@inproceedings{Stab2012c,

title = {Semantics Visualization for Fostering Search Result Comprehension},

author = {Christian Stab and Kawa Nazemi and Matthias Breyer and Dirk Burkhardt and Jörn Kohlhammer},

editor = {Elena Simperl and Philipp Cimiano and Axel Polleres and Oscar Corcho and Valentina Presutti},

url = {http://2012.eswc-conferences.org, Conference Site},

doi = {10.1007/978-3-642-30284-8_49},

isbn = {978-3-642-30284-8},

year  = {2012},

date = {2012-05-27},

booktitle = {The Semantic Web: Research and Applications; Research and Applications. ESWC 2012},

volume = {7295},

pages = {633--646},

publisher = {Springer},

address = {Berlin, Heidelberg, Germany},

series = {Lecture Notes in Computer Science, vol 7295},

abstract = {Current search engines present search results in an ordered list even if semantic technologies are used for analyzing user queries and the document contents. The semantic information that is used during the search result generation mostly remains hidden from the user although it significantly supports users in understanding why search results are considered as relevant for their individual query. The approach presented in this paper utilizes visualization techniques for offering visual feedback about the reasons the results were retrieved. It represents the semantic neighborhood of search results, the relations between results and query terms as well as the relevance of search results and the semantic interpretation of query terms for fostering search result comprehension. It also provides visual feedback for query enhancement. Therefore, not only the search results are visualized but also further information that occurs during the search processing is used to improve the visual presentation and to offer more transparency in search result generation. The results of an evaluation in a real application scenario show that the presented approach considerably supports users in assessment and decision-making tasks and alleviates information seeking in digital semantic knowledge bases.},

keywords = {Information visualization, Search User Interface, Semantic Search, SemaVis, Visual Query Enhancement},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{stab2012analytical,

title = {Analytical semantics visualization for discovering latent signals in large text collections},

author = {Christian Stab and Matthias Breyer and Dirk Burkhardt and Kawa Nazemi and Jörn Kohlhammer},

editor = {Andreas Kerren and Stefan Seipel},

url = {http://www.ep.liu.se/ecp/081/011/ecp12081011.pdf, full text},

isbn = {978-91-7519-723-4},

year  = {2012},

date = {2012-01-01},

booktitle = {Proceedings of SIGRAD 2012; Interactive Visual Analysis of Data; November 29-30; 2012; Växjö; Sweden},

number = {081},

pages = {83--86},

publisher = {Linköping University Electronic Press},

organization = {Linköping University},

abstract = {Considering the increasing pressure of competition and high dynamics of markets; the early identification and specific handling of novel developments and trends becomes more and more important for competitive companies. Today; those signals are encoded in large amounts of textual data like competitors’ web sites; news articles; scientific publications or blog entries which are freely available in the web. Processing large amounts of textual data is still a tremendous challenge for current business analysts and strategic decision makers. Although current information systems are able to process that amount of data and provide a wide range of information retrieval tools; it is almost impossible to keep track of each thread or opportunity. The presented approach combines semantic search and data mining techniques with interactive visualizations for analyzing and identifying weak signals in large text collections. Beside visual summarization tools; it includes an enhanced trend visualization that supports analysts in identifying latent topic-related relations between competitors and their temporal relevance. It includes a graph-based visualization tool for representing relations identified during semantic analysis. The interaction design allows analysts to verify their retrieved hypothesis by exploring the documents that are responsible for the current view.},

keywords = {Data Analytics, Data Visualization, Semantic data modeling, Visual analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2011b,

title = {Facilitate Access to E-Knowledge for Adult People in Rural Areas},

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

editor = {Candel I Torres and Gómez L Chova and López A Martínez},

url = {https://library.iated.org/view/BURKHARDT2011FAC, IATED Digital Library},

doi = {10.5281/zenodo.3455891},

isbn = {978-84-615-3324-4},

year  = {2011},

date = {2011-11-01},

booktitle = {Proceedings of the 4th International Conference of Education, Research and Innovation (ICERI2011).},

pages = {2050-2057},

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

address = {Madrid, Spain},

series = {4th International Conference of Education, Research and Innovation},

abstract = {The today society especially in the western world is stamped by a lifelong learning. This matter results because of an increasing technology development primary in Information Communication Technologies (ICT). These technology developments have their reasons in creating new effective and efficient systems that allows a higher productivity or quality and decreases the production cost, which is necessary for a stable and healthy company. But the goal of these new technologies is also to provide more possibilities for the “normal” users, so that they for instance can easily and cheap get updated about the status of their family members or friends over the internet. So ICT allows a wide range of possibilities, also for providing education with these technologies. So in this connection ICT can contribute to achieving universal education worldwide, through transfer of education and training, and offering improved conditions for lifelong learning, encompassing adults that are not participating to the formal education process, and improving professional skills (UNESCO, 2009). And skills are today the main factor for wealth in a society. 

A modern established method to provide a flexible learning, especially for lifelong learning for adults, is learning over the internet. By this kind of eLearning it does not matter where a specific user or student lives or tries to learn, he only needs access to the internet and has with it access to a huge amount of information and eLearning materials. But in fact for this way of learning the user needs experiences in dealing with the internet and also with the learning platforms. Because of that fact often only younger students up to the age of ca. 30 years are able use the existing eLearning platforms in an efficient way. This young target group stands in opposition to the demographic effect that the average age of most of the European residents increases constantly. So it becomes to a national and European challenge to support also the middle-aged adults for holding them up-to-date educated. But to provide an advanced education for these adult people is difficult, because it can be very time consuming and expensive, if they are trained on the traditional way with courses and tutors or trainers. So another approach is useful, next to the traditional advanced education. 

In our paper we describe an approach to provide a facilitated access to eKnowledge and so to virtual learning. With the described approach we address especially older adults between the age of 30 and 40 to support them in advanced learning. This allows bringing them up-to-date, so that they can achieve a similar education level than younger once which e.g. coming from the university. For reducing the access barrier many aspects, next to the general strategy, have to be to regarded, e.g. usability and also user experience aspects to avoid that middle and older adults get overstrained, which results often that they dislike the entire online learning strategy. So these technical features need to be hidden or so far reduced and abstracted that also these kinds of adults will understand the usefulness. In this paper we also take care for such aspects and presenting a concept and implementation of an eLearning portal that is primary designed for supporting the needs and behaviours of middle-aged adults. The main contribution of this paper is the abstraction and reduction of learning functionalities, implemented in a well-known learning environment.},

keywords = {Adult Learning, E-Learning, E-Learning environments, Exploratory learning, Human Factors, Human-centered user interfaces},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burkhardt2011c,

title = {RURALeNTER: Capacity Building through ICT in Rural Areas},

author = {Dirk Burkhardt and Frédérique Frossard and Mario Barajas and Marion Obermüller},

doi = {10.5281/zenodo.3455883},

isbn = {978-960-473-323-1},

year  = {2011},

date = {2011-10-30},

booktitle = {Proceedings of Workshop of the EDEN Open Classroom 2011 Conference: Lifelong Learning in RURAL and Remote Areas},

pages = {29--38},

publisher = {Pallini},

address = {Athens, Greece},

abstract = {The requirements on today’s employees have been changed in the past. Today the western world needs significant more well educated employees, often named as experts. To be attractive for the job market the employees have to stay up-to-date and to improve their skills continuously, so lifelong-learning becomes important for the business carrier. But especially this advanced learning becomes difficult for people in rural regions. The existing strategies 

like improving skills on adult education centres is not appropriated for the rural population because of e.g. traveling costs. To solve this discriminating circumstance is the main goal of the RURALeNTER project. The project aims to develop a new approach how advanced education can be provided to the rural population by using modern technologies over internet. The effective use of specifically to the requirements of rural population developed internet tools enables even for beginners the possibility to be similar effective as the advanced training that is provided in urban regions in the traditional form. The resulting approach was tested and used amongst others in Spain, Austria and Romania.},

keywords = {E-Learning, Learning in Rural Areas, Learning of Adult Populations, Learning Strategy},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{C35-P-22194,

title = {A Reference Model for Adaptive Visualization Systems},

author = {Kawa Nazemi and Christian Stab and Arjan Kuijper},

editor = {Julie A Jacko},

url = {https://link.springer.com/chapter/10.1007/978-3-642-21602-2_52, Springer Link},

doi = {10.1007/978-3-642-21602-2_52},

isbn = {978-3-642-21601-5},

year  = {2011},

date = {2011-01-01},

booktitle = {Human-Computer Interaction. Design and Development Approaches. HCI 2011.},

pages = {480-489},

publisher = {Springer, Berlin, Heidelberg},

series = {LNCS 6761},

abstract = {One key issue of both Information Visualization as well as Adaptive User Interfaces is information overload. While both disciplines have already devised well performing algorithms, methods and applications, a real merging has not taken place yet. Only a few attempts bring the surplus values of both disciplines together, whereas a fine-grained investigation of visualization parameterization is not investigated. Today's systems focus either on the adaptation of visualization types or the parameterization of visualizations. This paper presents a reference Model for Adaptive Visualization Systems (MAVS) that allows the adaptation of both the visualization type and the visualization parameterization. Based on this model, a framework for the adaptive visualization of semantics data will be derived. A use case describing the interaction with an ädaptive visualization cockpit" covering different visualization metaphors concludes the paper.},

keywords = {Adaptive Information Visualization, Ontology visualization, Reference models},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nazemi2011c,

title = {Adapting User Interfaces by Analyzing Data Characteristics for Determining Adequate Visualizations},

author = {Kawa Nazemi and Dirk Burkhardt and Alexander Praetorius and Matthias Breyer and Arjan Kuijper},

editor = {Masaaki Kurosu},

url = {https://doi.org/10.1007/978-3-642-21753-1_63, DOI 

https://link.springer.com/chapter/10.1007/978-3-642-21753-1_63, Springer page},

doi = {10.1007/978-3-642-21753-1_63},

isbn = {978-3-642-21753-1},

year  = {2011},

date = {2011-01-01},

booktitle = {Human Centered Design},

pages = {566--575},

publisher = {Springer Berlin Heidelberg},

address = {Berlin, Heidelberg},

abstract = {Today the information visualization takes in an important position, because it is required in nearly every context where large databases have to be visualized. For this challenge new approaches are needed to allow the user an adequate access to these data. Static visualizations are only able to show the data without any support to the users, which is the reason for the accomplished researches to adaptive user-interfaces, in particular for adaptive visualizations. By these approaches the visualizations were adapted to the users' behavior, so that graphical primitives were change to support a user e.g. by highlighting user-specific entities, which seems relevant for a user. This approach is commonly used, but it is limited on changes for just a single visualization. Modern heterogeneous data providing different kinds of aspects, which modern visualizations try to regard, but therefore a user often needs more than a single visualization for making an information retrieval. In this paper we describe a concept for adapting the user-interface by selecting visualizations in dependence to automatically generated data characteristics. So visualizations will be chosen, which are fitting well to the generated characteristics. Finally the user gets an aquatically arranged set of visualizations as initial point of his interaction through the data.},

keywords = {Adaptive Information Visualization, Adaptive User Interfaces, Adaptive Visualization, Data Analytics, Human Factors, Human-computer interaction (HCI), Information visualization, Intelligent Systems, personalization, reference model, Semantic visualization, Semantic web, User behavior},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-642-21753-1_55,

title = {SemaZoom: Semantics Exploration by Using a Layer-Based Focus and Context Metaphor},

author = {Dirk Burkhardt and Kawa Nazemi and Matthias Breyer and Christian Stab and Arjan Kuijper},

editor = {Masaaki Kurosu},

url = {https://doi.org/10.1007/978-3-642-21753-1_55, DOI 

https://link.springer.com/chapter/10.1007/978-3-642-21753-1_55, Springer page},

doi = {10.1007/978-3-642-21753-1_55},

isbn = {978-3-642-21753-1},

year  = {2011},

date = {2011-01-01},

booktitle = {Human Centered Design},

pages = {491--499},

publisher = {Springer Berlin Heidelberg},

address = {Berlin, Heidelberg},

series = {LNCS 6776},

abstract = {The Semantic Web is a powerful technology for organizing the data in our information based society. The collection and organization of information is an important step for showing important information to interested people. But the usage of such semantic-based data sources depends on effective and efficient information visualizations. Currently different kinds of visualizations in general and visualization metaphors do exist. Many of them are also applied for semantic data source, but often they are designed for semantic web experts and neglecting the normal user and his perception of an easy useable visualization. This kind of user needs less information, but rather a reduced qualitative view on the data. These two aspects of large amount of existing data and one for normal users easy to understand visualization is often not reconcilable. In this paper we create a concept for a visualization to show a bigger set of information to such normal users without overstraining them, because of layer-based data visualization, next to an integration of a Focus and Context metaphor.},

keywords = {Graph visualization, Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, User behavior, User Interactions, User Interface, User interfaces, User-centered design, Visual analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Schäfer2011,

title = {Basistechnologien für das Internet der Dienste},

author = {Ralf Schäfer and Tilman Becker and Catherina Burghart and Kawa Nazemi and Patrick Ndjiki and Thomas Riegel},

editor = {Lutz Heuser and Wolfgang Wahlster},

url = {http://www.acatech.de/fileadmin/user_upload/Baumstruktur_nach_Website/Acatech/root/de/Publikationen/acatech_diskutiert/acatech_Diskutiert_Internet-der-Dienste_WEB_02.pdf, Full text 

https://link.springer.com/chapter/10.1007/978-3-642-21507-0_2, Springer link},

doi = {10.1007/978-3-642-21507-0},

isbn = {978-3-642-21507-0},

year  = {2011},

date = {2011-01-01},

booktitle = {Internet der Dienste},

pages = {19--40},

publisher = {Springer Berlin Heidelberg},

address = {Berlin, Heidelberg},

series = {acatech DISKUTIERT},

abstract = {Wissen und Informationen wachsen nicht nur stetig in ihrer Menge, sie stellen heute vielmehr eine bedeutende Ressource vieler Unternehmen dar. Der effiziente Zugriff auf Unternehmenswissen, wie etwa Expertisen, Ansprechpartner, Projekt- und Meilensteinpläne etc. kann Unternehmensprozesse vereinfachen und somit zur Zeit- und Kostenreduktion beitragen. Semantische Technologien bieten zahlreiche Möglichkeiten, um Daten mit Hintergrundinformationen zu ihrer Bedeutung anzureichern und sie mit weiteren relevanten Informationseinheiten zu verbinden. Solche semantische Relationen führen nicht nur zu einer effizienteren Suche in größeren Informationsräumen, sondern unterstützen den Benutzer auch bei diversen Prozessen, wie etwa Editierung, Annotation und Verarbeitung von Informationen. Sie eröffnen aber auch neue Möglichkeiten zur Aneignung und Transfer von Wissen. Jede Informationseinheit steht dabei in Zusammenhang mit anderen Informationen innerhalb einer bestimmten Domäne. Das so aufbereitete Wissen kann schneller und effizienter durchsucht werden und bietet zudem eine Art der Informationsaufnahme, die den menschlichen Bedürfnissen und Angewohnheiten sehr nahe kommt, nämlich der Schaffung von Assoziationen von neuem zu dem bereits vorhandenen Wissen.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Stab2011,

title = {Interacting with Semantics and Time},

author = {Christian Stab and Kawa Nazemi and Matthias Breyer and Dirk Burkhardt and Arjan Kuijper},

editor = {Julie A Jacko},

url = {https://link.springer.com/chapter/10.1007/978-3-642-21619-0_64, Springer link},

doi = {10.1007/978-3-642-21619-0_64},

isbn = {978-3-642-21619-0},

year  = {2011},

date = {2011-01-01},

booktitle = {Human-Computer Interaction. Users and Applications. Proceedings of HCI International 2011},

volume = {4},

pages = {520--529},

publisher = {Springer Berlin Heidelberg},

address = {Berlin, Heidelberg},

series = {LNCS 6764},

abstract = {Time appears in many different semantic information systems like historical databases, multimedia systems or social communities as a common attribute. Beside the temporal information, the resources in these domains are categorized in a domain-specific schema and interconnected by semantic relations. Nevertheless, the high potential of these systems is not yet exhausted completely. Even today most of these knowledge systems present time-dependent semantic knowledge in textual form, what makes it difficult for the average user to understand temporal structures and dependencies. For bridging this gap between human and computer and for simplifying the exploration of time-dependent semantic knowledge, we developed a new interactive timeline visualization called SemaTime. The new designed temporal navigation concept offers an intuitive way for exploring and filtering time-depended resources. Additionally SemaTime offers navigation and visual filtering methods on the conceptual layer of the domain and is able to depict semantic relations. In this paper we describe the conceptual design of SemaTime and illustrate its application potentials in semantic search environments.},

keywords = {Data Analytics, Human Factors, Human-centered user interfaces, Information visualization, Ontology visualization, Semantic visualization, Semantic web, Temporal Visualization, User behavior},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nazemi2011cb,

title = {Interacting with Semantics: A User-Centered Visualization Adaptation Based on Semantics Data},

author = {Kawa Nazemi and Matthias Breyer and Jeanette Forster and Dirk Burkhardt and Arjan Kuijper},

editor = {Michael J Smith and Gavriel Salvendy},

url = {https://link.springer.com/chapter/10.1007/978-3-642-21793-7_28, Springer link},

doi = {10.1007/978-3-642-21793-7_28},

isbn = {978-3-642-21793-7},

year  = {2011},

date = {2011-01-01},

booktitle = {Human Interface and the Management of Information. Interacting with Information. Symposium on Human Interface 2011.},

pages = {239--248},

publisher = {Springer Berlin Heidelberg},

address = {Berlin, Heidelberg},

series = {LNCS 6771},

abstract = {Semantically annotated data gain more and more importance in future information acquiring processes. Especially the Linked Open Data (LOD) format has already experienced a great growth. However, the user-interfaces of web-applications mostly do not reflect the added value of semantics data. The following paper describes a new approach of user-centered data-adaptive semantics visualization, which makes use of the advantages of semantics data combined with an adaptive composition of information visualization techniques. It starts with a related work section, where existing LOD systems and information visualization techniques are described. After that, the new approach will bridge the gap between semantically annotated data (LOD) and information visualization and introduces a visualization system that adapts the composition of visualizations based on the underlying data structure. A case study of an example case will conclude this paper.},

keywords = {Human-centered user interfaces, Human-computer interaction (HCI), Information visualization, Interaction Design, Semantic visualization, Semantic web, User behavior, User Interactions},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Burk2011c,

title = {Classifying Interaction Methods to Support Intuitive Interaction Devices for Creating User-Centered-Systems},

author = {Dirk Burkhardt and Matthias Breyer and Christian Glaser and Kawa Nazemi and Arjan Kuijper},

editor = {Constantine Stephanidis},

url = {https://link.springer.com/chapter/10.1007/978-3-642-21672-5_3, Springer link},

doi = {10.1007/978-3-642-21672-5_3},

isbn = {978-3-642-21672-8},

year  = {2011},

date = {2011-01-01},

pages = {20--29},

publisher = {Springer Berlin Heidelberg},

address = {Berlin, Heidelberg},

series = {LNCS 6765},

abstract = {Nowadays a wide range of input devices are available to users of technical systems. Especially modern alternative interaction devices, which are known from game consoles etc., provide a more natural way of interaction. But the support in computer programs is currently a big challenge, because a high effort is to invest for developing an application that supports such alternative input devices. For this fact we made a concept for an interaction system, which supports the use of alternative interaction devices. The interaction-system consists as central element a server, which provides a simple access interface for application to support such devices. It is also possible to address an abstract device by its properties and the interaction-system overtakes the converting from a concrete device. For realizing this idea, we also defined a taxonomy for classifying interaction devices by its interaction method and in dependence to the required interaction results, like recognized gestures. Later, by using this system, it is generally possible to develop a user-centered system by integrating this interaction-system, because an adequate integration of alternative interaction devices provides a more natural and easy to understand form of interaction.},

keywords = {Human Factors, Human-centered user interfaces, Human-computer interaction (HCI), Interaction Design, User behavior, User-centered design},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nazemi2011d,

title = {Modeling Users for Adaptive Semantics Visualizations},

author = {Kawa Nazemi and Dirk Burkhardt and Matthias Breyer and Arjan Kuijper},

editor = {Constantine Stephanidis},

url = {https://link.springer.com/chapter/10.1007/978-3-642-21663-3_10, Springer link},

doi = {10.1007/978-3-642-21663-3_10},

isbn = {978-3-642-21663-3},

year  = {2011},

date = {2011-01-01},

booktitle = {International Conference on Universal Access in Human-Computer Interaction. Universal Access in Human-Computer Interaction. Users Diversity.},

volume = {2},

pages = {88--97},

publisher = {Springer Berlin Heidelberg},

address = {Berlin, Heidelberg},

series = {LNCS 6766},

abstract = {The automatic adaptation of information visualization systems to the requirements of users plays a key-role in today's research. Different approaches from both disciplines try to face this phenomenon. The modeling of user is an essential part of a user-centered adaptation of visualization. In this paper we introduce a new approach for modeling users especially for semantic visualization systems. The approach consists of a three dimensional model, where semantic data, user and visualization are set in relation in different abstraction layer.},

keywords = {Adaptive Information Visualization, Adaptive User Interfaces, Adaptive Visualization, Intelligent Systems, Interaction analysis, Interaction Design, User modeling},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Nazemi2011e,

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 = {Argiris Tzikopoulos and Anna Zoakou},

url = {http://www.ea.gr/ep/ruenter/news/RURALeNTER_WP6_%20ProceedingsofEuropeanWorkshop%20_V1.0_30October2011_EA.pdf, full text},

doi = {10.5281/zenodo.3455885},

isbn = {978-960-473-323-1},

year  = {2011},

date = {2011-01-01},

booktitle = {Proceeding of the Workshop of the EDEN Open Classroom 2011 Conference. RURALeNTER - Lifelong Learning in Rural and Remote Areas},

pages = {71 - 83},

publisher = {EPINOIA S.A.},

address = {Pallini - Athens, Greece},

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.},

note = {reprint},

keywords = {E-Learning, Exploratory learning, Human Factors, Interaction Design, Semantic visualization},

pubstate = {published},

tppubtype = {inproceedings}

}