Sebastian Hellmann
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View article: Bias by Variance: How Common Parameter Transformations in Hierarchical Models Distort Group-Level Estimates
Bias by Variance: How Common Parameter Transformations in Hierarchical Models Distort Group-Level Estimates Open
Hierarchical models are widely used to estimate group- and individual-level parameters in cognitive and behavioral research. When model parameters are bounded within a particular range, it is common practice to estimate the group-level par…
View article: dynConfiR: An R package for sequential sampling models of decision confidence
dynConfiR: An R package for sequential sampling models of decision confidence Open
The modeling of response times using sequential sampling models has a long history. Because choices, confidence judgments, and reaction times are closely linked in perceptual decisions, it seems only natural to simultaneously model these t…
View article: dynConfiR: The R package for sequential sampling models of decision confidence
dynConfiR: The R package for sequential sampling models of decision confidence Open
The modeling of response times using sequential sampling models has a long history. Because choices, confidence judgments, and reaction times are closely linked in perceptual decisions, it seems only natural to simultaneously model these t…
View article: dynConfiR: An R package for sequential sampling models of decision confidence
dynConfiR: An R package for sequential sampling models of decision confidence Open
The modeling of response times using sequential sampling models has a long history. Because choices, confidence judgments, and reaction times are closely linked in perceptual decisions, it seems only natural to simultaneously model these t…
View article: statConfR: An R Package for Static Models of Decision Confidence and Metacognition
statConfR: An R Package for Static Models of Decision Confidence and Metacognition Open
We present the statConfR package for R, which allows researchers to conveniently fit and compare nine different static models of decision confidence applicable to binary discrimination tasks with confidence ratings: the signal detection ra…
View article: Supplemental Material for Measures of Metacognitive Efficiency Across Cognitive Models of Decision Confidence
Supplemental Material for Measures of Metacognitive Efficiency Across Cognitive Models of Decision Confidence Open
Correlations between the parameter estimates for the seven different generative models and log(meta-d'/d')Model Parameter Correlation with log(meta-d'/d') Maniscalco and Lau's model specification Correlation with log(meta-d'/d') Fleming's …
View article: Confidence is influenced by evidence accumulation time in dynamical decision models
Confidence is influenced by evidence accumulation time in dynamical decision models Open
Confidence judgments are closely correlated with response times across a wide range of decision tasks. Sequential sampling models offer two competing explanations for the relationship between confidence and response time: According to some…
View article: Distributed Data Infrastructure
Distributed Data Infrastructure Open
Deliverable D3 of the LOD-GEOSS Project.
View article: Measures of metacognitive efficiency across cognitive models of decision confidence
Measures of metacognitive efficiency across cognitive models of decision confidence Open
Meta-d′/d′ has become the quasi-gold standard to quantify metacognitive efficiency because meta-d′/d′ was developed to control for discrimination performance, discrimination criteria, and confidence criteria even without the assumption of …
View article: Introduction
Introduction Open
To be effective, data-intensive systems require extensive ongoing customisation to reflect changing user requirements, organisational policies, and the structure and interpretation of the data they hold. Manual customisation is expensive, …
View article: Simultaneous modeling of choice, confidence and response time in visual perception
Simultaneous modeling of choice, confidence and response time in visual perception Open
Many decisions must be made with incomplete information. The ability to evaluate the resulting uncertainty is a key aspect of metacognition. As both confidence judgments and reaction times are expected to be closely related to sensory unce…
View article: SKG4EOSC - Scholarly Knowledge Graphs for EOSC: Establishing a backbone of knowledge graphs for FAIR Scholarly Information in EOSC
SKG4EOSC - Scholarly Knowledge Graphs for EOSC: Establishing a backbone of knowledge graphs for FAIR Scholarly Information in EOSC Open
In the age of advanced information systems powering fast-paced knowledge economies that face global societal challenges, it is no longer adequate to express scholarly information - an essential resource for modern economies - primarily as …
View article: Approaches to measure class importance in Knowledge Graphs
Approaches to measure class importance in Knowledge Graphs Open
The amount, size, complexity, and importance of Knowledge Graphs (KGs) have increased during the last decade. Many different communities have chosen to publish their datasets using Linked Data principles, which favors the integration of th…
View article: FAIR Linked Data - Towards a Linked Data Backbone for Users and Machines
FAIR Linked Data - Towards a Linked Data Backbone for Users and Machines Open
Although many FAIR principles could be fulfilled by 5-star Linked Open Data, the successful realization of FAIR poses a multitude of challenges. FAIR publishing and retrieval of Linked Data is still rather a FAIRytale than reality, for use…
View article: MMoOn Core – the Multilingual Morpheme Ontology
MMoOn Core – the Multilingual Morpheme Ontology Open
In the last years a rapid emergence of lexical resources has evolved in the Semantic Web. Whereas most of the linguistic information is already machine-readable, we found that morphological information is mostly absent or only contained in…
View article: The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows
The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows Open
Since its inception in 2007, DBpedia has been constantly releasing open data in RDF, extracted from various Wikimedia projects using a complex software system called the DBpedia Information Extraction Framework (DIEF). For the past 12 year…
View article: DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction\n Corpus
DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction\n Corpus Open
In the past decade, the DBpedia community has put significant amount of\neffort on developing technical infrastructure and methods for efficient\nextraction of structured information from Wikipedia. These efforts have been\nprimarily focus…
View article: DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus
DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus Open
In the past decade, the DBpedia community has put significant amount of effort on developing technical infrastructure and methods for efficient extraction of structured information from Wikipedia. These efforts have been primarily focused …
View article: Predicting incorrect mappings
Predicting incorrect mappings Open
DBpedia releases consist of more than 70 multilingual datasets that cover data extracted from different language-specific Wikipedia instances. The data extracted from those Wikipedia instances are transformed into RDF using mappings create…
View article: Investigating the Morphological Complexity of German Named Entities: The Case of the GermEval NER Challenge
Investigating the Morphological Complexity of German Named Entities: The Case of the GermEval NER Challenge Open
This paper presents a detailed analysis of Named Entity Recognition (NER) in German, based on the performance of systems that participated in the GermEval 2014 shared task. It focuses on the role of morphology in named entities, an issue t…
View article: Inference of Latent Shape Expressions Associated to DBpedia Ontology
Inference of Latent Shape Expressions Associated to DBpedia Ontology Open
ISWC 2018 Posters & Demonstrations, Industry and Blue Sky Ideas Tracks co-located with 17th International Semantic Web Conference (2018, Monterey, USA)
View article: Editorial: Special issue on quality management of Semantic Web assets (data, services and systems)
Editorial: Special issue on quality management of Semantic Web assets (data, services and systems) Open
This editorial summarizes the content of the Special Issue on Quality Management of Semantic Web Assets (Data, Services and Systems) part of the Semantic Web Journal.
View article: Confidence in masked orientation discrimination decisions is informed by both evidence and visibility
Confidence in masked orientation discrimination decisions is informed by both evidence and visibility Open
How do human observers determine their degree of belief of being correct in a visual discrimination decision, i.e. their confidence? According to prominent theories of confidence, the quality of stimulation should be positively related to …
View article: OnLiT: An Ontology for Linguistic Terminology
OnLiT: An Ontology for Linguistic Terminology Open
Understanding the differences underlying the scope, usage and content of language data requires the provision of a clarifying terminological basis which is integrated in the metadata describing a particular language resource. While termino…
View article: The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud
The Open Linguistics Working Group: Developing the Linguistic Linked Open Data Cloud Open
The Open Linguistics Working Group (OWLG) brings together researchers from various fields of linguistics, natural language processing, and information technology to present and discuss principles, case studies, and best practices for repre…