81 citations · 358 across the 20 of their papers we have counts for
22 papers
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo +13
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm. This inflection point marks a shift from explicit knowledge representation to a renew…
Which Factors are associated with Open Access Publishing? A Springer Nature Case Study
Fakhri Momeni, Stefan Dietze, Philipp Mayr +2
Open Access (OA) facilitates access to articles. But, authors or funders often must pay the publishing costs preventing authors who do not receive financial support from participat…
SciTweets -- A Dataset and Annotation Framework for Detecting Scientific Online Discourse
Salim Hafid, Sebastian Schellhammer, Sandra Bringay +2
Scientific topics, claims and resources are increasingly debated as part of online discourse, where prominent examples include discourse related to COVID-19 or climate change. This…
Still Haven't Found What You're Looking For -- Detecting the Intent of Web Search Missions from User Interaction Features
Ran Yu, Limock, Stefan Dietze
Web search is among the most frequent online activities. Whereas traditional information retrieval techniques focus on the information need behind a user query, previous work has s…
Investigating the contribution of author- and publication-specific features to scholars' h-index prediction
Fakhri Momeni, Philipp Mayr, Stefan Dietze
Evaluation of researchers' output is vital for hiring committees and funding bodies, and it is usually measured via their scientific productivity, citations, or a combined metric s…
The many facets of academic mobility and its impact on scholars' career
Fakhri Momeni, Fariba Karimi, Philipp Mayr +2
International mobility in academia can enhance the human and social capital of researchers and consequently their scientific outcome. However, there is still a very limited underst…
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search
Christian Otto, Markus Rokicki, Georg Pardi +9
The emerging research field Search as Learning investigates how the Web facilitates learning through modern information retrieval systems. SAL research requires significant amounts…
SoMeSci- A 5 Star Open Data Gold Standard Knowledge Graph of Software Mentions in Scientific Articles
David Schindler, Felix Bensmann, Stefan Dietze +1
Knowledge about software used in scientific investigations is important for several reasons, for instance, to enable an understanding of provenance and methods involved in data han…
Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption
Christian Otto, Ran Yu, Georg Pardi +7
In informal learning scenarios the popularity of multimedia content, such as video tutorials or lectures, has significantly increased. Yet, the users' interactions, navigation beha…
Better Together -- An Ensemble Learner for Combining the Results of Ready-made Entity Linking Systems
Renato Stoffalette João, Pavlos Fafalios, Stefan Dietze
Entity linking (EL) is the task of automatically identifying entity mentions in text and resolving them to a corresponding entity in a reference knowledge base like Wikipedia. Thro…
The Role of Word-Eye-Fixations for Query Term Prediction
Masoud Davari, Daniel Hienert, Dagmar Kern +1
Throughout the search process, the user's gaze on inspected SERPs and websites can reveal his or her search interests. Gaze behavior can be captured with eye tracking and described…
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents
Arjun Roy, Pavlos Fafalios, Asif Ekbal +2
Fact checking is an essential challenge when combating fake news. Identifying documents that agree or disagree with a particular statement (claim) is a core task in this process. I…
TweetsCOV19 -- A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic
Dimitar Dimitrov, Erdal Baran, Pavlos Fafalios +4
Publicly available social media archives facilitate research in the social sciences and provide corpora for training and testing a wide range of machine learning and natural langua…
A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs
Matthäus Zloch, Maribel Acosta, Daniel Hienert +2
As the availability and the inter-connectivity of RDF datasets grow, so does the necessity to understand the structure of the data. Understanding the topology of RDF graphs can gui…
Data4UrbanMobility: Towards Holistic Data Analytics for Mobility Applications in Urban Regions
Nicolas Tempelmeier, Yannick Rietz, Iryna Lishchuk +5
With the increasing availability of mobility-related data, such as GPS-traces, Web queries and climate conditions, there is a growing demand to utilize this data to better understa…
Same but Different: Distant Supervision for Predicting and Understanding Entity Linking Difficulty
Renato Stoffalette João, Pavlos Fafalios, Stefan Dietze
Entity Linking (EL) is the task of automatically identifying entity mentions in a piece of text and resolving them to a corresponding entity in a reference knowledge base like Wiki…
TweetsKB: A Public and Large-Scale RDF Corpus of Annotated Tweets
Pavlos Fafalios, Vasileios Iosifidis, Eirini Ntoutsi +1
Publicly available social media archives facilitate research in a variety of fields, such as data science, sociology or the digital humanities, where Twitter has emerged as one of…
Time-Aware and Corpus-Specific Entity Relatedness
Nilamadhaba Mohapatra, Vasileios Iosifidis, Asif Ekbal +2
Entity relatedness has emerged as an important feature in a plethora of applications such as information retrieval, entity recommendation and entity linking. Given an entity, for i…
Detecting, Understanding and Supporting Everyday Learning in Web Search
Ran Yu, Ujwal Gadiraju, Stefan Dietze
Web search is among the most ubiquitous online activities, commonly used to acquire new knowledge and to satisfy learning-related objectives through informational search sessions.…
Predicting User Knowledge Gain in Informational Search Sessions
Ran Yu, Ujwal Gadiraju, Peter Holtz +3
Web search is frequently used by people to acquire new knowledge and to satisfy learning-related objectives. In this context, informational search missions with an intention to obt…
Inferring Missing Categorical Information in Noisy and Sparse Web Markup
Nicolas Tempelmeier, Elena Demidova, Stefan Dietze
Embedded markup of Web pages has seen widespread adoption throughout the past years driven by standards such as RDFa and Microdata and initiatives such as schema.org, where recent…
Improving Entity Retrieval on Structured Data
Besnik Fetahu, Ujwal Gadiraju, Stefan Dietze
The increasing amount of data on the Web, in particular of Linked Data, has led to a diverse landscape of datasets, which make entity retrieval a challenging task. Explicit cross-d…