Matthias Hemmje

Matthias Hemmje
FernUniversität in Hagen · Fakultät für Mathematik und Informatik

Prof. Dr.-Ing.

About

292
Publications
34,672
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,453
Citations
Citations since 2016
144 Research Items
704 Citations
2016201720182019202020212022050100150
2016201720182019202020212022050100150
2016201720182019202020212022050100150
2016201720182019202020212022050100150
Additional affiliations
October 2004 - present
FernUniversität in Hagen
Position
  • Full Professor, Chair of Multimedia and Internet Applicatoins

Publications

Publications (292)
Conference Paper
Our previous paper presented the overall concept for an applied learning game to support the training of work design skills and the concept for the single packages of the applied learning game in more detail. Those packages are sub-applications of the main applied learning game in which the students have to deal with different tasks simultaneously....
Conference Paper
In this Regular Research Paper, a competency-based approach, based on the Qualifications-Based Learning Model (QBLM), will be presented , making it possible to store the acquired competencies in a Com-petency and Qualification Profile (CQP) during a learning unit. Before the learning unit can be started, it must be checked whether a learner has all...
Chapter
In this chapter, a competency-based approach, based on the qualifications-based learning model (QBLM), will be presented, which makes it possible to store the acquired competencies and qualifications (CQ) in a so-called CQ-profile (CQP) while playing an educational game. The game and the course are based on a didactical structural template (DST), m...
Conference Paper
This paper aims to further develop and implement the Qualification-based Learning Model (QBLM) according to Wallenborn and Then at the University of Hagen (FUH). This paper will describe the concept for the so-called Competence and Qualification Profiles (CQPs). A CQP of a learner contains a profile with the already acquired Competencies and Qualif...
Conference Paper
Job design deals with the effect of work on the working person, a central content focus of the study module "Work and Organizational Psychology" in the bachelor's degree program in psychology at the University of Hagen (FUH). The critical teaching of theoretical basics of psychological work design, which is mainly done by reading and discussing rel...
Conference Paper
The purpose of the Bologna Reform is the comparability of study programs. For this reason, the Bologna Reform challenges higher education institutions to align or build up their study programs, the study courses there, the learning units therein, and the formats in which the courses are produced, in a competence-oriented manner the future. Qualific...
Conference Paper
Due to different facts, offering learning content via e-learning is becoming increasingly important for schools and Higher Education Institutes (HEI). Also, Lifelong Learning (LL) is becoming more critical – especially for companies and private persons. LL can take place everywhere and is not bound to a specific location. In general, LL is also tak...
Article
Full-text available
Genomic data enable the development of new biomarkers in diagnostic laboratories. Examples include data from gene expression analyses or metagenomics. Artificial intelligence can help to analyze these data. However, diagnostic laboratories face various technical and regulatory challenges to harness these data. Existing software for genomic data is...
Conference Paper
In our previous publications we introduced the concept of Didactical Structural Templates (DST) which are defined as a possibility to describe the didactical structure of a course, a study program or an applied game in an abstract way. The idea of DSTs is based on the structure of IMS Learning Design (IMS-LD), which is a quasi-standard for modellin...
Conference Paper
This paper describes a novel approach towards integrating work task simulation-based training of skills related to configuring relevant features for work design with the Qualifications-Based Learning Model (QBLM) approach. To achieve this, nine psychologically relevant work design characteristics from work content, workflow/organization, and social...
Article
Full-text available
Due to the exponential growth of medical information in the form of, e.g., text, images, Electrocardiograms (ECGs), X-ray, multimedia, etc., the management of a patient’s data has become a huge challenge. Particularly, the extraction of features from various different formats and their representation in a homogeneous way are areas of particular int...
Article
Full-text available
Genetics plays an ever-increasing role in medical diagnostics. The requirements for laboratory diagnostics are constantly changing due to new emerging diagnostic procedures, methodologies, devices, and regulatory requirements. Standard software already available for laboratories often cannot keep up with the latest developments or is focused on res...
Article
Full-text available
Multimedia feature graphs are employed to represent features of images, video, audio, or text. Various techniques exist to extract such features from multimedia objects. In this paper, we describe the extension of such a feature graph to represent the meaning of such multimedia features and introduce a formal context-free PS-grammar (Phrase Structu...
Article
Full-text available
Metagenomics promises to provide new valuable insights into the role of microbiomes in eukaryotic hosts such as humans. Due to the decreasing costs for sequencing, public and private repositories for human metagenomic datasets are growing fast. Metagenomic datasets can contain terabytes of raw data, which is a challenge for data processing but also...
Conference Paper
Full-text available
This paper discusses University of Hagen's approach for the TREC2021 News Track. The News Track aims at providing relevant background links to documents of the Washington Post article archive. Our submitted run is based on research and development in the field of multimedia information retrieval and employs a modified TFIDF (Text Frequency vs. Inve...
Conference Paper
Full-text available
In this paper, we present a hybrid and interdisciplinary approach for the calculation of argument strength, based on the coupling of two existing frameworks-the emerging Argument Recognition (eAR) framework of: (1) the emerging Named Entity Recognition Information Retrieval System (eNER-IRS) for textual medical articles, and (2) the Generic Multime...
Conference Paper
Computer and video games have established themselves in society and are increasingly finding their way into learning with so-called Educational Games (EduGame). EduGames often provides a fundamental analysis of learners' learning results, but there is currently no existing approach to map the learning results automatically to digital standardized m...
Conference Paper
Qualifications-Based Learning (QBL) is a software-technical approach that takes up former research & development activities in the area of Competence-Based Learning (CBL) and proposes improvements. The QBL domain model was conceived with the goal to support standardized qualifications frameworks as well as institution-specific catalogues designed f...
Conference Paper
Computer and video games have established themselves in society. Around 30,4 million Germans play at least occasionally, including 30 percent of 10- to 29-year-olds and 30 percent of 30- to 49-year-olds. Schoolchildren and students are therefore very familiar with the medium. Learning content presented in game form builds on these experiences. Game...
Conference Paper
Computer and video games have established themselves in society. Around 30,4 million Germans play at least occasionally, including 30 percent of 10- to 29-year-olds and 30 percent of 30- to 49-year-olds. Schoolchildren and students are therefore very familiar with the medium. Learning content presented in game form builds on these experiences. Gam...
Conference Paper
Computer and video games have established themselves in society and are increasingly finding their way into learning with so-called Educational Games (EduGame). EduGames often provides a fundamental analysis of learners' learning results, but there is currently no existing approach to map the learning results automatically to digital standardized m...
Preprint
Full-text available
This paper introduces a novel large dataset for experiments on high resolution image processing called HILOD21. This dataset contains 800 images, automated and manual annotations, and manual descriptions for every image and is available for public academic use. Various object detection algorithms have been implemented and performed on this dataset...
Chapter
Full-text available
Digitalisierung umgreift mittlerweile sämtliche gesellschaftlichen Funktionsbereiche und ist aus den lebensweltlichen Vollzügen kaum mehr wegzudenken. Technische Artefakte vernetzen sich immer stärker und bilden unter anderem einen (unsichtbaren) Hintergrund, mit dem menschliche Handlungen auf vielfältige Weise implizit und explizit verwoben sind....
Article
Full-text available
The indexing and retrieval of multimedia content is generally implemented by employing feature graphs. These graphs typically contain a significant number of nodes and edges to reflect the level of detail in feature detection. A higher level of detail increases the effectiveness of the results, but also leads to more complex graph structures. Howev...
Conference Paper
The purpose of the Bologna Reform is the comparability of study programs. For this reason, the Bologna Reform challenges higher education institutions to align or build up their study programs, the study courses therein, the Learning Units (LU) therein, and the formats in which the courses are produced in a competence-oriented manner in the future....
Article
Full-text available
Multimedia Indexing and Retrieval is generally designed and implemented by employing feature graphs. These graphs typically contain a significant number of nodes and edges to reflect the level of detail in feature detection. A higher level of detail increases the effectiveness of the results but also leads to more complex graph structures. However,...
Presentation
Full-text available
Presentation of the "Graph Codes - 2D Projections of Multimedia Feature Graphs for Fast and Effective Retrieval" on the ICIVR2021 conference.
Conference Paper
Full-text available
Multimedia Indexing and Retrieval is generally designed and implemented by employing feature graphs. These graphs typically contain a significant number of nodes and edges to reflect the level of detail in feature detection. A higher level of detail increases the effectiveness of the results but also leads to more complex graph structures. However,...
Article
Full-text available
Machine intelligence, a.k.a. artificial intelligence (AI) is one of the most prominent and relevant technologies today. It is in everyday use in the form of AI applications and has a strong impact on society. This article presents selected results of the 2020 Dagstuhl workshop on applied machine intelligence. Selected AI applications in various dom...
Article
This article summarizes selected aspects of a dissertation project and prior publications related to the DFG-funded RecomRatio research project. As such, it provides an end-to-end overview of a research project that aims at extracting and utilizing Emerging Knowledge represented by two concepts that we define as Emerging Named Entities and Emerging...
Article
Indexing and Retrieval of multimedia is generally implemented by employing feature graphs. These graphs typically contain a significant number of nodes and edges to reflect the level of detail in feature detection. A higher level of detail increases the effectiveness of the results, but also leads to more complex graph structures. However, graph-tr...
Chapter
In our previous e-learning publications, we introduced the concepts of Qualifications-Based Learning (QBL), Course Authoring Tools (CAT), and of Didactical Structural Templates (DST) which are a further development of the CAT. The DSTs have been combined with QBL. Therefore, the DSTs represent the pedagogical structure of learning materials. The id...
Conference Paper
Full-text available
This paper targets to introduce an architecture for Artificial Intelligence (AI) based Big Data Analysis and Visualization supported metagenomics research based on the AI2VIS4BigData Reference Model. Metagenomics research covers the examination of huge amounts of data to improve the understanding of microbial communities. Technological and methodic...
Chapter
Full-text available
With the rapid decrease in sequencing costs there is an increased research interest in metagenomics, the study of the genomic content of microbial communities. Machine learning has also seen a revolution with regards to versatility and performance in the last decade using techniques like “Deep Learning”. Classical as well as modern machine learning...
Chapter
To make the SenseCare KM-EP system more useful and smart, we integrated emotion recognition from facial expression. People with dementia have capricious feelings; the target of this paper is measuring and predicting these facial expressions. Analysis of data from emotional monitoring of dementia patients at home or during medical treatment will hel...
Chapter
Full-text available
It has become pressing to develop objective and automatic measurements integrated in intelligent diagnostic tools for detecting and monitoring depressive states and enabling an increased precision of diagnoses and clinical decision-makings. The challenge is to exploit behavioral and physiological biomarkers and develop Artificial Intelligent (AI) m...
Chapter
Public interest in the combined application domain of Artificial Intelligence (AI) - based Big Data Analysis and Visualization is currently peaking. Yet until recently, there was no reference model that provided common ground for information exchange in bigger projects or collaboration scenarios, that prevented scientists and private companies from...
Chapter
AI2VIS4BigData is a reference model for Artificial Intelligence (AI) - based Big Data Analysis and Visualization that provides uniform terminology and logical entity-relationships to scientists and professionals working in this application domain. It thereby enables re-utilization of concepts and software, prevents reinventing the wheel and facilit...
Article
Full-text available
To cope with the growing number of multimedia assets on smartphones and social media, an integrated approach for semantic indexing and retrieval is required. Here, we introduce a generic framework to fuse existing image and video analysis tools and algorithms into a unified semantic annotation, indexing and retrieval model resulting in a multimedia...
Chapter
Full-text available
In this research paper, we present a system for named entity recognition and automatic document classification in an innovative knowledge management system for Applied Gaming. The objective of this project is to facilitate the management of machine learning-based named entity recognition models, that can be used for both: extracting different types...
Chapter
Handling Big Data requires new techniques with regard to data access, integration, analysis, information visualization, perception, interaction, and insight within innovative and successful information strategies supporting informed decision making. After deriving and qualitatively evaluating the conceptual IVIS4BigData Reference Model as well as d...
Chapter
Emotion recognition has recently attracted much attention in both industrial and academic research as it can be applied in many areas from education to national security. In healthcare, emotion detection has a key role as emotional state is an indicator of depression and mental disease. Much research in this area focuses on extracting emotion relat...
Book
This book constitutes the thoroughly refereed post-workshop proceedings of the AVI 2020 Workshop on Road Mapping Infrastructures for Artificial Intelligence Supporting Advanced Visual Big Data Analysis, AVI-BDA 2020, held in Ischia, Italy, in June 2020, and the Second Italian Workshop on Visualization and Visual Analytics, held in Ischia, Italy, in...
Conference Paper
Full-text available
In this research paper, we present a system for named entity recognition and automatic document classification in an innovative knowledge management system for Applied Gaming. The objective of this project is to facilitate the management of machine learning-based named entity recognition models, that can be used for both: extracting different types...
Article
E-learning standards like learning tools interoperability can support at realizing innovative learning scenarios in distributed architectures. A learning tools interoperability connection between a learning management system and a gaming platform offers possibilities like embedding a game into an online course and sending player-specific data back...
Conference Paper
Full-text available
In our previous e-learning publications we introduced the concepts of Course Authoring Tools (CAT), and of Didactical Structural Templates (DST) which are a further development of the CAT. DSTs are defined as a possibility to describe the pedagogical structure of a course, a study program or an applied game in an abstract way. The idea of DSTs is b...
Chapter
Automated argument stance (pro/contra) detection is a challenging text categorization problem, especially if said arguments are to be detected for new topics. In previous research, we designed and evaluated an explainable machine learning based classifier. It was capable to achieve 96% F1 for argument stance recognition within the same topic and 60...
Conference Paper
In our previous e-learning publications, we introduced the concepts of Qualifications-Based Learning (QBL), Course Authoring Tools (CAT), and of Didactical Structural Templates (DST) which are a further development of the CAT. The DSTs have been combined with QBL. Therefore, the DSTs represent the pedagogical structure of learning materials. The id...
Conference Paper
The implementation of the extension of the KM-EP Course Authoring Tool (CAT) is to associate the competencies with the learning activities and an interface in order to export competencies to the Learning Management System (LMS) Moodle, which will serve as a foundation for enhancing it further with regards to generate course automation based on stud...
Conference Paper
In a previous publication we introduced the concept of Structural Templates (ST) which are a further development of the Course Authoring Tools introduced in earlier publications. STs are defined as a possibility to describe the pedagogical structure of a course, a study program or an applied game in an abstract way. The idea of STs is based on the...
Article
E-learning standards like Learning Tools Interoperability (LTI) can support software de- velopers and course authors at realizing innovative learning scenarios in distributed architec- tures. A LTI-connection between a Learning Management System (LMS) and a gaming plat- form offers possibilities like embedding a game or game asset into an online co...
Conference Paper
Full-text available
Affective Computing is a rather new and multidisciplinary research field that seeks for sophisticated automation in emotion detection for later analysis. However, the automated emotion detection and analysis require as well comprehensive data management support e.g. to keep control about produced data, to enable its efficient reuse through classifi...
Conference Paper
Full-text available
The reduced cost of DNA sequencing allows metagenomics to be applied on a larger scale. With metagenomic analysis, we have better insight into supplement usage, methane production, and feed conversion efficiency in livestock systems. Nevertheless, sequencing machines generate an enormous amount of complex data. Conventional method used in the analy...
Conference Paper
Affective Computing is a relative new, dynamic and interdisciplinary research field. Numerous contributions from fields like computer science, psychology, cognitive science, sociology, physiology and medical science have been made. Consequently, it is getting hard to track all recently published trends for early insights utilisation in practise or...
Conference Paper
Full-text available
In this paper we will introduce the concept of structural templates (ST) which are a further development of the Authoring Tools introduced in [1]. We will show what STs are useful for and that there is a need for an editor for STs in order to make the work easier for the producer of recurring learning content with the same structure. The STs will b...
Conference Paper
Obesity is a global challenge that affects health and wellbeing worldwide. In this position paper, we review the digital technology used in prevention of obesity and present the proposed STOP project that integrates state-of-the-art wearable technology, chatbot, gamification data fusion and machine learning with the aim to provide personalised supp...
Article
Traditionelle Gedächtnisinstitutionen – Archive, Bibliotheken und Museen – stehen vor der Herausforderung der digitalen Transformation. Insbesondere, da Inhalte aus unterschiedlichen Gründen nur zum Teil online verfügbar sind, während die externe Nachfrage nach der Nutzung der vorhandenen Archivinhalte ständig steigt. Dr beitrag befasst sich daher...