What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- The Internet
His scientific interests lie mostly in Ontology, Information retrieval, World Wide Web, Semantic Web and Ontology.
Process ontology, Upper ontology, Ontology-based data integration, Ontology engineering and Ontology Inference Layer are the primary areas of interest in his Ontology study.
His studies deal with areas such as Knowledge management and Knowledge engineering as well as Process ontology.
His Information retrieval research includes elements of Annotation, Artificial intelligence, Document clustering and Image retrieval.
His study in the fields of OWL-S and RDF under the domain of Semantic Web overlaps with other disciplines such as Friend of a friend.
Steffen Staab interconnects Semantics, Task and Peer-to-peer in the investigation of issues within Ontology.
His most cited work include:
- Ontology Learning for the Semantic Web (1628 citations)
- Handbook on Ontologies (1377 citations)
- Web Ontology Language: OWL (753 citations)
What are the main themes of his work throughout his whole career to date?
Steffen Staab spends much of his time researching World Wide Web, Information retrieval, Ontology, Semantic Web and Artificial intelligence.
His Information retrieval study incorporates themes from Annotation, Metadata and Image retrieval.
His Ontology research extends to Ontology, which is thematically connected.
His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, Computer vision and Natural language processing.
His study focuses on the intersection of Process ontology and fields such as Knowledge management with connections in the field of Knowledge base.
His research integrates issues of OWL-S and Ontology Inference Layer in his study of Upper ontology.
He most often published in these fields:
- World Wide Web (31.89%)
- Information retrieval (29.05%)
- Ontology (24.21%)
What were the highlights of his more recent work (between 2017-2021)?
- RDF (11.85%)
- Artificial intelligence (15.36%)
- Eye tracking (4.51%)
In recent papers he was focusing on the following fields of study:
His main research concerns RDF, Artificial intelligence, Eye tracking, Graph and Gaze.
His study in RDF is interdisciplinary in nature, drawing from both Programming language, Scalability, Benchmark and Graph.
As part of his studies on Artificial intelligence, Steffen Staab often connects relevant subjects like Natural language processing.
His Eye tracking research incorporates themes from Input method, Web page, Relation and Usability.
His Graph research is multidisciplinary, incorporating perspectives in Raster data, Raster graphics, GeoSPARQL and Semantic Web.
Steffen Staab has included themes like Query language and Information retrieval in his Vocabulary study.
Between 2017 and 2021, his most popular works were:
- Bias in data-driven artificial intelligence systems - An introductory survey (29 citations)
- Bias in data-driven artificial intelligence systems - An introductory survey (29 citations)
- Bias in data-driven artificial intelligence systems - An introductory survey (29 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- The Internet
Steffen Staab mainly investigates Artificial intelligence, Task, Scalability, RDF and Usability.
Steffen Staab conducts interdisciplinary study in the fields of Artificial intelligence and Term through his research.
His Task research includes themes of Artificial neural network, Business process, Rumor and Product.
His Scalability study which covers Distributed computing that intersects with Data transmission, Graph partition and Data analysis.
The concepts of his RDF study are interwoven with issues in Data modeling, Programming language, Description logic, Semantic data model and Query language.
He combines subjects such as Encoding, Accountability, Business Process Model and Notation, Identity and Software engineering with his study of Usability.
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