Auflistung nach Autor:in "Hemmje, Matthias"
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- ZeitschriftenartikelAdaptive Benutzerunterstützung in interaktiven Informationssuchprozessen(Datenbank-Spektrum: Vol. 11, No. 3, 2011) Backhausen, Daniel; Klas, Claus-Peter; Hemmje, MatthiasDie Suche nach Informationen ist ein in hohem Maße dynamischer und interaktiver Prozess, der aus verschiedenen Phasen besteht. In jeder dieser Phasen befindet sich der Suchende in einer bestimmten Situation. Diese besteht aus unterschiedlichen Faktoren, die auf den kognitiven Raum des Suchenden wirken und dadurch sein Verhalten und vor allem sein Bedürfnis nach Wissen steuern. Dies zeigt sich vor allem bei langfristigen Prozessen, die über mehrere Sitzungen hinweg verlaufen. Um den Suchenden hierbei effektiver zu unterstützen, ist es erforderlich, ein Bewusstsein über die Situation zu haben, in der sich der Suchende aktuell befindet. Darauf aufbauend können Aussehen und Verhalten eines Systems adaptiv an das dynamische Bedürfnis, das Verhalten und an die Kenntnisse des Suchenden flexibel angepasst werden. Darüber hinaus können situationsbezogene Vorschläge seitens des Systems an den Nutzer herangetragen werden, um diesen besser zu unterstützen. In dem hier vorliegenden Beitrag zeigen wir auf, wie durch eine ausführliche Analyse und Aufnahme kontextueller Faktoren eine Annäherung an das kognitive Modell des Nutzers stattfinden kann, um vor allem sitzungsübergreifende Suchaktivitäten effizienter und effektiver gestalten zu können.
- ZeitschriftenartikelCollaborative Information Seeking in Professional Work-Settings: A Study of Equipment Utilization(Datenbank-Spektrum: Vol. 14, No. 1, 2014) Böhm, Thilo; Klas, Claus-Peter; Hemmje, MatthiasIn various work domains, the collaborative performance of a work-task by a team can lead to a shared information need required to fulfill this task. Many empirical studies identified collaborative information seeking and searching (IS&S) as everyday work patterns in order to solve a shared information need and to benefit from the diverse expertise and experience of the team members. This paper presents first empirical results in an ongoing research project: We report on a pilot user study that investigates the collaborative IS&S practices of three work groups in academic and industrial research facilities. The aim of the conducted pilot study was to capture the use of software technologies for realizing collaboration, information seeking and sharing in real-world work settings. We discuss resulting design implications as guideline for extending the ezDL (ezDL: Easy Access to Digital Libraries, www.ezdl.de) system towards supporting collaborative IS&S activities.
- ZeitschriftenartikelCorporate Semantic Web – Applications, Technology, Methodology(Informatik-Spektrum: Vol. 39, No. 1, 2016) Hoppe, Thomas; Humm, Bernhard; Schade, Ulrich; Heuss, Timm; Hemmje, Matthias; Vogel, Tobias; Gernhardt, Benjamin
- ZeitschriftenartikelMachine intelligence today: applications, methodology, and technology(Informatik Spektrum: Vol. 44, No. 2, 2021) Humm, Bernhard G.; Bense, Hermann; Fuchs, Michael; Gernhardt, Benjamin; Hemmje, Matthias; Hoppe, Thomas; Kaupp, Lukas; Lothary, Sebastian; Schäfer, Kai-Uwe; Thull, Bernhard; Vogel, Tobias; Wenning, RigoMachine 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 domains, namely culture, education, and industrial manufacturing are presented. Current trends, best practices, and recommendations regarding AI methodology and technology are explained. The focus is on ontologies (knowledge-based AI) and machine learning.
- KonferenzbeitragSupporting Learning Analytics in Educational Games in consideration of Qualifications-Based Learning(DELFI 2021, 2021) Srbecky, Ramona; Frangenberg, Marcus; Wallenborn, Benjamin; Then, Matthias; Perez-Colado, Iván José; Alonso-Fernandez, Cristina; Fernandez-Manjon, Baltasar; Hemmje, MatthiasComputer 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 machine-readable Qualifications. In addition, different learning providers tend to use different approaches to describe Qualifications, often in the form of free text. Therefore, it is currently impossible to compare the reached Competencies and Qualifications (CQ) across different learning providers or only manually with high effort. In this paper, a prototypical implementation for automated mapping of learners' learning results in EduGames to standardized CQ will be introduced. The paper presents the conceptual work, the subsequent prototypical implementation with the chosen Analytics Environment, Game Engine, Learning Management System, and the evaluation results.
- KonferenzbeitragTowards a User-Empowering Architecture for Trustability Analytics(BTW 2023, 2023) Bruchhaus, Sebastian; Reis, Thoralf; Bornschlegl, Marco Xaver; Störl, Uta; Hemmje, MatthiasMachine learning (ML) thrives on big data like huge data sets and streams from IOT devices. Those technologies are becoming increasingly commonplace in our day to day existence. Learning autonomous intelligent actors (AIAs) impact our lives already in the form of, e.g. chat bots, medical expert systems, and facial recognition systems. Doubts concerning ethical, legal, and social implications of such AIAs become increasingly compelling in consequence. Our society now finds itself confronted with decisive questions: Should we trust AI? Is it fair, transparent, and respecting privacy? An individual psychological threshold for cooperation with AIAs has been postulated. In Shaefer’s words: “No trust, no use”. On the other hand, ignorance of an AIA’s weak points and idiosyncrasies can lead to overreliance. This paper proposes a prototypical microservice architecture for trustability analytics. Its architecture shall introduce self-awareness concerning trustability into the AI2VIS4BigData reference model for big data analysis and visualization by borrowing the concept of a “looking-glass self” from psychology.
- ZeitschriftenartikelUtilizing emerging knowledge to support medical argument retrieval(it - Information Technology: Vol. 63, No. 1, 2021) Nawroth, Christian; Engel, Felix; Hemmje, MatthiasThis 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 Argument Entities to support medical argumentation retrieval. We use these two concepts to model novelty in general scientific literature and, in particular, in medical argumentation. Therefore, this paper will provide an overview of Emerging Knowledge and definitions of Emerging Named Entities and Emerging Argument Entities. It includes a review of state-of-the-art and related work. A preparatory study shows that Emerging Argument Entities are in use in the medical literature. Based on the state of the art review and the preparatory study, a conceptual system design based on Emerging Named Entity Recognition and a state-of-the-art Argumentation Mining framework (ArgumenText) is introduced to extract Emerging Argument Entities from medical literature and make them available for Argument Retrieval. The conceptual system design supports two Argument Retrieval use cases: 1.) Ranking of result sets based on Emerging Argument Entities, and 2.) Highlighting Emerging Argument Entities within result sets. A case study for the extraction and visualization of Emerging Named Entities and Emerging Argument Entities is implemented based on the conceptual design. This proof-of-concept system is used to conduct technical evaluations regarding the Emerging Named Entity Recognition. Furthermore, prior results of an expert-based evaluation are presented. The article finishes with a conclusion and brief outlook of future work, e. g., supporting the Argument Interchange Format.