interrelations.},

keywords = {Information visualization, Interactive information visualization, Semantic visualization, Time, Timeline visualization, Visual analytics},

pubstate = {published},

tppubtype = {conference}

}

@conference{C35-P-21398,

title = {SemaSun: Visualization of Semantic Knowledge Based on an Improved Sunburst Visualization Metaphor},

author = {Christian Stab and Matthias Breyer and Kawa Nazemi and Dirk Burkhardt and Cristian Erik Hofmann and Dieter W Fellner},

url = {https://www.learntechlib.org/p/34743/, LearnTechLib},

isbn = {978-1-880094-81-5},

year  = {2010},

date = {2010-01-01},

booktitle = {Proceedings of ED-Media 2010},

pages = {911-919},

publisher = {Association for the Advancement of Computing in Education},

abstract = {Ontologies have become an established data model for conceptualizing knowledge entities and describing semantic relationships between them. They are used to model the concepts of specific domains and are widespread in the areas of the semantic web, digital libraries and multimedia database management. To gain the most possible benefit from this data model, it is important to offer adequate visualizations, so that users can easily acquire the knowledge. Most ontology visualization techniques are based on hierarchical or graph-based visualization metaphors. This may result in information-loss, visual clutter, cognitive overload or context-loss. In this paper we describe a new approach of ontology visualization technique called \textit{SemaSun} that is based on the sunburst visualization metaphor. We improved this metaphor, which is naturally designed for displaying hierarchical data, to the tasks of displaying multiple inheritance and semantic relations. This approach also offers 

 incremental ontology exploring to reduce the cognitive load without losing the informational context.},

keywords = {Information visualization, Ontology visualization, Semantics},

pubstate = {published},

tppubtype = {conference}

}

@conference{C35-P-21605,

title = {Semantic Visualization Cockpit: Adaptable Composition of Semantics-Visualization Techniques for Knowledge-Exploration},

author = {Kawa Nazemi and Dirk Burkhardt and Matthias Breyer and Christian Stab and Dieter W Fellner},

url = {https://pdfs.semanticscholar.org/46d4/1ca0256a1024fd32f5f37280a359f60ae2f1.pdf, Full text

https://www.semanticscholar.org/paper/Semantic-Visualization-Cockpit%3A-Adaptable-Composit-Nazemi-Burkhardt/46d41ca0256a1024fd32f5f37280a359f60ae2f1, Semantic Scholars},

year  = {2010},

date = {2010-01-01},

booktitle = {International Conference on Interactive Collaborative Learning (ICL)},

pages = {163-173},

publisher = {Kassel University Press, 2010},

abstract = {Semantic-Web and ontology-based information processing systems are established technologies and techniques, in more than only research areas and institutions. Different worldwide projects and enterprise companies identified already the added value of semantic technologies and work on different sub-topics for gathering and conveying knowledge. As the process of gathering and structuring semantic information plays a key role in the most developed applications, the process of transferring and adopting knowledge to and by humans is neglected, although the complex structure of knowledge-design opens many research-questions. The following paper describes a new approach for visualizing semantic information as a composition of different adaptable ontology-visualization techniques. We start with a categorized description of existing ontology visualization techniques and show potential gaps. After that the new approach will be described and its added value to existing systems. A case 

 study within the greatest German program for semantic information processing will show the usage of the system in real scenarios.},

keywords = {Exploratory learning, Intelligent user interfaces, Semantic visualization, Semantic web},

pubstate = {published},

tppubtype = {conference}

}

@conference{C35-P-21399,

title = {Intuitive Semantic-Editing for Regarding Needs of Domain-Experts},

author = {Dirk Burkhardt and Cristian Erik Hofmann and Kawa Nazemi and Christian Stab and Matthias Breyer and Dieter W Fellner},

url = {https://www.learntechlib.org/p/34735/, link to paper},

isbn = {978-1-880094-81-5},

year  = {2010},

date = {2010-01-01},

booktitle = {Proceedings of ED-Media 2010},

pages = {860-869},

publisher = {The Association for the Advancement of Computing in Education (AACE)},

abstract = {Ontologies are used to represent knowledge and their semantic information from different topics, to allow users a better way to explore knowledge and find information faster, because of the data-structuring. To achieve a well filled knowledgebase, editors have to be used, to enter new and to edit existing information. But most of the existing ontology-editors are designed for experienced ontology-experts. Experts from other topic fields e.g. physicians are often novices in the area of ontology-creating, they need adequate tools, which hide the complexity of ontology-structures. In the area of e-learning experts are also teachers as well. In this paper we will present a method, how the needs of domain-experts can be regarded and so an editor can designed, which allows an editing and adding of information by users without having experiences of creating ontologies. With such an editor domain-experts are able to commit their expert-knowledge into the ontology.},

keywords = {Graphical interactive user interfaces, Intelligent user interfaces, Semantic data modeling, Semantic visualization, Semantic web},

pubstate = {published},

tppubtype = {conference}

}

@conference{C35-P-21676,

title = {Interaction Analysis: An Algorithm for Interaction Prediction and Activity Recognition in Adaptive Systems},

author = {Kawa Nazemi and Christian Stab and Dieter W. Fellner},

url = {https://ieeexplore.ieee.org/document/5658514/?reload=true, IEEE Xplore},

doi = {10.1109/ICICISYS.2010.5658514},

isbn = {978-1-4244-6582-8},

year  = {2010},

date = {2010-01-01},

booktitle = {IEEE International Conference on Intelligent Computing and Intelligent Systems},

pages = {607-612},

publisher = {IEEE Press},

organization = {IEEE},

abstract = {Predictive statistical models are used in the area of adaptive user interfaces to model user behavior and to infer user information from interaction events in an implicit and non-intrusive way. This information constitutes the basis for tailoring the user interface to the needs of the individual user. Consequently, the user analysis process should model the user with information, which can be used in various systems to recognize user activities, intentions and roles to accomplish an adequate adaptation to the given user and his current task. 

 

 In this paper we present the improved prediction algorithm KO*/19, which is able to recognize, beside interaction predictions, behavioral patterns for recognizing user activities. By means of this extension, the evaluation shows that the KO*/19-Algorithm improves the Mean Prediction Rank more than 19% compared to other well-established prediction algorithms.},

keywords = {Adaptive user interfaces, Interaction analysis, Statistics, User behavior, User modeling},

pubstate = {published},

tppubtype = {conference}

}

@conference{C35-P-21532,

title = {Interaction Analysis for Adaptive User Interfaces},

author = {Kawa Nazemi and Christian Stab and Dieter W Fellner},

url = {https://link.springer.com/chapter/10.1007/978-3-642-14922-1_45, Springer page},

doi = {doi.org/10.1007/978-3-642-14922-1_45},

isbn = {978-3-642-14921-4},

year  = {2010},

date = {2010-01-01},

booktitle = {Advanced Intelligent Computing Theories and Applications. International Conference on Intelligent Computing.},

pages = {362-371},

publisher = {Springer, Berlin, Heidelberg},

series = {LNCS 6215},

abstract = {Adaptive User Interfaces are able to facilitate the handling of computer systems through the automatic adaptation to users' needs and preferences. For the realization of these systems, information about the individual user is needed. This user information can be extracted from user events by applying analytical methods without the active information input by the user. In this paper we introduce a reusable interaction analysis system based on probabilistic methods that predicts user interactions, recognizes user activities and detects user preferences on different levels of abstraction. The evaluation reveals that the prediction quality of the developed algorithm outperforms the quality of other established prediction methods.},

keywords = {Adaptive information visualization, Adaptive user interfaces, Interaction analysis, Probabilistic models, User modeling},

pubstate = {published},

tppubtype = {conference}

}

@conference{C35-P-21397,

title = {Intelligent Exploration System - an Approach for User-Centered Exploratory Learning},

author = {Kawa Nazemi and Matthias Breyer and Christian Stab and Dirk Burkhardt and Dieter W Fellner},

editor = {International Association of Technology, Education and Development },

url = {https://library.iated.org/view/NAZEMI2010INT, direct link to publisher},

isbn = {978-84-613-9386-2},

year  = {2010},

date = {2010-01-01},

booktitle = {2nd International Conference on Education and New Learning Technologies},

pages = {6476-6484},

abstract = {The following paper describes the conceptual design of an Intelligent Exploration System (IES) that offers a user-adapted graphical environment of web-based knowledge repositories, to support and optimize the explorative learning. The paper starts with a short definition of learning by exploring and introduces the Intelligent Tutoring System and Semantic Technologies for developing such an Intelligent Exploration System. The IES itself will be described with a short overview of existing learner or user analysis methods, visualization techniques for exploring knowledge with semantics technology and the explanation of the characteristics of adaptation to offer a more efficient learning environment.},

keywords = {Exploration, Exploratory learning, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Intelligent Systems, Intelligent tutoring systems, Knowledge discovery},

pubstate = {published},

tppubtype = {conference}

}

@conference{C35-P-21396,

title = {Approaches for 3D-Visualizations and Knowledge Worlds for Exploratory Learning},

author = {Dirk Burkhardt and Christian Stab and Kawa Nazemi and Matthias Breyer and Dieter W Fellner},

url = {https://library.iated.org/publications/EDULEARN10, Direct Link to publisher},

isbn = {978-84-613-9386-2},

year  = {2010},

date = {2010-01-01},

booktitle = {2nd International Conference on Education and New Learning Technologies},

pages = {006427-006437},

publisher = {IATED},

address = {Barcelona, Spain},

abstract = {Graphical knowledge representations open promising perspectives to support the explorative learning on web. 2D-visualization are recently evaluated as gainful knowledge exploration systems, whereas 3D-visualization systems did not find their way into web-based explorative learning. 3D-visualizations and "3D Knowledge Worlds", as virtual environment in context of e-learning, comprise a high degree of authenticity, because the used metaphors are known by the users from the real world. But different challenges like the usage of 3D-Knowledge World without losing the learning context and the focused learning goals are rarely investigated and considered. New technologies provide the opportunity to introduce 3D-visualizations and environments on web to support a web-based explorative learning. Therefore it is necessary to investigate the prospects of 3D-visualization for transferring and adopting knowledge on web. 

 

 The following paper describes different approaches to use 3D-visualization and Knowledge Worlds for conveying knowledge on web-based systems using web-based contents. The approaches for 3D visualizations are classified into different layout algorithm and the knowledge worlds are classified interaction character.},

keywords = {3D Visualization, E-Learning environments, Semantic visualization, Web based learning},

pubstate = {published},

tppubtype = {conference}

}