What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Law
Heiner Stuckenschmidt mainly focuses on Ontology, Information retrieval, Artificial intelligence, Ontology alignment and Semantic Web.
While the research belongs to areas of Ontology, Heiner Stuckenschmidt spends his time largely on the problem of Ontology, intersecting his research to questions surrounding IDEF5, Ontology components, Semantics and Web Ontology Language.
The Linked data research he does as part of his general Information retrieval study is frequently linked to other disciplines of science, such as Semantic translation, therefore creating a link between diverse domains of science.
His work deals with themes such as Ubiquitous computing, Context, Machine learning and Data mining, which intersect with Artificial intelligence.
Heiner Stuckenschmidt works mostly in the field of Ontology alignment, limiting it down to concerns involving Test and, occasionally, Web site.
His Ontology-based data integration research is multidisciplinary, incorporating perspectives in Information integration and Semantic integration.
His most cited work include:
- Ontology-Based Integration of Information — A Survey of Existing Approaches (1109 citations)
- Results of the Ontology Alignment Evaluation Initiative (423 citations)
- C-OWL: contextualizing ontologies (339 citations)
What are the main themes of his work throughout his whole career to date?
Information retrieval, Ontology, Artificial intelligence, Semantic Web and Theoretical computer science are his primary areas of study.
His Information retrieval study frequently links to other fields, such as Context.
Ontology is closely attributed to Ontology in his work.
He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Natural language processing and, in certain cases, Semantics.
Semantic Web is a subfield of World Wide Web that Heiner Stuckenschmidt tackles.
His research in Theoretical computer science is mostly focused on Description logic.
He most often published in these fields:
- Information retrieval (29.53%)
- Ontology (22.54%)
- Artificial intelligence (21.24%)
What were the highlights of his more recent work (between 2016-2021)?
- Artificial intelligence (21.24%)
- Machine learning (8.03%)
- Task (5.44%)
In recent papers he was focusing on the following fields of study:
Heiner Stuckenschmidt focuses on Artificial intelligence, Machine learning, Task, Theoretical computer science and Probabilistic logic.
The study incorporates disciplines such as Process, Pattern recognition, Computer vision and Natural language processing in addition to Artificial intelligence.
His Theoretical computer science research incorporates themes from Graph, Embedding, Knowledge graph, Simple and Extension.
In his study, Factor graph, Schema and Description logic is inextricably linked to Inference, which falls within the broad field of Probabilistic logic.
The Activity recognition study combines topics in areas such as Ubiquitous computing, Ontology, Annotation and Context model.
His Ontology study is focused on Information retrieval in general.
Between 2016 and 2021, his most popular works were:
- Position-aware activity recognition with wearable devices (53 citations)
- Fine-Grained Evaluation of Rule- and Embedding-Based Systems for Knowledge Graph Completion (37 citations)
- Cluster-based hierarchical demand forecasting for perishable goods (36 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Machine learning
His scientific interests lie mostly in Artificial intelligence, Machine learning, Activity recognition, Task and Theoretical computer science.
His Artificial intelligence study combines topics in areas such as Ubiquitous computing, Context and Natural language processing.
His study explores the link between Machine learning and topics such as Data mining that cross with problems in Order picking and Data set.
His Activity recognition research incorporates elements of Ontology, Active learning, Popularity and Wearable technology.
Heiner Stuckenschmidt integrates Ontology and Activities of daily living in his studies.
His Theoretical computer science study combines topics from a wide range of disciplines, such as Embedding, Top-down and bottom-up design, Knowledge graph, Query language and Task.
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