Prof. Dr. Robert Jäschke
Profil
Forschungsthemen11
Anwendungsorientierte Infrastruktur für KI-Communities in Lehr-Lern-Settings
Quelle ↗Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 12/2021 - 11/2025 Projektleitung: Malte Dreyer, Dr. Andrea Beyer, Prof. Dr. Niels Pinkwart, Uwe Pirr, Prof. Dr. Elisabeth Mayweg, Prof. Dr. Robert Jäschke, Wolfgang Deicke
Anwendungsorientierte Infrastruktur für KI-Communities in Lehr-Lern-Settings
Quelle ↗Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 12/2021 - 11/2025 Projektleitung: Prof. Dr. Torsten Hiltmann, Prof. Dr. Elisabeth Mayweg, VP für Studium und Internationales VPSI, Uwe Pirr, Prof. Dr. Robert Jäschke, Wolfgang Deicke
Anwendungsorientierte Infrastruktur für KI-Communities in Lehr-Lern-Settings
Quelle ↗Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 12/2021 - 11/2025 Projektleitung: Prof. Dr. Elisabeth Mayweg, VP für Studium und Internationales VPSI, Prof. Dr. Torsten Hiltmann, Uwe Pirr, Prof. Dr. Robert Jäschke, Wolfgang Deicke
Anwendungsorientierte Infrastruktur für KI-Communities in Lehr-Lern-Settings
Quelle ↗Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 12/2021 - 11/2025 Projektleitung: Prof. Dr. Robert Jäschke
Ist Expert:innenwissen der Schlüssel? Interpretationstexte als Ressource für die Analyse literarischer Werke in den Computational Literary Studies
Quelle ↗Förderer: DFG Schwerpunktprogramm Zeitraum: 08/2023 - 10/2026 Projektleitung: Prof. Dr. Robert Jäschke, Prof. Dr. Steffen Martus
Ist Expert:innenwissen der Schlüssel? Interpretationstexte als Ressource für die Analyse literarischer Werke in den Computational Literary Studies
Quelle ↗Förderer: DFG Schwerpunktprogramm Zeitraum: 10/2023 - 09/2026 Projektleitung: Prof. Dr. Steffen Martus, Prof. Dr. Robert Jäschke
REGIO - Eine Kartierung der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden und Innovationsclustern. Determinanten der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden
Quelle ↗Förderer: Bundesministerium für Forschung, Technologie und Raumfahrt Zeitraum: 07/2018 - 06/2021 Projektleitung: Prof. Dr. Robert Jäschke, Prof. Dr. Guido Bünstorf
SPP 2207: Was ist wichtig? Schlüsselstellen in der Literatur (TP)
Quelle ↗Förderer: DFG Schwerpunktprogramm Zeitraum: 04/2020 - 03/2023 Projektleitung: Prof. Dr. Steffen Martus, Prof. Dr. Robert Jäschke
Text Data Mining im GiNLab
Quelle ↗Förderer: DFG sonstige Programme Zeitraum: 01/2020 - 07/2021 Projektleitung: Prof. Dr. Robert Jäschke
Unknown Data – Erfassung und Konsolidierung von Metadaten für Forschungsdaten aus dem Web
Quelle ↗Förderer: DFG sonstige Programme Zeitraum: 10/2021 - 06/2025 Projektleitung: Prof. Dr. Robert Jäschke
Was ist wichtig? Schlüsselstellen in der Literatur
Quelle ↗Förderer: DFG Schwerpunktprogramm Zeitraum: 06/2020 - 07/2023 Projektleitung: Prof. Dr. Robert Jäschke, Prof. Dr. Steffen Martus
Mögliche Industrie-Partner10
Stand: 26.4.2026, 19:48:44 (Top-K=20, Min-Cosine=0.4)
- 38 Treffer85.0%
- REGIO - Eine Kartierung der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden und Innovationsclustern. Determinanten der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen ForschungsverbündenK85.0%
- REGIO - Eine Kartierung der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden und Innovationsclustern. Determinanten der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden
- 35 Treffer62.7%
- Translation for Massive Open Online CoursesP62.7%
- Translation for Massive Open Online Courses
- 34 Treffer62.7%
- Translation for Massive Open Online CoursesP62.7%
- Translation for Massive Open Online Courses
- 33 Treffer62.7%
- Translation for Massive Open Online CoursesP62.7%
- Translation for Massive Open Online Courses
- 14 Treffer61.3%
- Generalized Quatum Batalin-Vilkovisky Formalism and Graphical CalculusP61.3%
- Generalized Quatum Batalin-Vilkovisky Formalism and Graphical Calculus
- 26 Treffer61.2%
- Embodied Audition for RobotSP61.2%
- Embodied Audition for RobotS
- 23 Treffer61.1%
- Zuwendung im Rahmen des Programms „exist – Existenzgründungen aus der Wissenschaft“ aus dem Bundeshaushalt, Einzelplan 09, Kapitel 02, Titel 68607, Haushaltsjahr 2026, sowie aus Mitteln des Europäischen Strukturfonds (hier Euro-päischer Sozialfonds Plus – ESF Plus) Förderperiode 2021-2027 – Kofinanzierung für das Vorhaben: „exist Women“T61.1%
- Zuwendung im Rahmen des Programms „exist – Existenzgründungen aus der Wissenschaft“ aus dem Bundeshaushalt, Einzelplan 09, Kapitel 02, Titel 68607, Haushaltsjahr 2026, sowie aus Mitteln des Europäischen Strukturfonds (hier Euro-päischer Sozialfonds Plus – ESF Plus) Förderperiode 2021-2027 – Kofinanzierung für das Vorhaben: „exist Women“
- 25 Treffer60.1%
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- Systematic Models for Biological Systems Engineering Training Network
Protatuans-Etaireia Ereynas Viotechologias Monoprosopi Etaireia Periorisments Eythinis
P25 Treffer60.1%- Systematic Models for Biological Systems Engineering Training NetworkP60.1%
- Systematic Models for Biological Systems Engineering Training Network
- 25 Treffer60.1%
- Systematic Models for Biological Systems Engineering Training NetworkP60.1%
- Systematic Models for Biological Systems Engineering Training Network
Publikationen25
Top 25 nach Zitationen — Quelle: OpenAlex (BAAI/bge-m3 embedded für Matching).
Lecture notes in computer science · 855 Zitationen · DOI
Lecture notes in computer science · 516 Zitationen · DOI
AI Communications · 203 Zitationen · DOI
Collaborative tagging systems allow users to assign keywords – so called “tags” – to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include
Studies in classification, data analysis, and knowledge organization · 191 Zitationen · DOI
172 Zitationen · DOI
Although vasectomy is a safe and highly effective method of contraception, uptake is variable globally, with scope for increased engagement in high income nations. Very little qualitative research has been published in recent years to explore men's perspectives on vasectomy, which represents a key opportunity to better understand and strengthen men's contribution to reproductive and contraception equality. This paper takes a scoping review approach to identify key findings from the small but important body of qualitative literature. Recent masculinities research argues that, despite some expansion in ways of being masculine, an underpinning ethos of <i>masculinist</i> dominance remains. Extant research on men's attitudes to vasectomy supports this ambivalent picture, indicating that while there are extending repertoires of masculinity for men to draw on in making sense of vasectomy, many remain underpinned by masculinist narratives. There remains scope for education and health promotion ensuring vasectomy is viewed as a suitable and safe option by more men of reproductive age. Increased uptake of vasectomy may also help shift the longstanding social expectation that women take primary responsibility for contraceptive practices, challenging gender discourses on contraception.
161 Zitationen
In social bookmark tools users are setting up lightweight conceptual structures called folksonomies. Currently, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset. A long version of this paper has been published at the European Semantic Web Conference 2006 [3].
Journal of Web Semantics · 122 Zitationen · DOI
Proceedings · 122 Zitationen · DOI
In this paper, we present the foundations for mining frequent tri-concepts, which extend the notion of closed item-sets to three-dimensional data to allow for mining folk-sonomies. We provide a formal definition of the problem, and present an efficient algorithm for its solution as well as experimental results on a large real-world example.
The VLDB Journal · 117 Zitationen · DOI
Lecture notes in computer science · 92 Zitationen · DOI
Lecture notes in computer science · 73 Zitationen · DOI
67 Zitationen · DOI
it - Information Technology · 60 Zitationen · DOI
Abstract Conferator is a novel social conference system that provides the management of social interactions and context information in ubiquitous and social environments. Using RFID and social networking technology, Conferator provides the means for effective management of personal contacts and according conference information before, during and after a conference. We describe the system in detail, before we analyze and discuss results of a typical application of the Conferator system.
39 Zitationen · DOI
For millions of users Twitter is an important communication platform, a social network, and a system for resource sharing. Likewise, scientists use Twitter to connect with other researchers, announce calls for papers, or share their thoughts. Filtering tweets, discovering other researchers, or finding relevant information on a topic of interest, however, is difficult since no directory of researchers on Twitter exists.
38 Zitationen
Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. In this paper we specify aformal model for folksonomies, briefly describe our own system BibSonomy, which allows for sharing both bookmarks and publication references, and discuss first steps towards emergent semantics.
Lecture notes in computer science · 34 Zitationen · DOI
33 Zitationen · DOI
29 Zitationen · DOI
The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on the evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance. In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents a first evaluation of two exemplarily deployed recommendation methods.
25 Zitationen · DOI
Social bookmarking systems constitute an established part of the Web 2.0. In such systems users describe bookmarks by keywords called tags. The structure behind these social systems, called folksonomies, can be viewed as a tripartite hypergraph of user, tag and resource nodes. This underlying network shows specific structural properties that explain its growth and the possibility of serendipitous exploration.Today's search engines represent the gateway to retrieve information from the World Wide Web. Short queries typically consisting of two to three words describe a user's information need. In response to the displayed results of the search engine, users click on the links of the result page as they expect the answer to be of relevance.This clickdata can be represented as a folksonomy in which queries are descriptions of clicked URLs. The resulting network structure, which we will term logsonomy is very similar to the one of folksonomies. In order to find out about its properties, we analyze the topological characteristics of the tripartite hypergraph of queries, users and bookmarks on a large snapshot of del.icio.us and on query logs of two large search engines. All of the three datasets show small world properties. The tagging behavior of users, which is explained by preferential attachment of the tags in social bookmark systems, is reflected in the distribution of single query words in search engines. We can conclude that the clicking behaviour of search engine users based on the displayed search results and the tagging behaviour of social bookmarking users is driven by similar dynamics.
24 Zitationen · DOI
Since the rise of collaborative tagging systems on the web, the tag recommendation task -- suggesting suitable tags to users of such systems while they add resources to their collection -- has been tackled. However, the (offline) evaluation of tag recommendation algorithms usually suffers from difficulties like the sparseness of the data or the cold start problem for new resources or users. Previous studies therefore often used so-called post-cores (specific subsets of the original datasets) for their experiments. In this paper, we conduct a large-scale experiment in which we analyze different tag recommendation algorithms on different cores of three real-world datasets. We show, that a recommender's performance depends on the particular core and explore correlations between performances on different cores.
18 Zitationen · DOI
The ever-growing flood of new scientific articles requires novel retrieval mechanisms. One means for mitigating this instance of the information overload phenomenon are collaborative tagging systems, that allow users to select, share and annotate references to publications. These systems employ recommendation algorithms to present to their users personalized lists of interesting and relevant publications. In this paper we analyze different ways to incorporate social data and metadata from collaborative tagging systems into the graph-based ranking algorithm FolkRank to utilize it for recommending scientific articles to users of the social bookmarking system BibSonomy. We compare the results to those of Collaborative Filtering, which has previously been applied for resource recommendation.
Lecture notes in computer science · 16 Zitationen · DOI
Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research
2021Scientometrics · 15 Zitationen · DOI
Abstract Creation and exchange of knowledge depends on collaboration. Recent work has suggested that the emergence of collaboration frequently relies on geographic proximity. However, being co-located tends to be associated with other dimensions of proximity, such as social ties or a shared organizational environment. To account for such factors, multiple dimensions of proximity have been proposed, including cognitive, institutional, organizational, social and geographical proximity. Since they strongly interrelate, disentangling these dimensions and their respective impact on collaboration is challenging. To address this issue, we propose various methods for measuring different dimensions of proximity. We then present an approach to compare and rank them with respect to the extent to which they indicate co-publications and co-inventions. We adapt the HypTrails approach, which was originally developed to explain human navigation, to co-author and co-inventor graphs. We evaluate this approach on a subset of the German research community, specifically academic authors and inventors active in research on artificial intelligence (AI). We find that social proximity and cognitive proximity are more important for the emergence of collaboration than geographic proximity.
Intelligent systems reference library · 15 Zitationen · DOI
15 Zitationen · DOI
Kooperationen5
Bestätigte Forscher↔Partner-Paare aus HU-FIS — Gold-Standard-Positive für das Matching.
REGIO - Eine Kartierung der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden und Innovationsclustern. Determinanten der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden
other
Unknown Data – Erfassung und Konsolidierung von Metadaten für Forschungsdaten aus dem Web
other
REGIO - Eine Kartierung der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden und Innovationsclustern. Determinanten der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden
other
REGIO - Eine Kartierung der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden und Innovationsclustern. Determinanten der Entstehung und des Erfolgs von Kooperationsbeziehungen in regionalen Forschungsverbünden
university
Unknown Data – Erfassung und Konsolidierung von Metadaten für Forschungsdaten aus dem Web
company
Stammdaten
Identität, Organisation und Kontakt aus HU-FIS.
- Name
- Prof. Dr. Robert Jäschke
- Titel
- Prof. Dr.
- Fakultät
- Philosophische Fakultät
- Institut
- Institut für Bibliotheks- und Informationswissenschaft
- Arbeitsgruppe
- Information Processing and Analytics
- Telefon
- +49 30 2093- 70960
- HU-FIS-Profil
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- Zuletzt gescrapt
- 26.4.2026, 01:06:43