2023 - Research.com Computer Science in Germany Leader Award
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.
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.
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.
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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Ontology-Based Integration of Information — A Survey of Existing Approaches
Holger Wache;Thomas Vögele;Ubbo Visser;Heiner Stuckenschmidt.
international joint conference on artificial intelligence (2001)
Results of the Ontology Alignment Evaluation Initiative
J. Euzenat;M. Mochol;P. Shvaiko;H. Stuckenschmidt.
C-OWL: contextualizing ontologies
Paolo Bouquet;Fausto Giunchiglia;Frank Van Harmelen;Luciano Serafini.
international semantic web conference (2003)
The Semantic Web: Research and Applications
Lora Aroyo;Grigoris Antoniou;Eero Hyvönen;Annette ten Teije.
A framework for handling inconsistency in changing ontologies
Peter Haase;Frank van Harmelen;Zhisheng Huang;Heiner Stuckenschmidt.
international semantic web conference (2005)
Results of the ontology alignment evaluation initiative 2009
Jérôme Euzenat;Alfio Ferrara;Laura Hollink;Antoine Isaac.
international conference on ontology matching (2009)
Results of the ontology alignment evaluation initiative 2007
Jérôme Euzenat;Antoine Isaac;Christian Meilicke;Pavel Shvaiko.
international conference on ontology matching (2007)
Ontology alignment evaluation initiative: six years of experience
Jérôme Euzenat;Christian Meilicke;Heiner Stuckenschmidt;Pavel Shvaiko.
Journal on Data Semantics (2011)
Structure-based partitioning of large concept hierarchies
Heiner Stuckenschmidt;Michel Klein.
international semantic web conference (2004)
Information Sharing on the Semantic Web
Heiner Stuckenschmidt;Frank van Harmelen.
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